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Articles published in
J Neuroeng Rehabil
    April 2024
  1. TULIMIERI DT, Semrau JA
    Impaired proprioception and magnified scaling of proprioceptive error responses in chronic stroke.
    J Neuroeng Rehabil. 2024;21:51.
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  2. DEVITTORI G, Dinacci D, Romiti D, Califfi A, et al
    Unsupervised robot-assisted rehabilitation after stroke: feasibility, effect on therapy dose, and user experience.
    J Neuroeng Rehabil. 2024;21:52.
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  3. CHANG CS, Chen CL, Chen RS, Chen HC, et al
    Synergistic efficacy of repetitive peripheral magnetic stimulation on central intermittent theta burst stimulation for upper limb function in patients with stroke: a double-blinded, randomized controlled trial.
    J Neuroeng Rehabil. 2024;21:49.
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  4. CARONNI A, Picardi M, Scarano S, Rota V, et al
    Minimal detectable change of gait and balance measures in older neurological patients: estimating the standard error of the measurement from before-after rehabilitation data thanks to the linear mixed-effects models.
    J Neuroeng Rehabil. 2024;21:44.
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    March 2024
  5. KIM JM, Kim MS, Choi SY, Ryu JS, et al
    Prediction of dysphagia aspiration through machine learning-based analysis of patients' postprandial voices.
    J Neuroeng Rehabil. 2024;21:43.
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  6. NIERING M, Seifert J
    The effects of visual skills training on cognitive and executive functions in stroke patients: a systematic review with meta-analysis.
    J Neuroeng Rehabil. 2024;21:41.
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  7. LIN HP, Xu Y, Zhang X, Woolley D, et al
    A usability study on mobile EMG-guided wrist extension training in subacute stroke patients-MyoGuide.
    J Neuroeng Rehabil. 2024;21:39.
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  8. EVERARD G, Burton Q, Van de Sype V, Bibentyo TN, et al
    Extended reality to assess post-stroke manual dexterity: contrasts between the classic box and block test, immersive virtual reality with controllers, with hand-tracking, and mixed-reality tests.
    J Neuroeng Rehabil. 2024;21:36.
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    February 2024
  9. ZHANG JJ, Bai Z, Fong KNK
    Resting-state cortical electroencephalogram rhythms and network in patients after chronic stroke.
    J Neuroeng Rehabil. 2024;21:32.
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  10. CASHABACK JGA, Allen JL, Chou AH, Lin DJ, et al
    NSF DARE-transforming modeling in neurorehabilitation: a patient-in-the-loop framework.
    J Neuroeng Rehabil. 2024;21:23.
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  11. LIN DJ, Backus D, Chakraborty S, Liew SL, et al
    Transforming modeling in neurorehabilitation: clinical insights for personalized rehabilitation.
    J Neuroeng Rehabil. 2024;21:18.
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  12. HWANG GM, Kulwatno J, Cruz TH, Chen D, et al
    NSF DARE-transforming modeling in neurorehabilitation: perspectives and opportunities from US funding agencies.
    J Neuroeng Rehabil. 2024;21:17.
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    January 2024
  13. LIU Q, Liu L, Liu Z, Xu Y, et al
    Reminiscent music therapy combined with robot-assisted rehabilitation for elderly stroke patients: a pilot study.
    J Neuroeng Rehabil. 2024;21:16.
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  14. AGUILERA-RUBIO A, Alguacil-Diego IM, Mallo-Lopez A, Jardon Huete A, et al
    Use of low-cost virtual reality in the treatment of the upper extremity in chronic stroke: a randomized clinical trial.
    J Neuroeng Rehabil. 2024;21:12.
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  15. BRUNNER I, Lundquist CB, Pedersen AR, Spaich EG, et al
    Brain computer interface training with motor imagery and functional electrical stimulation for patients with severe upper limb paresis after stroke: a randomized controlled pilot trial.
    J Neuroeng Rehabil. 2024;21:10.
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  16. KHORASANI A, Hulsizer J, Paul V, Gorski C, et al
    Myoelectric interface for neurorehabilitation conditioning to reduce abnormal leg co-activation after stroke: a pilot study.
    J Neuroeng Rehabil. 2024;21:11.
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  17. MEYERS EC, Gabrieli D, Tacca N, Wengerd L, et al
    Decoding hand and wrist movement intention from chronic stroke survivors with hemiparesis using a user-friendly, wearable EMG-based neural interface.
    J Neuroeng Rehabil. 2024;21:7.
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  18. HSU HY, Koh CL, Yang KC, Lin YC, et al
    Effects of an assist-as-needed equipped Tenodesis-Induced-Grip Exoskeleton Robot (TIGER) on upper limb function in patients with chronic stroke.
    J Neuroeng Rehabil. 2024;21:5.
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  19. VIMOLRATANA O, Aneksan B, Siripornpanich V, Hiengkaew V, et al
    Effects of anodal tDCS on resting state eeg power and motor function in acute stroke: a randomized controlled trial.
    J Neuroeng Rehabil. 2024;21:6.
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  20. LORENZ EA, Su X, Skjaeret-Maroni N
    A review of combined functional neuroimaging and motion capture for motor rehabilitation.
    J Neuroeng Rehabil. 2024;21:3.
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    December 2023
  21. JOURDAN C, Pradalier F, Chalard K, Ascher M, et al
    Body-weight support gait training in neurological intensive care: safety, feasibility, and delays before walking with or without suspension.
    J Neuroeng Rehabil. 2023;20:167.
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  22. SHIH PC, Steele CJ, Hoepfel D, Muffel T, et al
    The impact of lesion side on bilateral upper limb coordination after stroke.
    J Neuroeng Rehabil. 2023;20:166.
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  23. GOMEZ-GARCIA N, Alvarez-Barrio L, Leiros-Rodriguez R, Soto-Rodriguez A, et al
    Transcranial direct current stimulation for post-stroke dysphagia: a meta-analysis.
    J Neuroeng Rehabil. 2023;20:165.
    >> Share

  24. KANADE-MEHTA P, Bengtson M, Stoeckmann T, McGuire J, et al
    Spatial mapping of posture-dependent resistance to passive displacement of the hypertonic arm post-stroke.
    J Neuroeng Rehabil. 2023;20:163.
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    November 2023
  25. PAINTER DR, Norwood MF, Marsh CH, Hine T, et al
    Immersive virtual reality gameplay detects visuospatial atypicality, including unilateral spatial neglect, following brain injury: a pilot study.
    J Neuroeng Rehabil. 2023;20:161.
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  26. TANAMACHI K, Kuwahara W, Okawada M, Sasaki S, et al
    Relationship between resting-state functional connectivity and change in motor function after motor imagery intervention in patients with stroke: a scoping review.
    J Neuroeng Rehabil. 2023;20:159.
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  27. CANNY E, Vansteensel MJ, van der Salm SMA, Muller-Putz GR, et al
    Boosting brain-computer interfaces with functional electrical stimulation: potential applications in people with locked-in syndrome.
    J Neuroeng Rehabil. 2023;20:157.
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  28. LI W, Li C, Liu A, Lin PJ, et al
    Lesion-specific cortical activation following sensory stimulation in patients with subacute stroke.
    J Neuroeng Rehabil. 2023;20:155.
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  29. POTTS CA, Kantak SS
    Post-stroke deficits in the anticipatory control and bimanual coordination during naturalistic cooperative bimanual action.
    J Neuroeng Rehabil. 2023;20:153.
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  30. BHAT SG, Shin AY, Kaufman KR
    Upper extremity asymmetry due to nerve injuries or central neurologic conditions: a scoping review.
    J Neuroeng Rehabil. 2023;20:151.
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  31. MAHMOUD W, Hultborn H, Zuluaga J, Zrenner C, et al
    Testing spasticity mechanisms in chronic stroke before and after intervention with contralesional motor cortex 1 Hz rTMS and physiotherapy.
    J Neuroeng Rehabil. 2023;20:150.
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  32. PORCIUNCULA F, Arumukhom Revi D, Baker TC, Sloutsky R, et al
    Effects of high-intensity gait training with and without soft robotic exosuits in people post-stroke: a development-of-concept pilot crossover trial.
    J Neuroeng Rehabil. 2023;20:148.
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  33. DEMERS M, Cain A, Bishop L, Gunby T, et al
    Understanding stroke survivors' preferences regarding wearable sensor feedback on functional movement: a mixed-methods study.
    J Neuroeng Rehabil. 2023;20:146.
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    October 2023
  34. TABUCHI G, Furui A, Hama S, Yanagawa A, et al
    Motor-cognitive functions required for driving in post-stroke individuals identified via machine-learning analysis.
    J Neuroeng Rehabil. 2023;20:139.
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  35. PARK K, Ritsma BR, Dukelow SP, Scott SH, et al
    A robot-based interception task to quantify upper limb impairments in proprioceptive and visual feedback after stroke.
    J Neuroeng Rehabil. 2023;20:137.
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  36. TALATY M, Esquenazi A
    Feasibility and outcomes of supplemental gait training by robotic and conventional means in acute stroke rehabilitation.
    J Neuroeng Rehabil. 2023;20:134.
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    September 2023
  37. DE VRIES EA, Heijenbrok-Kal MH, van Kooten F, Giurgiu M, et al
    Unraveling the interplay between daily life fatigue and physical activity after subarachnoid hemorrhage: an ecological momentary assessment and accelerometry study.
    J Neuroeng Rehabil. 2023;20:127.
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  38. KIM S, Shin Y, Jeong Y, Na S, et al
    Correction: Autonomy support encourages use of more-afected arm post-stroke.
    J Neuroeng Rehabil. 2023;20:126.
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  39. DE KEERSMAECKER E, Van Bladel A, Zaccardi S, Lefeber N, et al
    Virtual reality-enhanced walking in people post-stroke: effect of optic flow speed and level of immersion on the gait biomechanics.
    J Neuroeng Rehabil. 2023;20:124.
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  40. LIM DY, Lai HS, Yeow RC
    A bidirectional fabric-based soft robotic glove for hand function assistance in patients with chronic stroke.
    J Neuroeng Rehabil. 2023;20:120.
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  41. KIM S, Shin Y, Jeong Y, Na S, et al
    Autonomy support encourages use of more-affected arm post-stroke.
    J Neuroeng Rehabil. 2023;20:116.
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  42. AUSTIN DS, Dixon MJ, Tulimieri DT, Cashaback JGA, et al
    Validating the measurement of upper limb sensorimotor behavior utilizing a tablet in neurologically intact controls and individuals with chronic stroke.
    J Neuroeng Rehabil. 2023;20:114.
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  43. SLOOT LH, Baker LM, Bae J, Porciuncula F, et al
    Effects of a soft robotic exosuit on the quality and speed of overground walking depends on walking ability after stroke.
    J Neuroeng Rehabil. 2023;20:113.
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    August 2023
  44. SMITH DB, Scott SH, Semrau JA, Dukelow SP, et al
    Impairments of the ipsilesional upper-extremity in the first 6-months post-stroke.
    J Neuroeng Rehabil. 2023;20:106.
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  45. DE CRIGNIS AC, Ruhnau ST, Hosl M, Lefint J, et al
    Robotic arm training in neurorehabilitation enhanced by augmented reality - a usability and feasibility study.
    J Neuroeng Rehabil. 2023;20:105.
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  46. KHANTAN M, Avery M, Aung PT, Zarin RM, et al
    The NuroSleeve, a user-centered 3D printed hybrid orthosis for individuals with upper extremity impairment.
    J Neuroeng Rehabil. 2023;20:103.
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  47. BAI Z, Zhang JJ, Fong KNK
    Intracortical and intercortical networks in patients after stroke: a concurrent TMS-EEG study.
    J Neuroeng Rehabil. 2023;20:100.
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    July 2023
  48. YOUNG R, Sage K, Broom D, Hext A, et al
    Evaluating the usability of a co-designed power assisted exercise graphical user interface for people with stroke.
    J Neuroeng Rehabil. 2023;20:95.
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  49. TEREMETZ M, Hamdoun S, Colle F, Gerardin E, et al
    Efficacy of interactive manual dexterity training after stroke: a pilot single-blinded randomized controlled trial.
    J Neuroeng Rehabil. 2023;20:93.
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    June 2023
  50. SCHWEIGHOFER N, Ye D, Luo H, D'Argenio DZ, et al
    Long-term forecasting of a motor outcome following rehabilitation in chronic stroke via a hierarchical bayesian dynamic model.
    J Neuroeng Rehabil. 2023;20:83.
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  51. YANG CL, Chui R, Mortenson WB, Servati P, et al
    Perspectives of users for a future interactive wearable system for upper extremity rehabilitation following stroke: a qualitative study.
    J Neuroeng Rehabil. 2023;20:77.
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  52. YAMAMOTO N, Matsumoto T, Sudo T, Miyashita M, et al
    Quantitative measurement of finger usage in stroke hemiplegia using ring-shaped wearable devices.
    J Neuroeng Rehabil. 2023;20:73.
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    May 2023
  53. MOON JH, Kim J, Hwang Y, Jang S, et al
    Novel evaluation of upper-limb motor performance after stroke based on normal reaching movement model.
    J Neuroeng Rehabil. 2023;20:66.
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  54. VAN DE RUIT M, van der Velden LL, Onneweer B, Benner JL, et al
    System identification: a feasible, reliable and valid way to quantify upper limb motor impairments.
    J Neuroeng Rehabil. 2023;20:67.
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  55. DEMCHENKO I, Desai N, Iwasa SN, Gholamali Nezhad F, et al
    Manipulating facial musculature with functional electrical stimulation as an intervention for major depressive disorder: a focused search of literature for a proposal.
    J Neuroeng Rehabil. 2023;20:64.
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  56. LUO Z, Lim AE, Durairaj P, Tan KK, et al
    Development of a compensation-aware virtual rehabilitation system for upper extremity rehabilitation in community-dwelling older adults with stroke.
    J Neuroeng Rehabil. 2023;20:56.
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    April 2023
  57. WERNER C, Gonel M, Lerch I, Curt A, et al
    Data-driven characterization of walking after a spinal cord injury using inertial sensors.
    J Neuroeng Rehabil. 2023;20:55.
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  58. MIYAGAWA D, Matsushima A, Maruyama Y, Mizukami N, et al
    Gait training with a wearable powered robot during stroke rehabilitation: a randomized parallel-group trial.
    J Neuroeng Rehabil. 2023;20:54.
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  59. DUSFOUR G, Mottet D, Muthalib M, Laffont I, et al
    Comparison of wrist actimetry variables of paretic upper limb use in post stroke patients for ecological monitoring.
    J Neuroeng Rehabil. 2023;20:52.
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  60. CUMPLIDO-TRASMONTE C, Molina-Rueda F, Puyuelo-Quintana G, Plaza-Flores A, et al
    Satisfaction analysis of overground gait exoskeletons in people with neurological pathology. a systematic review.
    J Neuroeng Rehabil. 2023;20:47.
    >> Share

  61. RODRIGUEZ-HERNANDEZ M, Polonio-Lopez B, Corregidor-Sanchez AI, Martin-Conty JL, et al
    Can specific virtual reality combined with conventional rehabilitation improve poststroke hand motor function? A randomized clinical trial.
    J Neuroeng Rehabil. 2023;20:38.
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    March 2023
  62. SANTUCCI V, Alam Z, Liu J, Spencer J, et al
    Immediate improvements in post-stroke gait biomechanics are induced with both real-time limb position and propulsive force biofeedback.
    J Neuroeng Rehabil. 2023;20:37.
    >> Share

  63. PEREZ-MARCOS D, Ronchi R, Giroux A, Brenet F, et al
    An immersive virtual reality system for ecological assessment of peripersonal and extrapersonal unilateral spatial neglect.
    J Neuroeng Rehabil. 2023;20:33.
    >> Share

  64. CHANG JL, Chen HJ, Chen PY, Chou LW, et al
    Validating stroke-induced bilateral ankle coordination deficits using bilateral ankle measure relationship with motor functions in lower limbs.
    J Neuroeng Rehabil. 2023;20:32.
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    February 2023
  65. HSU SP, Lu CF, Lin BF, Tang CW, et al
    Effects of bihemispheric transcranial direct current stimulation on motor recovery in subacute stroke patients: a double-blind, randomized sham-controlled trial.
    J Neuroeng Rehabil. 2023;20:27.
    >> Share

  66. CHEN YW, Lin KC, Li YC, Lin CJ, et al
    Predicting patient-reported outcome of activities of daily living in stroke rehabilitation: a machine learning study.
    J Neuroeng Rehabil. 2023;20:25.
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  67. BARTH J, Lohse KR, Bland MD, Lang CE, et al
    Predicting later categories of upper limb activity from earlier clinical assessments following stroke: an exploratory analysis.
    J Neuroeng Rehabil. 2023;20:24.
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  68. DE MIGUEL-FERNANDEZ J, Lobo-Prat J, Prinsen E, Font-Llagunes JM, et al
    Control strategies used in lower limb exoskeletons for gait rehabilitation after brain injury: a systematic review and analysis of clinical effectiveness.
    J Neuroeng Rehabil. 2023;20:23.
    >> Share

  69. MAURA RM, Rueda Parra S, Stevens RE, Weeks DL, et al
    Literature review of stroke assessment for upper-extremity physical function via EEG, EMG, kinematic, and kinetic measurements and their reliability.
    J Neuroeng Rehabil. 2023;20:21.
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  70. VAN'T VELD RC, Flux E, van Oorschot W, Schouten AC, et al
    Examining the role of intrinsic and reflexive contributions to ankle joint hyper-resistance treated with botulinum toxin-A.
    J Neuroeng Rehabil. 2023;20:19.
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    January 2023
  71. HOSSAIN D, Scott SH, Cluff T, Dukelow SP, et al
    The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke.
    J Neuroeng Rehabil. 2023;20:15.
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  72. KETTLETY SA, Finley JM, Reisman DS, Schweighofer N, et al
    Speed-dependent biomechanical changes vary across individual gait metrics post-stroke relative to neurotypical adults.
    J Neuroeng Rehabil. 2023;20:14.
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  73. SZETO SG, Wan H, Alavinia M, Dukelow S, et al
    Effect of mobile application types on stroke rehabilitation: a systematic review.
    J Neuroeng Rehabil. 2023;20:12.
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  74. HUBER J, Elwert N, Powell ES, Westgate PM, et al
    Effects of dynamic body weight support on functional independence measures in acute ischemic stroke: a retrospective cohort study.
    J Neuroeng Rehabil. 2023;20:6.
    >> Share

  75. PICHIORRI F, Toppi J, de Seta V, Colamarino E, et al
    Exploring high-density corticomuscular networks after stroke to enable a hybrid Brain-Computer Interface for hand motor rehabilitation.
    J Neuroeng Rehabil. 2023;20:5.
    >> Share

    December 2022
  76. YAMAMOTO R, Sasaki S, Kuwahara W, Kawakami M, et al
    Effect of exoskeleton-assisted Body Weight-Supported Treadmill Training on gait function for patients with chronic stroke: a scoping review.
    J Neuroeng Rehabil. 2022;19:143.
    >> Share

  77. ELANGO S, Francis AJA, Chakravarthy VS
    Interaction of network and rehabilitation therapy parameters in defining recovery after stroke in a Bilateral Neural Network.
    J Neuroeng Rehabil. 2022;19:142.
    >> Share

  78. GUO X, Wallace R, Tan Y, Oetomo D, et al
    Technology-assisted assessment of spasticity: a systematic review.
    J Neuroeng Rehabil. 2022;19:138.
    >> Share

  79. WENK N, Buetler KA, Penalver-Andres J, Muri RM, et al
    Naturalistic visualization of reaching movements using head-mounted displays improves movement quality compared to conventional computer screens and proves high usability.
    J Neuroeng Rehabil. 2022;19:137.
    >> Share

  80. YANG ZQ, Du D, Wei XY, Tong RK, et al
    Augmented reality for stroke rehabilitation during COVID-19.
    J Neuroeng Rehabil. 2022;19:136.
    >> Share

  81. BURTON Q, Lejeune T, Dehem S, Lebrun N, et al
    Performing a shortened version of the Action Research Arm Test in immersive virtual reality to assess post-stroke upper limb activity.
    J Neuroeng Rehabil. 2022;19:133.
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    November 2022
  82. JERVIS-RADEMEYER H, Ong K, Djuric A, Munce S, et al
    Therapists' perspectives on using brain-computer interface-triggered functional electrical stimulation therapy for individuals living with upper extremity paralysis: a qualitative case series study.
    J Neuroeng Rehabil. 2022;19:127.
    >> Share

  83. KUNKEL GENANNT BODE L, Schulte AS, Hauptmann B, Munte TF, et al
    Gaze-contingent display technology can help to reduce the ipsilesional attention bias in hemispatial neglect following stroke.
    J Neuroeng Rehabil. 2022;19:125.
    >> Share

    October 2022
  84. MILLER A, Collier Z, Reisman DS
    Beyond steps per day: other measures of real-world walking after stroke related to cardiovascular risk.
    J Neuroeng Rehabil. 2022;19:111.
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  85. KAWAMURA K, Etoh S, Noma T, Hayashi R, et al
    Quantitative measurement of resistance force and subsequent attenuation during passive isokinetic extension of the wrist in patients with mild to moderate spasticity after stroke.
    J Neuroeng Rehabil. 2022;19:110.
    >> Share

  86. LORA-MILLAN JS, Sanchez-Cuesta FJ, Romero JP, Moreno JC, et al
    A unilateral robotic knee exoskeleton to assess the role of natural gait assistance in hemiparetic patients.
    J Neuroeng Rehabil. 2022;19:109.
    >> Share

  87. HEINRICH C, Morkisch N, Langlotz T, Regenbrecht H, et al
    Feasibility and psychophysical effects of immersive virtual reality-based mirror therapy.
    J Neuroeng Rehabil. 2022;19:107.
    >> Share

    September 2022
  88. BEHBOODI A, Lee WA, Hinchberger VS, Damiano DL, et al
    Determining optimal mobile neurofeedback methods for motor neurorehabilitation in children and adults with non-progressive neurological disorders: a scoping review.
    J Neuroeng Rehabil. 2022;19:104.
    >> Share

  89. LONGATELLI V, Torricelli D, Tornero J, Pedrocchi A, et al
    A unified scheme for the benchmarking of upper limb functions in neurological disorders.
    J Neuroeng Rehabil. 2022;19:102.
    >> Share

  90. LIN YN, Huang SW, Kuan YC, Chen HC, et al
    Hybrid robot-assisted gait training for motor function in subacute stroke: a single-blind randomized controlled trial.
    J Neuroeng Rehabil. 2022;19:99.
    >> Share

  91. CAMPAGNINI S, Liuzzi P, Mannini A, Basagni B, et al
    Cross-validation of predictive models for functional recovery after post-stroke rehabilitation.
    J Neuroeng Rehabil. 2022;19:96.
    >> Share

    August 2022
  92. LEONG SC, Tang YM, Toh FM, Fong KNK, et al
    Examining the effectiveness of virtual, augmented, and mixed reality (VAMR) therapy for upper limb recovery and activities of daily living in stroke patients: a systematic review and meta-analysis.
    J Neuroeng Rehabil. 2022;19:93.
    >> Share

  93. FIRWANA YMS, Zolkefley MKI, Mohamed Hatta HZ, Rowbin C, et al
    Regional cerebral blood perfusion changes in chronic stroke survivors as potential brain correlates of the functional outcome following gamified home-based rehabilitation (IntelliRehab)-a pilot study.
    J Neuroeng Rehabil. 2022;19:94.
    >> Share

  94. VELDEMA J, Gharabaghi A
    Non-invasive brain stimulation for improving gait, balance, and lower limbs motor function in stroke.
    J Neuroeng Rehabil. 2022;19:84.
    >> Share

    July 2022
  95. ZHANG L, Jia G, Ma J, Wang S, et al
    Short and long-term effects of robot-assisted therapy on upper limb motor function and activity of daily living in patients post-stroke: a meta-analysis of randomized controlled trials.
    J Neuroeng Rehabil. 2022;19:76.
    >> Share

  96. VAN DER VELDEN LL, Onneweer B, Haarman CJW, Benner JL, et al
    Development of a single device to quantify motor impairments of the elbow: proof of concept.
    J Neuroeng Rehabil. 2022;19:77.
    >> Share

  97. LIANG HW, Tai TL, Li YH, Chen YC, et al
    Application of a virtual reality tracker-based system to measure seated postural stability in stroke patients.
    J Neuroeng Rehabil. 2022;19:71.
    >> Share

  98. SEO G, Kishta A, Mugler E, Slutzky MW, et al
    Myoelectric interface training enables targeted reduction in abnormal muscle co-activation.
    J Neuroeng Rehabil. 2022;19:67.
    >> Share

    June 2022
  99. BOTONIS OK, Harari Y, Embry KR, Mummidisetty CK, et al
    Wearable airbag technology and machine learned models to mitigate falls after stroke.
    J Neuroeng Rehabil. 2022;19:60.
    >> Share

  100. MAO YR, Zhao JL, Bian MJ, Lo WLA, et al
    Spatiotemporal, kinematic and kinetic assessment of the effects of a foot drop stimulator for home-based rehabilitation of patients with chronic stroke: a randomized clinical trial.
    J Neuroeng Rehabil. 2022;19:56.
    >> Share

  101. CAMPAGNINI S, Liuzzi P, Mannini A, Riener R, et al
    Effects of control strategies on gait in robot-assisted post-stroke lower limb rehabilitation: a systematic review.
    J Neuroeng Rehabil. 2022;19:52.
    >> Share

  102. BROUGH LG, Kautz SA, Neptune RR
    Muscle contributions to pre-swing biomechanical tasks influence swing leg mechanics in individuals post-stroke during walking.
    J Neuroeng Rehabil. 2022;19:55.
    >> Share

  103. CAMPAGNINI S, Arienti C, Patrini M, Liuzzi P, et al
    Machine learning methods for functional recovery prediction and prognosis in post-stroke rehabilitation: a systematic review.
    J Neuroeng Rehabil. 2022;19:54.
    >> Share

  104. SHIN SY, Hohl K, Giffhorn M, Awad LN, et al
    Soft robotic exosuit augmented high intensity gait training on stroke survivors: a pilot study.
    J Neuroeng Rehabil. 2022;19:51.
    >> Share

    May 2022
  105. YAMAMOTO S, Motojima N, Kobayashi Y, Osada Y, et al
    Ankle-foot orthosis with an oil damper versus nonarticulated ankle-foot orthosis in the gait of patients with subacute stroke: a randomized controlled trial.
    J Neuroeng Rehabil. 2022;19:50.
    >> Share

  106. DUFF SV, Miller A, Quinn L, Youdan G Jr, et al
    Quantifying intra- and interlimb use during unimanual and bimanual tasks in persons with hemiparesis post-stroke.
    J Neuroeng Rehabil. 2022;19:44.
    >> Share

    March 2022
  107. RABAH A, Le Boterff Q, Carment L, Bendjemaa N, et al
    A novel tablet-based application for assessment of manual dexterity and its components: a reliability and validity study in healthy subjects.
    J Neuroeng Rehabil. 2022;19:35.
    >> Share

  108. GERARDIN E, Bontemps D, Babuin NT, Herman B, et al
    Bimanual motor skill learning with robotics in chronic stroke: comparison between minimally impaired and moderately impaired patients, and healthy individuals.
    J Neuroeng Rehabil. 2022;19:28.
    >> Share

    February 2022
  109. BAI Z, Zhang J, Fong KNK
    Effects of transcranial magnetic stimulation in modulating cortical excitability in patients with stroke: a systematic review and meta-analysis.
    J Neuroeng Rehabil. 2022;19:24.
    >> Share

  110. VAN DER VELDEN LL, de Koff MAC, Ribbers GM, Selles RW, et al
    The diagnostic levels of evidence of instrumented devices for measuring viscoelastic joint properties and spasticity; a systematic review.
    J Neuroeng Rehabil. 2022;19:16.
    >> Share

  111. FRISOLI A, Barsotti M, Sotgiu E, Lamola G, et al
    A randomized clinical control study on the efficacy of three-dimensional upper limb robotic exoskeleton training in chronic stroke.
    J Neuroeng Rehabil. 2022;19:14.
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    January 2022
  112. INOUE S, Otaka Y, Kumagai M, Sugasawa M, et al
    Effects of Balance Exercise Assist Robot training for patients with hemiparetic stroke: a randomized controlled trial.
    J Neuroeng Rehabil. 2022;19:12.
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  113. EVERARD G, Otmane-Tolba Y, Rosselli Z, Pellissier T, et al
    Concurrent validity of an immersive virtual reality version of the Box and Block Test to assess manual dexterity among patients with stroke.
    J Neuroeng Rehabil. 2022;19:7.
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  114. CHEN YW, Chiang WC, Chang CL, Lo SM, et al
    Comparative effects of EMG-driven robot-assisted therapy versus task-oriented training on motor and daily function in patients with stroke: a randomized cross-over trial.
    J Neuroeng Rehabil. 2022;19:6.
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  115. EL NAHAS N, Kenawy FF, Abd Eldayem EH, Roushdy TM, et al
    Peripheral magnetic theta burst stimulation to muscles can effectively reduce spasticity: a randomized controlled trial.
    J Neuroeng Rehabil. 2022;19:5.
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  116. SCHWARZ A, Bhagubai MMC, Nies SHG, Held JPO, et al
    Characterization of stroke-related upper limb motor impairments across various upper limb activities by use of kinematic core set measures.
    J Neuroeng Rehabil. 2022;19:2.
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    December 2021
  117. BALLESTER BR, Antenucci F, Maier M, Coolen ACC, et al
    Estimating upper-extremity function from kinematics in stroke patients following goal-oriented computer-based training.
    J Neuroeng Rehabil. 2021;18:186.
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  118. SON C, Lee A, Lee J, Kim D, et al
    The effect of pelvic movements of a gait training system for stroke patients: a single blind, randomized, parallel study.
    J Neuroeng Rehabil. 2021;18:185.
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  119. HOLLIS A, Cole L, Zewdie E, Metzler MJ, et al
    Bilateral actigraphic quantification of upper extremity movement in hemiparetic children with perinatal stroke: a case control study.
    J Neuroeng Rehabil. 2021;18:172.
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  120. BRAAKHUIS HEM, Berger MAM, Regterschot RGRH, van Wegen EEH, et al
    Physical activity dimensions after stroke: patterns and relation with lower limb motor function.
    J Neuroeng Rehabil. 2021;18:171.
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    November 2021
  121. CHA K, Wang J, Li Y, Shen L, et al
    A novel upper-limb tracking system in a virtual environment for stroke rehabilitation.
    J Neuroeng Rehabil. 2021;18:166.
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  122. WILSON PH, Rogers JM, Vogel K, Steenbergen B, et al
    Home-based (virtual) rehabilitation improves motor and cognitive function for stroke patients: a randomized controlled trial of the Elements (EDNA-22) system.
    J Neuroeng Rehabil. 2021;18:165.
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  123. PRANGE-LASONDER GB, Alt Murphy M, Lamers I, Hughes AM, et al
    European evidence-based recommendations for clinical assessment of upper limb in neurorehabilitation (CAULIN): data synthesis from systematic reviews, clinical practice guidelines and expert consensus.
    J Neuroeng Rehabil. 2021;18:162.
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  124. VELDEMA J, Nowak DA, Gharabaghi A
    Resting motor threshold in the course of hand motor recovery after stroke: a systematic review.
    J Neuroeng Rehabil. 2021;18:158.
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    October 2021
  125. LE FRANC S, Bonan I, Fleury M, Butet S, et al
    Visual feedback improves movement illusions induced by tendon vibration after chronic stroke.
    J Neuroeng Rehabil. 2021;18:156.
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  126. HANDELZALTS S, Koren Y, Goldhamer N, Yeshurun-Tayer A, et al
    Insights into motor performance deficits after stroke: an automated and refined analysis of the lower-extremity motor coordination test (LEMOCOT).
    J Neuroeng Rehabil. 2021;18:155.
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  127. MOHAMED REFAI MI, Saes M, Scheltinga BL, van Kordelaar J, et al
    Smoothness metrics for reaching performance after stroke. Part 1: which one to choose?
    J Neuroeng Rehabil. 2021;18:154.
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  128. JUNATA M, Cheng KC, Man HS, Lai CW, et al
    Kinect-based rapid movement training to improve balance recovery for stroke fall prevention: a randomized controlled trial.
    J Neuroeng Rehabil. 2021;18:150.
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    September 2021
  129. COMINO-SUAREZ N, Moreno JC, Gomez-Soriano J, Megia-Garcia A, et al
    Transcranial direct current stimulation combined with robotic therapy for upper and lower limb function after stroke: a systematic review and meta-analysis of randomized control trials.
    J Neuroeng Rehabil. 2021;18:148.
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  130. SAES M, Mohamed Refai MI, van Kordelaar J, Scheltinga BL, et al
    Smoothness metric during reach-to-grasp after stroke: part 2. longitudinal association with motor impairment.
    J Neuroeng Rehabil. 2021;18:144.
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  131. ROZEVINK SG, van der Sluis CK, Hijmans JM
    HoMEcare aRm rehabiLItatioN (MERLIN): preliminary evidence of long term effects of telerehabilitation using an unactuated training device on upper limb function after stroke.
    J Neuroeng Rehabil. 2021;18:141.
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  132. NAM C, Zhang B, Chow T, Ye F, et al
    Home-based self-help telerehabilitation of the upper limb assisted by an electromyography-driven wrist/hand exoneuromusculoskeleton after stroke.
    J Neuroeng Rehabil. 2021;18:137.
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  133. SORRENTO GU, Archambault PS, Fung J
    Walking with robot-generated haptic forces in a virtual environment: a new approach to analyze lower limb coordination.
    J Neuroeng Rehabil. 2021;18:136.
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  134. KOPKE JV, Hargrove LJ, Ellis MD
    Coupling of shoulder joint torques in individuals with chronic stroke mirrors controls, with additional non-load-dependent negative effects in a combined-torque task.
    J Neuroeng Rehabil. 2021;18:134.
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    August 2021
  135. ALBANESE GA, Taglione E, Gasparini C, Grandi S, et al
    Efficacy of wrist robot-aided orthopedic rehabilitation: a randomized controlled trial.
    J Neuroeng Rehabil. 2021;18:130.
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  136. HOHLER C, Rasamoel ND, Rohrbach N, Hansen JP, et al
    The impact of visuospatial perception on distance judgment and depth perception in an Augmented Reality environment in patients after stroke: an exploratory study.
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    July 2021
  137. THIJS L, Voets E, Wiskerke E, Nauwelaerts T, et al
    Technology-supported sitting balance therapy versus usual care in the chronic stage after stroke: a pilot randomized controlled trial.
    J Neuroeng Rehabil. 2021;18:120.
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  138. ZBYTNIEWSKA M, Kanzler CM, Jordan L, Salzmann C, et al
    Reliable and valid robot-assisted assessments of hand proprioceptive, motor and sensorimotor impairments after stroke.
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  139. PARK JH, Shin JH, Lee H, Roh J, et al
    Alterations in intermuscular coordination underlying isokinetic exercise after a stroke and their implications on neurorehabilitation.
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    June 2021
  140. CHEN SC, Yang LY, Adeel M, Lai CH, et al
    Transcranial electrostimulation with special waveforms enhances upper-limb motor function in patients with chronic stroke: a pilot randomized controlled trial.
    J Neuroeng Rehabil. 2021;18:106.
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  141. FLURY D, Masse F, Paraschiv-Ionescu A, Aminian K, et al
    Clinical value of assessing motor performance in postacute stroke patients.
    J Neuroeng Rehabil. 2021;18:102.
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  142. DOUMAS I, Everard G, Dehem S, Lejeune T, et al
    Serious games for upper limb rehabilitation after stroke: a meta-analysis.
    J Neuroeng Rehabil. 2021;18:100.
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  143. LINGO VANGILDER J, Hooyman A, Bosch PR, Schaefer SY, et al
    Generalizing the predictive relationship between 1-month motor skill retention and Rey-Osterrieth Delayed Recall scores from nondemented older adults to individuals with chronic stroke: a short report.
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    May 2021
  144. CHEN YH, Chen CL, Huang YZ, Chen HC, et al
    Augmented efficacy of intermittent theta burst stimulation on the virtual reality-based cycling training for upper limb function in patients with stroke: a double-blinded, randomized controlled trial.
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  145. ABBASI A, Danielsen NP, Leung J, Muhammad AKMG, et al
    Epidural cerebellar stimulation drives widespread neural synchrony in the intact and stroke perilesional cortex.
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  146. LACKRITZ H, Parmet Y, Frenkel-Toledo S, Banina MC, et al
    Effect of post-stroke spasticity on voluntary movement of the upper limb.
    J Neuroeng Rehabil. 2021;18:81.
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  147. KUCZYNSKI AM, Kirton A, Semrau JA, Dukelow SP, et al
    Relative independence of upper limb position sense and reaching in children with hemiparetic perinatal stroke.
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  148. YEH IL, Holst-Wolf J, Elangovan N, Cuppone AV, et al
    Effects of a robot-aided somatosensory training on proprioception and motor function in stroke survivors.
    J Neuroeng Rehabil. 2021;18:77.
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  149. SINGH N, Saini M, Kumar N, Srivastava MVP, et al
    Evidence of neuroplasticity with robotic hand exoskeleton for post-stroke rehabilitation: a randomized controlled trial.
    J Neuroeng Rehabil. 2021;18:76.
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  150. LIANG T, Zhang Q, Liu X, Dong B, et al
    Identifying bidirectional total and non-linear information flow in functional corticomuscular coupling during a dorsiflexion task: a pilot study.
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    April 2021
  151. CHEN SC, Lin CH, Su SW, Chang YT, et al
    Feasibility and effect of interactive telerehabilitation on balance in individuals with chronic stroke: a pilot study.
    J Neuroeng Rehabil. 2021;18:71.
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  152. MOLLA-CASANOVA S, Llorens R, Borrego A, Salinas-Martinez B, et al
    Validity, reliability, and sensitivity to motor impairment severity of a multi-touch app designed to assess hand mobility, coordination, and function after stroke.
    J Neuroeng Rehabil. 2021;18:70.
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  153. ALINGH JF, Groen BE, Kamphuis JF, Geurts ACH, et al
    Task-specific training for improving propulsion symmetry and gait speed in people in the chronic phase after stroke: a proof-of-concept study.
    J Neuroeng Rehabil. 2021;18:69.
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  154. PETERS DM, O'Brien ES, Kamrud KE, Roberts SM, et al
    Utilization of wearable technology to assess gait and mobility post-stroke: a systematic review.
    J Neuroeng Rehabil. 2021;18:67.
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  155. NEDERGARD H, Arumugam A, Sandlund M, Brandal A, et al
    Effect of robotic-assisted gait training on objective biomechanical measures of gait in persons post-stroke: a systematic review and meta-analysis.
    J Neuroeng Rehabil. 2021;18:64.
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  156. NOROUZI-GHEIDARI N, Archambault PS, Monte-Silva K, Kairy D, et al
    Feasibility and preliminary efficacy of a combined virtual reality, robotics and electrical stimulation intervention in upper extremity stroke rehabilitation.
    J Neuroeng Rehabil. 2021;18:61.
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  157. PEREIRA F, Bermudez I Badia S, Jorge C, Cameirao MS, et al
    The use of game modes to promote engagement and social involvement in multi-user serious games: a within-person randomized trial with stroke survivors.
    J Neuroeng Rehabil. 2021;18:62.
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  158. OH K, Park J, Jo SH, Hong SJ, et al
    Improved cortical activity and reduced gait asymmetry during poststroke self-paced walking rehabilitation.
    J Neuroeng Rehabil. 2021;18:60.
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  159. SHIN SY, Kim Y, Jayaraman A, Park HS, et al
    Relationship between gait quality measures and modular neuromuscular control parameters in chronic post-stroke individuals.
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    March 2021
  160. DEBLOCK-BELLAMY A, Lamontagne A, McFadyen BJ, Ouellet MC, et al
    Virtual reality-based assessment of cognitive-locomotor interference in healthy young adults.
    J Neuroeng Rehabil. 2021;18:53.
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  161. DONG M, Zhou Y, Li J, Rong X, et al
    State of the art in parallel ankle rehabilitation robot: a systematic review.
    J Neuroeng Rehabil. 2021;18:52.
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  162. REGTERSCHOT GRH, Bussmann JBJ, Fanchamps MHJ, Meskers CGM, et al
    Objectively measured arm use in daily life improves during the first 6 months poststroke: a longitudinal observational cohort study.
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    February 2021
  163. YAO J, Sado T, Wang W, Gao J, et al
    The Kickstart Walk Assist System for improving balance and walking function in stroke survivors: a feasibility study.
    J Neuroeng Rehabil. 2021;18:42.
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  164. NEIBLING BA, Jackson SM, Hayward KS, Barker RN, et al
    Perseverance with technology-facilitated home-based upper limb practice after stroke: a systematic mixed studies review.
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  165. KIM TL, Kim K, Choi C, Lee JY, et al
    FOPR test: a virtual reality-based technique to assess field of perception and field of regard in hemispatial neglect.
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  166. ZHOU S, Huang Y, Jiao J, Hu J, et al
    Impairments of cortico-cortical connectivity in fine tactile sensation after stroke.
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  167. ROMIJNDERS R, Warmerdam E, Hansen C, Welzel J, et al
    Validation of IMU-based gait event detection during curved walking and turning in older adults and Parkinson's Disease patients.
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  168. ALINGH JF, Fleerkotte BM, Groen BE, Rietman JS, et al
    Effect of assist-as-needed robotic gait training on the gait pattern post stroke: a randomized controlled trial.
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    January 2021
  169. YEUNG LF, Lau CCY, Lai CWK, Soo YOY, et al
    Effects of wearable ankle robotics for stair and over-ground training on sub-acute stroke: a randomized controlled trial.
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  170. SOLANKI D, Rezaee Z, Dutta A, Lahiri U, et al
    Investigating the feasibility of cerebellar transcranial direct current stimulation to facilitate post-stroke overground gait performance in chronic stroke: a partial least-squares regression approach.
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  171. KEELING AB, Piitz M, Semrau JA, Hill MD, et al
    Robot enhanced stroke therapy optimizes rehabilitation (RESTORE): a pilot study.
    J Neuroeng Rehabil. 2021;18:10.
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  172. LIM SB, Louie DR, Peters S, Liu-Ambrose T, et al
    Brain activity during real-time walking and with walking interventions after stroke: a systematic review.
    J Neuroeng Rehabil. 2021;18:8.
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  173. LODHA N, Patel P, Shad JM, Casamento-Moran A, et al
    Cognitive and motor deficits contribute to longer braking time in stroke.
    J Neuroeng Rehabil. 2021;18:7.
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  174. SEHLE A, Stuerner J, Hassa T, Spiteri S, et al
    Behavioral and neurophysiological effects of an intensified robot-assisted therapy in subacute stroke: a case control study.
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  175. YANG CL, Gad A, Creath RA, Magder L, et al
    Effects of transcranial direct current stimulation (tDCS) on posture, movement planning, and execution during standing voluntary reach following stroke.
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    October 2020
  176. LEE SH, Lee HJ, Shim Y, Chang WH, et al
    Wearable hip-assist robot modulates cortical activation during gait in stroke patients: a functional near-infrared spectroscopy study.
    J Neuroeng Rehabil. 2020;17:145.
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  177. HSIAO HY, Gray VL, Borrelli J, Rogers MW, et al
    Biomechanical control of paretic lower limb during imposed weight transfer in individuals post-stroke.
    J Neuroeng Rehabil. 2020;17:140.
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  178. AWAD LN, Lewek MD, Kesar TM, Franz JR, et al
    These legs were made for propulsion: advancing the diagnosis and treatment of post-stroke propulsion deficits.
    J Neuroeng Rehabil. 2020;17:139.
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  179. BARTH J, Klaesner JW, Lang CE
    Relationships between accelerometry and general compensatory movements of the upper limb after stroke.
    J Neuroeng Rehabil. 2020;17:138.
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  180. PARK JH, Park G, Kim HY, Lee JY, et al
    A comparison of the effects and usability of two exoskeletal robots with and without robotic actuation for upper extremity rehabilitation among patients with stroke: a single-blinded randomised controlled pilot study.
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  181. LAMBELET C, Temiraliuly D, Siegenthaler M, Wirth M, et al
    Characterization and wearability evaluation of a fully portable wrist exoskeleton for unsupervised training after stroke.
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    September 2020
  182. BRIHMAT N, Loubinoux I, Castel-Lacanal E, Marque P, et al
    Kinematic parameters obtained with the ArmeoSpring for upper-limb assessment after stroke: a reliability and learning effect study for guiding parameter use.
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  183. THAKKAR HK, Liao WW, Wu CY, Hsieh YW, et al
    Predicting clinically significant motor function improvement after contemporary task-oriented interventions using machine learning approaches.
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  184. KANZLER CM, Schwarz A, Held JPO, Luft AR, et al
    Technology-aided assessment of functionally relevant sensorimotor impairments in arm and hand of post-stroke individuals.
    J Neuroeng Rehabil. 2020;17:128.
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  185. VAUGHAN-GRAHAM J, Brooks D, Rose L, Nejat G, et al
    Exoskeleton use in post-stroke gait rehabilitation: a qualitative study of the perspectives of persons post-stroke and physiotherapists.
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  186. GRECHUTA K, Rubio Ballester B, Espin Munne R, Usabiaga Bernal T, et al
    Multisensory cueing facilitates naming in aphasia.
    J Neuroeng Rehabil. 2020;17:122.
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    August 2020
  187. NGUYEN TM, Jackson RW, Aucie Y, de Kam D, et al
    Self-selected step length asymmetry is not explained by energy cost minimization in individuals with chronic stroke.
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  188. AKBAS T, Kim K, Doyle K, Manella K, et al
    Rectus femoris hyperreflexia contributes to Stiff-Knee gait after stroke.
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  189. RANZANI R, Lambercy O, Metzger JC, Califfi A, et al
    Neurocognitive robot-assisted rehabilitation of hand function: a randomized control trial on motor recovery in subacute stroke.
    J Neuroeng Rehabil. 2020;17:115.
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  190. HSU CC, Huang YK, Kang JH, Ko YF, et al
    Novel design for a dynamic ankle foot orthosis with motion feedback used for training in patients with hemiplegic gait: a pilot study.
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  191. MADHAVAN S, Cleland BT, Sivaramakrishnan A, Freels S, et al
    Cortical priming strategies for gait training after stroke: a controlled, stratified trial.
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  192. PALMCRANTZ S, Pennati GV, Bergling H, Borg J, et al
    Feasibility and potential effects of using the electro-dress Mollii on spasticity and functioning in chronic stroke.
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  193. ADANS-DESTER C, Fasoli SE, Fabara E, Menard N, et al
    Can kinematic parameters of 3D reach-to-target movements be used as a proxy for clinical outcome measures in chronic stroke rehabilitation? An exploratory study.
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  194. PADMANABHAN P, Rao KS, Gulhar S, Cherry-Allen KM, et al
    Persons post-stroke improve step length symmetry by walking asymmetrically.
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    July 2020
  195. CHANDRA S, Afsharipour B, Rymer WZ, Suresh NL, et al
    Precise quantification of the time course of voluntary activation capacity following Botulinum toxin injections in the biceps brachii muscles of chronic stroke survivors.
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  196. LIAO WW, Chiang WC, Lin KC, Wu CY, et al
    Timing-dependent effects of transcranial direct current stimulation with mirror therapy on daily function and motor control in chronic stroke: a randomized controlled pilot study.
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  197. HAWE RL, Kuczynski AM, Kirton A, Dukelow SP, et al
    Robotic assessment of rapid motor decision making in children with perinatal stroke.
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  198. ELSNER B, Kugler J, Mehrholz J
    Transcranial direct current stimulation (tDCS) for improving aphasia after stroke: a systematic review with network meta-analysis of randomized controlled trials.
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  199. ZADRAVEC M, Olensek A, Rudolf M, Bizovicar N, et al
    Assessment of dynamic balancing responses following perturbations during slow walking in relation to clinical outcome measures for high-functioning post-stroke subjects.
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    June 2020
  200. MEHRHOLZ J, Pollock A, Pohl M, Kugler J, et al
    Systematic review with network meta-analysis of randomized controlled trials of robotic-assisted arm training for improving activities of daily living and upper limb function after stroke.
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  201. REVI DA, Alvarez AM, Walsh CJ, De Rossi SMM, et al
    Indirect measurement of anterior-posterior ground reaction forces using a minimal set of wearable inertial sensors: from healthy to hemiparetic walking.
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  202. AWAD LN, Esquenazi A, Francisco GE, Nolan KJ, et al
    The ReWalk ReStore soft robotic exosuit: a multi-site clinical trial of the safety, reliability, and feasibility of exosuit-augmented post-stroke gait rehabilitation.
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  203. ESMAEILI V, Juneau A, Dyer JO, Lamontagne A, et al
    Intense and unpredictable perturbations during gait training improve dynamic balance abilities in chronic hemiparetic individuals: a randomized controlled pilot trial.
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  204. FARIA AL, Pinho MS, Bermudez I Badia S
    A comparison of two personalization and adaptive cognitive rehabilitation approaches: a randomized controlled trial with chronic stroke patients.
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  205. YAO X, Cui L, Wang J, Feng W, et al
    Effects of transcranial direct current stimulation with virtual reality on upper limb function in patients with ischemic stroke: a randomized controlled trial.
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  206. HARARI Y, O'Brien MK, Lieber RL, Jayaraman A, et al
    Inpatient stroke rehabilitation: prediction of clinical outcomes using a machine-learning approach.
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    May 2020
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    Transient changes in paretic and non-paretic isometric force control during bimanual submaximal and maximal contractions.
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    April 2020
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    Online compensation detecting for real-time reduction of compensatory motions during reaching: a pilot study with stroke survivors.
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  209. BAI Z, Fong KNK, Zhang JJ, Chan J, et al
    Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis.
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  210. SERREZUELA RR, Quezada MT, Zayas MH, Pedron AM, et al
    Robotic therapy for the hemiplegic shoulder pain: a pilot study.
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    March 2020
  211. MAIER M, Ballester BR, Leiva Banuelos N, Duarte Oller E, et al
    Adaptive conjunctive cognitive training (ACCT) in virtual reality for chronic stroke patients: a randomized controlled pilot trial.
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  212. REICHL S, Weilbach F, Mehrholz J
    Implementation of a gait center training to improve walking ability and vital parameters in inpatient neurological rehabilitation- a cohort study.
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    February 2020
  213. AMBROSINI E, Parati M, Peri E, De Marchis C, et al
    Changes in leg cycling muscle synergies after training augmented by functional electrical stimulation in subacute stroke survivors: a pilot study.
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  214. YURKEWICH A, Kozak IJ, Hebert D, Wang RH, et al
    Hand Extension Robot Orthosis (HERO) Grip Glove: enabling independence amongst persons with severe hand impairments after stroke.
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  215. HAWE RL, Kuczynski AM, Kirton A, Dukelow SP, et al
    Assessment of bilateral motor skills and visuospatial attention in children with perinatal stroke using a robotic object hitting task.
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  216. SHIN SY, Lee RK, Spicer P, Sulzer J, et al
    Quantifying dosage of physical therapy using lower body kinematics: a longitudinal pilot study on early post-stroke individuals.
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    January 2020
  217. CARPINELLA I, Lencioni T, Bowman T, Bertoni R, et al
    Effects of robot therapy on upper body kinematics and arm function in persons post stroke: a pilot randomized controlled trial.
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  218. LIN J, Hu G, Ran J, Chen L, et al
    Effects of bodyweight support and guidance force on muscle activation during Locomat walking in people with stroke: a cross-sectional study.
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  219. GERMANOTTA M, Gower V, Papadopoulou D, Cruciani A, et al
    Reliability, validity and discriminant ability of a robotic device for finger training in patients with subacute stroke.
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