This paper is in the following e-collection/theme issue:

RCTs - Protocols/Proposals (funded, already peer-reviewed, eHealth) (353) Emerging Technologies for Rehabilitation (261) Cognitive and Neurorehabilitation (262)

Published on in Vol 7, No 12 (2018): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12339, first published .
Evaluating the Effectiveness and Safety of the Electroencephalogram-Based Brain-Machine Interface Rehabilitation System for Patients With Severe Hemiparetic Stroke: Protocol for a Randomized Controlled Trial (BEST-BRAIN Trial)

Evaluating the Effectiveness and Safety of the Electroencephalogram-Based Brain-Machine Interface Rehabilitation System for Patients With Severe Hemiparetic Stroke: Protocol for a Randomized Controlled Trial (BEST-BRAIN Trial)

Evaluating the Effectiveness and Safety of the Electroencephalogram-Based Brain-Machine Interface Rehabilitation System for Patients With Severe Hemiparetic Stroke: Protocol for a Randomized Controlled Trial (BEST-BRAIN Trial)

Authors of this article:

Katsuhiro Mizuno1 Author Orcid Image ;   Takayuki Abe2, 3 Author Orcid Image ;   Junichi Ushiba4 Author Orcid Image ;   Michiyuki Kawakami1 Author Orcid Image ;   Tomomi Ohwa5 Author Orcid Image ;   Kazuto Hagimura5 Author Orcid Image ;   Miho Ogura1 Author Orcid Image ;   Kohei Okuyama1 Author Orcid Image ;   Toshiyuki Fujiwara6 Author Orcid Image ;   Meigen Liu1 Author Orcid Image
Article Authors Cited by (9) Tweetations (1) Metrics

Journals

  1. Hijikata N, Kawakami M, Ishii R, Tsuzuki K, Nakamura T, Okuyama K, Liu M. Item Difficulty of Fugl-Meyer Assessment for Upper Extremity in Persons With Chronic Stroke With Moderate-to-Severe Upper Limb Impairment. Frontiers in Neurology 2020;11 View
  2. Suda M, Kawakami M, Okuyama K, Ishii R, Oshima O, Hijikata N, Nakamura T, Oka A, Kondo K, Liu M. Validity and Reliability of the Semmes-Weinstein Monofilament Test and the Thumb Localizing Test in Patients With Stroke. Frontiers in Neurology 2021;11 View
  3. Sasaki K, Fujishige Y, Kikuchi Y, Odagaki M. A Transcranial Magnetic Stimulation Trigger System for Suppressing Motor-Evoked Potential Fluctuation Using Electroencephalogram Coherence Analysis: Algorithm Development and Validation Study. JMIR Biomedical Engineering 2021;6(2):e28902 View
  4. Liu M, Ushiba J. Brain–machine Interface (BMI)-based Neurorehabilitation for Post-stroke Upper Limb Paralysis. The Keio Journal of Medicine 2022;71(4):82 View
  5. Chen S, Shu X, Wang H, Ding L, Fu J, Jia J. The Differences Between Motor Attempt and Motor Imagery in Brain-Computer Interface Accuracy and Event-Related Desynchronization of Patients With Hemiplegia. Frontiers in Neurorobotics 2021;15 View
  6. Nishida D. Gait Improvement on Brain Plasticity Change. The Japanese Journal of Rehabilitation Medicine 2023;60(9):785 View
  7. Höhler C, Trigili E, Astarita D, Hermsdörfer J, Jahn K, Krewer C. The efficacy of hybrid neuroprostheses in the rehabilitation of upper limb impairment after stroke, a narrative and systematic review with a meta‐analysis. Artificial Organs 2024;48(3):232 View
  8. Colamarino E, Morone G, Toppi J, Riccio A, Cincotti F, Mattia D, Pichiorri F. A Scoping Review of Technology-Based Approaches for Upper Limb Motor Rehabilitation after Stroke: Are We Really Targeting Severe Impairment?. Journal of Clinical Medicine 2024;13(18):5414 View

Books/Policy Documents

  1. Lim J, Lin D, Sohn W, McCrimmon C, Wang P, Nenadic Z, Do A. Neurorehabilitation Technology. View