Literature DB >> 30080152

Active Physical Practice Followed by Mental Practice Using BCI-Driven Hand Exoskeleton: A Pilot Trial for Clinical Effectiveness and Usability.

Anirban Chowdhury, Yogesh Kumar Meena, Haider Raza, Braj Bhushan, Ashwani Kumar Uttam, Nirmal Pandey, Adnan Ariz Hashmi, Alok Bajpai, Ashish Dutta, Girijesh Prasad.   

Abstract

Appropriately combining mental practice (MP) and physical practice (PP) in a poststroke rehabilitation is critical for ensuring a substantially positive rehabilitation outcome. Here, we present a rehabilitation protocol incorporating a separate active PP stage followed by MP stage, using a hand exoskeleton and brain-computer interface (BCI). The PP stage was mediated by a force sensor feedback-based assist-as-needed control strategy, whereas the MP stage provided BCI-based multimodal neurofeedback combining anthropomorphic visual feedback and proprioceptive feedback of the impaired hand extension attempt. A six week long clinical trial was conducted on four hemiparetic stroke patients (screened out of 16) with a left-hand disability. The primary outcome, motor functional recovery, was measured in terms of changes in grip-strength (GS) and action research arm test (ARAT) scores; whereas the secondary outcome, usability of the system was measured in terms of changes in mood, fatigue, and motivation on a visual-analog-scale. A positive rehabilitative outcome was found as the group mean changes from the baseline in the GS and ARAT were +6.38 kg and +5.66 accordingly. The VAS scale measurements also showed betterment in mood ( 1.38), increased motivation (+2.10) and reduced fatigue (0.98) as compared to the baseline. Thus, the proposed neurorehabilitation protocol is found to be promising both in terms of clinical effectiveness and usability.

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Year:  2018        PMID: 30080152     DOI: 10.1109/JBHI.2018.2863212

Source DB:  PubMed          Journal:  IEEE J Biomed Health Inform        ISSN: 2168-2194            Impact factor:   5.772


  9 in total

1.  Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.

Authors:  Paul Dominick E Baniqued; Emily C Stanyer; Muhammad Awais; Ali Alazmani; Andrew E Jackson; Mark A Mon-Williams; Faisal Mushtaq; Raymond J Holt
Journal:  J Neuroeng Rehabil       Date:  2021-01-23       Impact factor: 4.262

2.  A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface.

Authors:  Dheeraj Rathee; Haider Raza; Sujit Roy; Girijesh Prasad
Journal:  Sci Data       Date:  2021-04-29       Impact factor: 6.444

Review 3.  Intention Detection Strategies for Robotic Upper-Limb Orthoses: A Scoping Review Considering Usability, Daily Life Application, and User Evaluation.

Authors:  Jessica Gantenbein; Jan Dittli; Jan Thomas Meyer; Roger Gassert; Olivier Lambercy
Journal:  Front Neurorobot       Date:  2022-02-21       Impact factor: 2.650

Review 4.  Toward an Adapted Neurofeedback for Post-stroke Motor Rehabilitation: State of the Art and Perspectives.

Authors:  Salomé Le Franc; Gabriela Herrera Altamira; Maud Guillen; Simon Butet; Stéphanie Fleck; Anatole Lécuyer; Laurent Bougrain; Isabelle Bonan
Journal:  Front Hum Neurosci       Date:  2022-07-14       Impact factor: 3.473

Review 5.  Determining optimal mobile neurofeedback methods for motor neurorehabilitation in children and adults with non-progressive neurological disorders: a scoping review.

Authors:  Ahad Behboodi; Walker A Lee; Victoria S Hinchberger; Diane L Damiano
Journal:  J Neuroeng Rehabil       Date:  2022-09-28       Impact factor: 5.208

6.  Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis.

Authors:  Zhongfei Bai; Kenneth N K Fong; Jack Jiaqi Zhang; Josephine Chan; K H Ting
Journal:  J Neuroeng Rehabil       Date:  2020-04-25       Impact factor: 4.262

7.  Home used, patient self-managed, brain-computer interface for the management of central neuropathic pain post spinal cord injury: usability study.

Authors:  M K H Al-Taleb; M Purcell; M Fraser; N Petric-Gray; A Vuckovic
Journal:  J Neuroeng Rehabil       Date:  2019-10-30       Impact factor: 4.262

8.  An Intelligent Human-Unmanned Aerial Vehicle Interaction Approach in Real Time Based on Machine Learning Using Wearable Gloves.

Authors:  Taha Müezzinoğlu; Mehmet Karaköse
Journal:  Sensors (Basel)       Date:  2021-03-04       Impact factor: 3.576

9.  Analysis of Prognostic Risk Factors Determining Poor Functional Recovery After Comprehensive Rehabilitation Including Motor-Imagery Brain-Computer Interface Training in Stroke Patients: A Prospective Study.

Authors:  Qiong Wu; Yunxiang Ge; Di Ma; Xue Pang; Yingyu Cao; Xiaofei Zhang; Yu Pan; Tong Zhang; Weibei Dou
Journal:  Front Neurol       Date:  2021-06-10       Impact factor: 4.003

  9 in total

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