Literature DB >> 29060409

Importance of muscle selection for EMG signal analysis during upper limb rehabilitation of stroke patients.

A Costa, M Itkonen, H Yamasaki, F S Alnajjar, S Shimoda.   

Abstract

Current work highlights the importance of muscle selection to evaluate paralysis and recovery level of stroke patients when comparing synergies of affected and non-affected side of the body. The proposed method allows the selection of important muscles that highly contribute to the specific movements according to the power and frequency distribution of the electromyographic signals.. Users participating performed steering-wheel-based therapy focused on upper limb rehabilitation. Final results show that with the appropriate muscles selection, it is possible to compute a Similarity Index between right and left arms (during symmetric motion) associated to the level of paralysis and potential recovery of a given subject.

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Year:  2017        PMID: 29060409     DOI: 10.1109/EMBC.2017.8037367

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Motor Control System for Adaptation of Healthy Individuals and Recovery of Poststroke Patients: A Case Study on Muscle Synergies.

Authors:  Fady S Alnajjar; Juan C Moreno; Ken-Ichi Ozaki; Izumi Kondo; Shingo Shimoda
Journal:  Neural Plast       Date:  2019-03-27       Impact factor: 3.599

2.  Selection of EMG Sensors Based on Motion Coordinated Analysis.

Authors:  Lingling Chen; Xiaotian Liu; Bokai Xuan; Jie Zhang; Zuojun Liu; Yan Zhang
Journal:  Sensors (Basel)       Date:  2021-02-06       Impact factor: 3.576

3.  A Novel Feature Optimization for Wearable Human-Computer Interfaces Using Surface Electromyography Sensors.

Authors:  Han Sun; Xiong Zhang; Yacong Zhao; Yu Zhang; Xuefei Zhong; Zhaowen Fan
Journal:  Sensors (Basel)       Date:  2018-03-15       Impact factor: 3.576

  3 in total

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