A closed-loop micro-stimulator controlled by muscle fatigue status and function impairment level for upper limb rehabilitation

Yinjun Tu, Glenn I. Matthews, Shuenn Yuh Lee, Qiang Fang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Muscle contractions of upper limbs induced by functional electrical stimulation (FES) is a widely used rehabilitation method for stroke patients. However, FES tends to result in rapid muscle fatigue, which greatly limits activities such as FES-assisted rehabilitation exercises. In order to minimize the effect of muscle fatigue, an intelligent Muscle Fatigue Status (MFS) and an Function Impairment Level (FIL) controlled micro-stimulator are proposed. The stimulation parameters of the FES are updated according to the FIL of stroke patients initially. During the break of stimulation, mean frequency (MNF) and median frequency (MDF) are exacted from an electromyography (EMG) signal, which is directly detected from the stimulated muscle of stroke patients. The MFS that can be generated from MNF and MDF is used to control the operation mode of micro-stimulator. This implantable micro-stimulator will be designed and fabricated using system on chip technology.

Original languageEnglish
Title of host publication4th International Symposium on Bioelectronics and Bioinformatics, ISBB 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages120-123
Number of pages4
ISBN (Electronic)9781467366090
DOIs
Publication statusPublished - 2015 Dec 2
Event4th International Symposium on Bioelectronics and Bioinformatics, ISBB 2015 - Beijing, China
Duration: 2015 Oct 142015 Oct 17

Publication series

Name4th International Symposium on Bioelectronics and Bioinformatics, ISBB 2015

Other

Other4th International Symposium on Bioelectronics and Bioinformatics, ISBB 2015
CountryChina
CityBeijing
Period15-10-1415-10-17

All Science Journal Classification (ASJC) codes

  • Health Informatics
  • Biotechnology
  • Signal Processing
  • Electrical and Electronic Engineering

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