SEMG Bias-Driven Functional Electrical Stimulation System for Upper-Limb Stroke Rehabilitation

  • Yu Zhou
  • , Yinfeng Fang
  • , Kai Gui
  • , Kairu Li
  • , Dingguo Zhang
  • , Honghai Liu*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

It is evident that the dominant therapy of functional electrical stimulation (FES) for stroke rehabilitation suffers from heavy dependency on therapists experience and lack of feedback from patients' status, which decrease the patients' voluntary participation, reducing the rehabilitation efficacy. This paper proposes a closed loop FES system using surface electromyography (sEMG) bias feedback from bilateral arms for enhancing upper-limb stroke rehabilitation. This wireless portable system consists of sEMG data acquisition and FES modules, the former is used to measure and analyze the subject's bilateral arm motion intention and neuromuscular states in terms of their sEMG, the latter of multi-channel FES output is controlled via the sEMG bias of the bilateral arms. The system has been evaluated with experiments proving that the system can achieve 39.9 dB signal-to-noise ratio in the lab environment, outperforming existing similar systems. The results also show that voluntary and active participation can be effectively employed to achieve different FES intensity for FES-assisted hand motions, demonstrating the potential for active stroke rehabilitation.

Original languageEnglish
Article number8387828
Pages (from-to)6812-6821
Number of pages10
JournalIEEE Sensors Journal
Volume18
Issue number16
DOIs
StatePublished - 15 Aug 2018
Externally publishedYes

Keywords

  • Functional electrical stimulation (FES)
  • active rehabilitation
  • bilateral arm bias
  • closed loop
  • stroke
  • surface electromyography (sEMG)

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