A closed-loop electrical stimulation system triggered by EOG for acupuncture therapy

Ding Yuan, Yurong Li*, Tian Wang, Jianguo Chen, Dongyi Chen, Dong Lin, Yuan Yang

*Corresponding author for this work

Research output: Contribution to journalArticle

Abstract

Acupuncture therapy is an often-used traditional Chinese medicine intervention of autism spectrum disorder. Acupuncture is usually delivered by therapists; thus, its effectiveness highly relies on their experience. This paper designed a closed-loop electrical stimulation treatment system triggered by neurophysiological signals, in order to improve the conventional acupuncture in clinical trials. Electrooculogram (EOG) signals are collected and analyzed synchronously while autistic children are watching the specifically designed visual evocation system. The electrical stimulation is triggered once the attention state is determined, delivering stimulation to the Changqiang acupoint (between the tailbone and the anus). Three healthy volunteers and four autistic children participated in this proof-of-concept study. Prior to the online test, the subject-special EOG template was determined offline. We obtained the mean recognition rate of 95.45% for healthy participants and 89.43% for autistic children, and the mean false recognition rate of 2.51% for healthy participants and 7.23% for autistic children by template matching algorithm. The system was able to recognize the EOG pattern of attention to the state and successfully trigger the electrical stimulation. This study is the first time to combine acupuncture and bioelectrical signal to provide an automatic closed-loop electrical stimulation system for acupuncture therapy.

Original languageEnglish (US)
Pages (from-to)128-140
Number of pages13
JournalSystems Science and Control Engineering
Volume8
Issue number1
DOIs
StatePublished - Jan 1 2020

Keywords

  • Autism
  • closed-loop system
  • electrical stimulation
  • electrooculogram (EOG)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization
  • Artificial Intelligence

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