Multimodal Sensing in Stroke Motor Rehabilitation

  • Zihe Zhao
  • , Jiaqi Wang
  • , Shengbo Wang
  • , Rui Wang
  • , Yao Lu
  • , Yan Yuan
  • , Junliang Chen
  • , Yanning Dai
  • , Yong Liu
  • , Xiaomeng Wang
  • , Yu Pan
  • , Shuo Gao*
  • *Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

Abstract

Applying sensors in biomedical institutions and home-based stroke rehabilitation is now a global research focus. In this review paper, the relationship between stroke diseases’ physiology mechanism and diverse sensors’ functionalities is detailed explained. The review starts by interpreting how stroke influences motion abilities and then introduces broadly adopted physical training methods. After, the working principles of sensors and their use to objectively provide patients’ body information for stroke rehabilitation status are discussed. The content of the paper aims to not only review the state-of-the-art works of developing sensors for assisting in evaluating stroke patients’ status but also bridging the gap between medical staff and engineers.

Original languageEnglish
Article number2200055
JournalAdvanced Sensor Research
Volume2
Issue number9
DOIs
StatePublished - 1 Sep 2023

Keywords

  • assisted robots
  • motor rehabilitation
  • physiological signal detection
  • stroke
  • wearable sensors

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