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Related Experiment Video

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Study on upper limb rehabilitation system based on surface EMG.

Lan Wang1, Hailong Li1, Zhengyu Wang1

  • 1College of Mechanical and Electrical Engineering, Harbin Engineering University, No. 145 Nantong Street, Nangang District, Harbin,150001, China.

Bio-Medical Materials and Engineering
|September 26, 2015
PubMed
Summary

This study introduces an upper limb rehabilitation system that accurately monitors patient training via real-time torque and muscle activation (sEMG) data. The system effectively assesses recovery progress, aiding in personalized rehabilitation program development.

Keywords:
Surface EMGrehabilitation assessmentupper limb rehabilitation system

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Human-Computer Interaction

Background:

  • Accurate patient recovery assessment is crucial for effective rehabilitation.
  • Developing tailored training programs requires precise monitoring of patient progress.
  • Existing systems may lack real-time feedback on muscle activity and training load.

Purpose of the Study:

  • To present a novel upper limb rehabilitation training system.
  • To enable real-time monitoring of patient training and recovery.
  • To provide a platform for rehabilitation medical engineering research.

Main Methods:

  • Integration of an upper limb training device, current/speed sensors, surface EMG (sEMG) sensor, and dSPACE HIL simulation.
  • Real-time calculation of servo motor output torque using current and speed data.
  • Processing of sEMG signals with root mean square (RMS) for muscle activation assessment.

Main Results:

  • The system achieves real-time and accurate monitoring of patient training status.
  • It effectively assesses patient recovery by analyzing muscle activation levels.
  • Demonstrated feasibility through maximum voluntary contraction, passive, and active training experiments.

Conclusions:

  • The developed system offers precise, real-time feedback for upper limb rehabilitation.
  • It facilitates objective assessment of muscle activation and recovery.
  • The platform supports advancements in rehabilitation engineering and personalized therapy.