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Motorized CPM/CAM physiotherapy device with sliding-mode Fuzzy Neural Network control loop.

Hung-Jung Ho1, Tien-Chi Chen

  • 1Department of Engineering Science, National Cheng Kung University, Tainan, Taiwan.

Computer Methods and Programs in Biomedicine
|May 15, 2009
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Summary
This summary is machine-generated.

This study introduces a computerized physiotherapy system for joint rehabilitation, utilizing a Fuzzy Neural Network for controllable active motion. The advanced device offers auto-adaptable therapy and remote monitoring capabilities.

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Area of Science:

  • Biomedical Engineering
  • Rehabilitation Technology
  • Control Systems

Background:

  • Continuous passive motion (CPM) and controllable active motion (CAM) devices are crucial for joint rehabilitation.
  • Existing devices often rely on mechanical resistance, limiting adaptability.
  • A need exists for advanced, adaptable, and data-driven physiotherapy solutions.

Purpose of the Study:

  • To present a novel computerized CPM/CAM system for joint rehabilitation.
  • To eliminate the need for traditional mechanical resistance devices.
  • To enable sophisticated, auto-adaptable physiotherapy with enhanced data capabilities.

Main Methods:

  • Development of a PC-based CPM/CAM system controlled by online sliding-mode Fuzzy Neural Network (FNN) calculations.
  • Implementation of an electric motor for active resistance, controlled via an active impedance control feedback system.
  • Integration of a force sensor for real-time feedback within the FNN control loop.

Main Results:

  • The system successfully generates controllable active motion (CAM) resistance force.
  • Experimental results demonstrate high sensitivity and speed of the device.
  • The PC-based feedback enables sophisticated auto-adaptable physiotherapy and extensive data recording.

Conclusions:

  • The computerized CPM/CAM system offers a flexible and advanced approach to joint rehabilitation.
  • The FNN control allows for precise, adaptable resistance, mimicking a damped spring.
  • The system facilitates custom-designed therapy, data analysis, and remote patient monitoring.