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Home-Based Monitor for Gait and Activity Analysis
07:24

Home-Based Monitor for Gait and Activity Analysis

Published on: August 8, 2019

Wheelchair type biomedical system with event-recorder function.

Dong-Kyoon Han1, Jong-Myoung Kim, Eun-Jong Cha

  • 1Department of Biomedical Engineering, College of Medicine, Chungbuk National University, Cheongju, South Korea. handk123@hanmail.net

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
|January 24, 2009
PubMed
Summary
This summary is machine-generated.

This study developed a wheelchair system measuring bio-signals (ECG, BCG) and acceleration, transmitting data to a remote server. The system accurately transmitted data and demonstrated stable battery life for mobile healthcare applications.

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Area of Science:

  • Biomedical Engineering
  • Wearable Technology
  • Mobile Health

Background:

  • Wheelchair users require continuous health monitoring.
  • Existing systems lack integrated bio-signal and kinetic data capture.
  • Remote data transmission is crucial for timely medical intervention.

Purpose of the Study:

  • To develop a novel biometric system for wheelchairs.
  • To simultaneously measure bio-signals (ECG, BCG) and kinetic data (acceleration).
  • To transmit this data to a remote medical server via a CDMA network.

Main Methods:

  • Designed a body area network integrated into a wheelchair.
  • Incorporated sensors for Electrocardiogram (ECG), Ballistocardiogram (BCG), and acceleration.
  • Utilized a Code Division Multiple Access (CDMA) network for data transmission to a remote server.
  • Developed a remote server for real-time data display.

Main Results:

  • The system demonstrated stable battery performance, lasting approximately 29 hours with 16 triggered events.
  • Biometric data, including bio-signals and acceleration, were accurately transmitted to the remote medical server.
  • The system successfully displayed event data in real time.

Conclusions:

  • The developed wheelchair biometric system is functional and reliable.
  • It offers a viable solution for remote health monitoring of wheelchair users.
  • The system has significant potential for application in mobile healthcare systems.