Paper
18 April 2003 Wireless patient monitoring on shoe for the assessment of foot dysfunction: an overview
Author Affiliations +
Proceedings Volume 5119, Bioengineered and Bioinspired Systems; (2003) https://doi.org/10.1117/12.499186
Event: Microtechnologies for the New Millennium 2003, 2003, Maspalomas, Gran Canaria, Canary Islands, Spain
Abstract
This paper presents an overview of the wireless monitoring and quantitative assessment of joint dynamics of ankle which has suffered from soft tissue injury, immobilization or any dysfunction with special focus on the treatment and rehabilitation applications. The inadequacy of a reliable and easy method for continuous measurement and recording of ankle movement while doing physical therapy makes the monitoring of its progress difficult. Development of a wireless ankle motion monitoring system inside the shoe provides information on several aspects of activities associated with a dysfunctional foot. The system is based on continuous wireless monitoring of signals from accelerometers and gyroscopes fixed inside the shoe. From these signals, the duration, rate, and moment of occurrence of activities associated with mobility (e.g., lying, sitting, standing, walking up and down, running, cycling, wheelchair use and general movement) and transitions (changes in angle) can be detected. Information about the movement can be obtained by the acceleration sensors, which is related to the intensity of body-segment movement. Apart from monitoring accelerations, other signals due to turning and angular movements can be obtained using the miniature gyroscope attached to the shoe.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose K Abraham, Ashwin K Whitchurch, Vijay K Varadan, and Karunakaran Sarukesi "Wireless patient monitoring on shoe for the assessment of foot dysfunction: an overview", Proc. SPIE 5119, Bioengineered and Bioinspired Systems, (18 April 2003); https://doi.org/10.1117/12.499186
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KEYWORDS
Gyroscopes

Sensors

Human-machine interfaces

Computing systems

Microcontrollers

Analog electronics

Sensing systems

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