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Development of a Portable Gait Phase Detection System for Patients with Gait Disorders  

Ahn Seung Chan (Department of Biomedical Engineering and Institute of Medical Engineering, Yonsei University)
Hwang Sung Jae (Department of Biomedical Engineering and Institute of Medical Engineering, Yonsei University)
Kang Sung Jae (Department of Biomedical Engineering and Institute of Medical Engineering, Yonsei University)
Kim Young Ho (Department of Biomedical Engineering and Institute of Medical Engineering, Yonsei University)
Publication Information
Journal of Biomedical Engineering Research / v.26, no.3, 2005 , pp. 145-150 More about this Journal
Abstract
A new gait detection system using both FSR (force sensing resistor) sensors and a gyrosensor was developed to detect various gait patterns. FSR sensors were put in self-designed shoe insoles and a gyrosensor was attached to the heel of a shoe. An algorithm was also developed to determine eight different gait transitions during four gait phases: heel-strike, foot-flat, heel-off and swing. The developed system was evaluated from nine heathy mans and twelve hemiplegic patients. Healthy volunteers were asked to walk in various gait patterns: level walking, fore-foot walking and stair walking. Only the level walking was performed in hemiplegic patients. The gait detection system was compared with a optical motion analysis system and the outputs of the FSR sensors. In healthy subjects, the developed system detected successfully more than $99\%$ for both level walking and fore-foot walking. For stair walking, the successful detection rate of the system was above$97\%$. In hemiplegic patients, the developed system detected approximately 98% of gait transitions. The developed gait phase detection system will be helpful not only to determine pathological gait phases but also to apply prosthetics, orthotics and functional electrical stimulation for patients with various gait disorders.
Keywords
Gait phase detection; Functional electrical stimulation; FSR sensor; Gyrosensor; Microprocessor;
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