NDLI: Recognition delay and recognition rate of knee motor intention recognized by electromyogram and continuous hidden Markov model

Content Provider	IEEE Xplore Digital Library
Author	Hyeong Jin Jeon Seung-Jong Kim Yoha Hwang ChangHwan Kim Jong Min Lee
Copyright Year	2014
Description	Author affiliation: Center for Bionics, Korea Inst. of Sci. & Technol., Seoul, South Korea (Hyeong Jin Jeon; Seung-Jong Kim; Yoha Hwang; ChangHwan Kim; Jong Min Lee)
Abstract	A motor rehabilitation robot applied patient's intention can enhance the rehabilitation efficacy. Continuous hidden Markov models of knee flexion and extension are trained using autoregressive model coefficients of knee flexor and extensor electromyograms. The patient's intention of knee movement are recognized by the trained continuous hidden Markov models and the user's knee flexor and extensor electromyograms. The suggested method was applied to a knee joint rehabilitation robot for identifying the suggested classification method in real time. A nondisabled healthy subject wore the robot, and its knee joint was extended when the subject's intention was recognized as `Extension.' The robot's knee joint was bended when the subject's intention was recognized as `Flexion'. If the user's intention wasn't recognized as `Extension' nor `Flexion', the robot's knee joint was remained stationary. The robot had followed properly the subject's knee joint motor intention. As a result of hidden Markov model classification, the robot reflects the subject's intensions with the recognition delay shorter than 200 msec and the recognition rate of 94.23 %. The results show the suggested method has good potential as a bio-signal classification method for a motor rehabilitation robot.
Starting Page	357
Ending Page	360
File Size	847870
Page Count	4
File Format	PDF
ISSN	20937121
e-ISBN	9788993215076
DOI	10.1109/ICCAS.2014.6988022
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-10-22
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Control, Robotics and Systems (ICROS)
Subject Keyword	Recognition delay Recognition rate Medical treatment Hidden Markov models Continuous hidden Markov model Electromyogram Vectors Electromyography Motor intention recognition Robots Knee joint rehabilitation robot
Content Type	Text
Resource Type	Article

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