Pattern Recognition of Electromyogram Signals for Knee Joint Rehabilitation Robot

Title
Pattern Recognition of Electromyogram Signals for Knee Joint Rehabilitation Robot
Authors
전형진김경재황요하김창환김승종이종민
Keywords
Electromyogram; Hidden Markov model; Knee joint rehabilitation robot; Motor intention recognition
Issue Date
2013-10
Publisher
the 44th International Symposium on Robotics
Abstract
Patient’s knee joint motor intentions could be used to enhance the performance of rehabilitation robots. The patterns of knee extensor/flexor electromyograms are classified using hidden Markov model method to detect patient’s knee joint motor intentions. As the patient’s intentions are recognized along the classified patterns, the robot is controlled by the recognized intentions and the patient’s intentions are reflected. The suggested method was applied to the 1-DOF knee joint rehabilitation robot, which has followed the subject’s intentions properly.
URI
http://pubs.kist.re.kr/handle/201004/46105
Appears in Collections:
KIST Publication > Conference Paper
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