Real-time gait subphase detection using an EMG signal graph matching (ESGM) algorithm based on EMG signals

作者：

Highlights：

• The algorithm uses the curve matching between input EMG and reference EMG signals.

• The proposed method reflects better timing characteristics than the time features.

• The method provides real-time recognition of the gait subphase using EMG signals.

摘要

•The algorithm uses the curve matching between input EMG and reference EMG signals.•The proposed method reflects better timing characteristics than the time features.•The method provides real-time recognition of the gait subphase using EMG signals.

论文关键词：EMG signal,Gait subphase detection,EMG signal graph matching,Gait assistant robot,Rehabilitation

论文评审过程：Received 8 November 2015, Revised 29 March 2017, Accepted 4 May 2017, Available online 18 May 2017, Version of Record 10 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.05.006