Research on EMG segmentation algorithm and walking analysis based on signal envelope and integral electrical signal-Reference-Cited by-同舟云学术

Research on EMG segmentation algorithm and walking analysis based on signal envelope and integral electrical signal

Published:2018-11-19 Issue:2 Volume:37 Page:195-203
ISSN:1387-974X
Container-title:Photonic Network Communications
language:en
Short-container-title:Photon Netw Commun

Author:

Wang Mo,Wang Xin’an,Peng Chen,Zhang Sixu,Fan Zhuochen,Liu Zhong

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Atomic and Molecular Physics, and Optics,Software

Link

http://link.springer.com/content/pdf/10.1007/s11107-018-0809-1.pdf

Reference21 articles.

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2. Chen, Yang, Zhao, Xingang, Han, Jianda: Hierarchical projection regression for online estimation of elbow joint angle using EMG signals. Neural Comput. Appl. 23(3–4), 1129–1138 (2013)

3. Cha, Y.-J., Kim, J.-D., Choi, Y.-R., et al.: Effects of gait training with auditory feedback on walking and balancing ability in adults after hemiplegic stroke: a preliminary, randomized, controlled study. Int. J. Rehabil. Res. 41, 239–243 (2018)

4. Li, Yantao, Zhou, Gang, Graham, Daniel, Holtzhauer, Andrew: Towards an EEG-based brain-computer interface for online robot control. Multimed. Tools Appl. 75(13), 7999–8017 (2016)

5. De Luca, A., Vernetti, H., Capra, C., et al.: Recovery and compensation after robotic assisted gait training in chronic stroke survivors. Disabil. Rehabil. Assist. Technol. (2018). https://doi.org/10.1080/17483107.2018.1466926

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