Use of Advanced Materials and Artificial Intelligence in Electromyography Signal Detection and Interpretation-Reference-Cited by-同舟云学术

Use of Advanced Materials and Artificial Intelligence in Electromyography Signal Detection and Interpretation

Author:

Gao Shuo¹^ORCID,Gong Jing¹^ORCID,Chen Bofei¹,Zhang Bozhou²,Luo Fengrong³,Yerabakan Mustafa O.⁴,Pan Yu⁵,Hu Boyi⁴

Affiliation:

1. School of Instrumentation and Optoelectronic Engineering Beihang University 37 Xueyuan Rd Beijing 100191 China

2. School of Automation Science and Electrical Engineering Beijing University 37 Xueyuan Rd Beijing 100191 China

3. School of Mechanical Engineering and Automation Beijing University 37 Xueyuan Rd Beijing 100191 China

4. Department of Industrial and Systems Engineering University of Florida Gainesville FL 32611-6595 USA

5. Department of Rehabilitation Medicine School of Clinical Medicine Beijing Tsinghua Changgung Hospital Tsinghua University Beijing 100084 China

Funder

National Natural Science Foundation of China

Beihang University

Tsinghua University

Publisher

Wiley

Subject

General Medicine

Link

Reference226 articles.

5. S.Negi Y.Kumar V. M.Mishra in2016 2nd Int. Conf. Advances in Computing Communication & Automation (ICACCA) (Fall) IEEE Bareilly India 2016 pp.1–6.

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