NDLI: Hybrid soft computing systems for electromyographic signals analysis: a review

Content Provider	Springer Nature : BioMed Central
Author	Xie, Hong-Bo Guo, Tianruo Bai, Siwei Dokos, Socrates
Abstract	Electromyographic (EMG) is a bio-signal collected on human skeletal muscle. Analysis of EMG signals has been widely used to detect human movement intent, control various human-machine interfaces, diagnose neuromuscular diseases, and model neuromusculoskeletal system. With the advances of artificial intelligence and soft computing, many sophisticated techniques have been proposed for such purpose. Hybrid soft computing system (HSCS), the integration of these different techniques, aims to further improve the effectiveness, efficiency, and accuracy of EMG analysis. This paper reviews and compares key combinations of neural network, support vector machine, fuzzy logic, evolutionary computing, and swarm intelligence for EMG analysis. Our suggestions on the possible future development of HSCS in EMG analysis are also given in terms of basic soft computing techniques, further combination of these techniques, and their other applications in EMG analysis.
Related Links	https://biomedical-engineering-online.biomedcentral.com/counter/pdf/10.1186/1475-925X-13-8.pdf
Ending Page	19
Page Count	19
Starting Page	1
File Format	HTM / HTML
DOI	10.1186/1475-925X-13-8
Journal	BioMedical Engineering OnLine
Issue Number	1
Volume Number	13
Language	English
Publisher	BioMed Central
Publisher Date	2014-02-03
Access Restriction	Open
Subject Keyword	Biomedical Engineering and Bioengineering Biomaterials Biotechnology Biomedical Engineering Electromyography Hybrid soft computing system Pattern classification Modeling Neuromuscular disease diagnosis Biomedical Engineering/Biotechnology
Content Type	Text
Resource Type	Review
Subject	Biomaterials Radiological and Ultrasound Technology Biomedical Engineering Radiology, Nuclear Medicine and Imaging
Journal Impact Factor	2.9/2023
5-Year Journal Impact Factor	3.5/2023

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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