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- Includes supplementary material: sn.pub/extras
Part of the book series: SpringerBriefs in Applied Sciences and Technology (BRIEFSAPPLSCIENCES)
Part of the book sub series: SpringerBriefs in Forensic and Medical Bioinformatics (BRIEFSFOMEBI)
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About this book
Neuro-muscular and musculoskeletal disorders and injuries highly affect the life style and the motion abilities of an individual. This brief highlights a systematic method for detection of the level of muscle power declining in musculoskeletal and Neuro-muscular disorders. The neuro-fuzzy system is trained with 70 percent of the recorded Electromyography (EMG) cut off window and then used for classification and modeling purposes. The neuro-fuzzy classifier is validated in comparison to some other well-known classifiers in classification of the recorded EMG signals with the three states of contractions corresponding to the extracted features. Different structures of the neuro-fuzzy classifier are also comparatively analyzed to find the optimum structure of the classifier used.
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Table of contents (4 chapters)
Authors and Affiliations
About the authors
Ms. Bita is an Occupational Therapist with dignified academic background over eight years experience in treatment of multiple sclerosis, Neuro-rehabilitation, Orthopedic Rehabilitation and researcher role in the Neuro-rehabilitation research, Ergo Design and treatment field of an esteemed Rehabilitation centre. Presently she works in synergy with medical practitioner of high repute while operating from private practice to contribute to society and medical fraternity.
Mr. Vinit Kumar Gunjan is an Assistant Professor at AITS, Rajampet India. He also serves as the Secretary of IEEE Computer Society of Hyderabad Chapter. He worked with Tata Consultancy Services and SET Noida before joining AITS. Vinit is member of several IEEE Societies, ACM, ACCS, IE and others. He has several National and International Publications to his credit.
Mr. Vinit Kumar Gunjan is an Assistant Professor at AITS, Rajampet India. He also serves as the Secretary of IEEE Computer Society of Hyderabad Chapter. He worked with Tata Consultancy Services and SET Noida before joining AITS. Vinit is member of several IEEE Societies, ACM, ACCS, IE and others. He has several National and International Publications to his credit.
Bibliographic Information
Book Title: EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
Authors: Bita Mokhlesabadifarahani, Vinit Kumar Gunjan
Series Title: SpringerBriefs in Applied Sciences and Technology
DOI: https://doi.org/10.1007/978-981-287-320-0
Publisher: Springer Singapore
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Author(s) 2015
Softcover ISBN: 978-981-287-319-4Published: 11 March 2015
eBook ISBN: 978-981-287-320-0Published: 10 February 2015
Series ISSN: 2191-530X
Series E-ISSN: 2191-5318
Edition Number: 1
Number of Pages: XV, 35
Number of Illustrations: 4 b/w illustrations, 13 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Orthopedics, Forensic Science, Computational Biology/Bioinformatics, Health Informatics, Rehabilitation