EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction (Record no. 52219)
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000 -LEADER | |
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fixed length control field | 02925nam a22005775i 4500 |
001 - CONTROL NUMBER | |
control field | 978-981-287-320-0 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20200420220226.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 150210s2015 si | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9789812873200 |
-- | 978-981-287-320-0 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 610.28 |
100 1# - AUTHOR NAME | |
Author | Mokhlesabadifarahani, Bita. |
245 10 - TITLE STATEMENT | |
Title | EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XV, 35 p. 17 illus., 13 illus. in color. |
490 1# - SERIES STATEMENT | |
Series statement | SpringerBriefs in Applied Sciences and Technology, |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | Introduction to EMG Technique and Feature Extraction -- Methodology for working with EMG dataset -- Results -- Conclusions and Inferences of Present Study. |
520 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Gunjan, Vinit Kumar. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | http://dx.doi.org/10.1007/978-981-287-320-0 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Singapore : |
-- | Springer Singapore : |
-- | Imprint: Springer, |
-- | 2015. |
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-- | txt |
-- | rdacontent |
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-- | computer |
-- | c |
-- | rdamedia |
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-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Forensic science. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Health informatics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Orthopedics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Rehabilitation. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Bioinformatics. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biomedical engineering. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Biomedical Engineering. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Orthopedics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Forensic Science. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Computational Biology/Bioinformatics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Health Informatics. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Rehabilitation. |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
-- | 2191-530X |
912 ## - | |
-- | ZDB-2-ENG |
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