EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
Başlık:
EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction
Yazar:
Mokhlesabadifarahani, Bita. author.
ISBN:
9789812873200
Fiziksel Niteleme:
XV, 35 p. 17 illus., 13 illus. in color. online resource.
Seri:
SpringerBriefs in Applied Sciences and Technology,
İçindekiler:
Introduction to EMG Technique and Feature Extraction -- Methodology for working with EMG dataset -- Results -- Conclusions and Inferences of Present Study.
Özet:
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.
Yazar Ek Girişi:
Ek Kurum Yazar:
Elektronik Erişim:
http://dx.doi.org/10.1007/978-981-287-320-0