| 书目名称 | EMG Signals Characterization in Three States of Contraction by Fuzzy Network and Feature Extraction |
| 编辑 | Bita Mokhlesabadifarahani,Vinit Kumar Gunjan |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | SpringerBriefs in Applied Sciences and Technology |
| 图书封面 |  |
| 描述 | 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. |
| 出版日期 | Book 2015 |
| 关键词 | Electromyography (EMG); Feature Extraction; Fuzzy Network; Musculoskeletal Disorders; Neuro-fuzzy Classi |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-287-320-0 |
| isbn_softcover | 978-981-287-319-4 |
| isbn_ebook | 978-981-287-320-0Series ISSN 2191-530X Series E-ISSN 2191-5318 |
| issn_series | 2191-530X |
| copyright | The Author(s) 2015 |
发表于 2025-3-21 19:21:44
