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Beschreibung
In this study the EMG data that are collected from 25 subjects were analyzed. Two separate groups of myopathy and ALS patients and a control group are the participants of the research. Both females and males are included in the all groups. We preprocessed the EMG signals and used autoregressive method (AR) and discrete wavelet method (DWT) for feature extraction. Features are applied to various classification algorithms, namely Multilayer perceptron, C 4,5, CART, K-NN, Random forest tree.
Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 23. Dezember 2019 |
| Maße | 22 cm x 15 cm x 1.1 cm |
| Gewicht | 268 Gramm |
| Format | Softcover |
| ISBN-13 | 9786200498908 |
| Seiten | 168 |
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