Signal Classification
Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Emine Yaman
Yaman, EmineEmine Yaman received the BS,MS and PhD degree in Medical Informatics and Computer Science from Vienna University of Technology, Austria.Her areas of interests are data mining, biomedical signal processing, artificial intelligence, machine learning. She is voluntarily serving as a technical publication reviewer for many respected scientific journals
Bibliographische Angaben
- Autor: Emine Yaman
- 2019, 168 Seiten, Masse: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6200498903
- ISBN-13: 9786200498908
Sprache:
Englisch
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