Signal Classification | Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification

Emine Yaman

ISBN 10: 6200498903 / ISBN 13: 9786200498908

Published by LAP LAMBERT Academic Publishing, 2019

About this Item

Signal Classification | Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification | Emine Yaman | Taschenbuch | 168 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200498908 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 117948654

Bibliographic Details

• Title: Signal Classification | Comparison of Different Feature Extraction and Machine Learning Algorithms for EMG Signal Classification
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2019
• Language: English
• ISBN 10: 6200498903
• ISBN 13: 9786200498908
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 11D millimeters 220 millimeters width by 150 millimeters height by 11 millimeters depth
• Weight: 268 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

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.