RETRACTED: Optimized wavelet and feature set of EEG signal for Parkinson disease classification
Author:
Affiliation:
1. Faculty of Electronics and Communication Engineering, Anna University, Chennai, India
2. Department of ECE, Rathinam Technical Campus, Coimbatore
3. Faculty of Technology, RathinamTechnical Campus, Anna University, Chennai, India
Abstract
Publisher
IOS Press
Reference23 articles.
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2. Kour N. , Gupta S. and Arora S. , A vision-based clinical analysis for classification of knee osteoarthritis, Parkinson’s disease and normal gait with severity based on k-nearest neighbour, Expert Systems 39 (2022).
3. Adem H.M. , Tessema A. and Simegn G.L. , Classification of Parkinson’s disease using EMG signals from different upper limb movements based on multiclass support vector machine,, International Journal Bioautomation (2022).
4. Channa A. , Cramariuc O. , Memon M. , Popescu N. , Mammone N. and Ruggeri G. , Parkinson’s disease resting tremor severity classification using machine learning with resampling techniques, Frontiers in Neuroscience 16 (2022).
5. Classification of Parkinson’s disease patients and effectiveness of medication for freezing of gait,;Beigi;2022 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB),2022
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