A novel statistical decimal pattern-based surface electromyogram signal classification method using tunable q-factor wavelet transform

Author:

Dogan Sengul,Tuncer Turker

Publisher

Springer Science and Business Media LLC

Subject

Geometry and Topology,Theoretical Computer Science,Software

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A testosterone pattern-based sEMG signal classification method using Singular Spectrum Analysis;2023 International Conference on Computational Intelligence and Sustainable Engineering Solutions (CISES);2023-04-28

2. EMG-based Gesture Recognition using Extreme Learning Machine;2023 3rd International conference on Artificial Intelligence and Signal Processing (AISP);2023-03-18

3. A support system for automatic classification of hypertension using BCG signals;Expert Systems with Applications;2023-03

4. An accurate automated speaker counting architecture based on James Webb Pattern;Engineering Applications of Artificial Intelligence;2023-03

5. A morphology-based feature set for automated Amyotrophic Lateral Sclerosis diagnosis on surface electromyography;Biomedical Signal Processing and Control;2023-01

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