Cross-correlation based feature extraction from EMG signals for classification of neuro-muscular diseases
Author:
Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/7843572/7859657/07859710.pdf?arnumber=7859710
Cited by 16 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. Assessment of Different Signal Processing Techniques for Classifying Induction Motor Faults Using PCA Features: A Comparative Analysis;Journal of The Institution of Engineers (India): Series B;2023-11-20
2. Cross-correlation for Dynamic Predictive Sampling Signals in Biomedical Signal Acquisition;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19
3. Machine-learning-based bridge damage detection using train-borne measurements;Proceedings of the Institution of Civil Engineers - Smart Infrastructure and Construction;2023-04-25
4. A Novel Application of Deep Learning (Convolutional Neural Network) for Traumatic Spinal Cord Injury Classification Using Automatically Learned Features of EMG Signal;Sensors;2022-11-03
5. Neuromuscular disease detection based on feature extraction from time–frequency images of EMG signals employing robust hyperbolic Stockwell transform;International Journal of Imaging Systems and Technology;2022-01-25
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