Automated Machine Learning for the Classification of Normal and Abnormal Electromyography Data
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9377717/9377728/09377780.pdf?arnumber=9377780
Cited by 5 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. The role of artificial intelligence in electrodiagnostic and neuromuscular medicine: Current state and future directions;Muscle & Nerve;2023-12-27
2. Distinguishing normal, neuropathic and myopathic EMG with an automated machine learning approach;Clinical Neurophysiology;2023-02
3. A morphology-based feature set for automated Amyotrophic Lateral Sclerosis diagnosis on surface electromyography;Biomedical Signal Processing and Control;2023-01
4. Residual one-dimensional convolutional neural network for neuromuscular disorder classification from needle electromyography signals with explainability;Computer Methods and Programs in Biomedicine;2022-11
5. Complexity measures, an analysis for electromyography and its possible application to spinal cord injuries;Signa Vitae;2022
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