CRNN-Based Classification of EMG Signals for the Rehabilitation of the Human Arm
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-51224-7_5
Reference38 articles.
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3. Fatih Demir, Varun Bajaj, Melih C Ince, Sachin Taran, and Abdulkadir Şengür. Surface EMG signals and deep transfer learning-based physical action classification. Neural Computing and Applications, 31(12):8455–8462, 2019.
4. Nurhazimah Nazmi, Mohd Azizi Abdul Rahman, Shin-Ichiroh Yamamoto, Siti Anom Ahmad, Hairi Zamzuri, and Saiful Amri Mazlan. A review of classification techniques of EMG signals during isotonic and isometric contractions. Sensors, 16(8):1304, 2016.
5. Mamun Bin Ibne Reaz, M Sazzad Hussain, and Faisal Mohd-Yasin. Techniques of EMG signal analysis: detection, processing, classification and applications. Biological procedures online, 8(1):11–35, 2006.
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