Author:
Subhash K. M.,Paul Joseph K.,Pournami P. N.
Publisher
Springer Nature Switzerland
Reference23 articles.
1. Phinyomark, A., Scheme, E.: EMG pattern recognition in the era of big data and deep learning. Big Data Cogn. Comput. 2 (2018). https://www.mdpi.com/2504-2289/2/3/21
2. Xiong, D., Zhang, D., Zhao, X., Zhao, Y.: Deep learning for EMG-based human-machine interaction: a review. IEEE/CAA J. Automatica Sinica 8, 512–533 (2021)
3. Faust, O., Hagiwara, Y., Hong, T., Lih, O., Acharya, U.: Deep learning for healthcare applications based on physiological signals: a review. Comput. Methods Progr. Biomed. 161, 1–13 (2018)
4. Emimal, M., Jino Hans, W., Inbamalar, T., Mahiban Lindsay, N.: Recent trends in electromyography signal processing of neuromuscular diseases: an outlook. In: Advanced Computing and Intelligent Technologies: Proceedings of ICACIT 2021, pp. 1–13 (2022)
5. Pancholi, S., Joshi, A., Joshi, D.: A robust and accurate deep learning based pattern recognition framework for upper limb prosthesis using sEMG (2021). ArXiv:2106.02463