Author:
Emimal M.,Jino Hans W.,Inbamalar T. M.,Mahiban Lindsay N.
Reference29 articles.
1. Perretta, R.: A preliminary study in EMG based Upper-Limb Stroke Rehabilitation. Masters Thesis
2. Park, S.-H., Lee, S.-P.: EMG pattern recognition based on artificial intelligence techniques. IEEE Trans. Rehabil. Eng. 6(4) (1998)
3. Khokhar, Z.O., Xiao, Z.G., Menon, C.: Surface EMG pattern recognition for real-time control of a wrist exoskeleton. BioMed. Eng. OnLine 9(41) (2010). http://www.biomedical-engineeringonline.com/content/9/1/41
4. Khowailed, I.A., Abotabl, A.: Neural muscle activation detection: a deep learning approach using surface electromyography. J. Biomech. www.elsevier.com/locate/jbiomech, www.JBiomech.com
5. Yang, W., Yang, D., Liu, Y., Liu, H.: EMG pattern recognition using convolutional neural network with different scale signal/spectra input. Int. J. Hum. Robot. 16(4), 1950013 (2019). https://doi.org/10.1142/s0219843619500130. (World Scientific Publishing Company)
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