1. Beniczky, S., Conradsen, I., Henning, O., Fabricius, M., Wolf, P.: Automated real-time detection of tonic-clonic seizures using a wearable EMG device. J. Neurol. 90, 428–434 (2018)
2. Benalcázar, M.E., Jaramillo, A.G., Jonathan, A.Z., Páez, A., Andaluz, V.H.: Hand gesture recognition using machine learning and the Myo armband. In: Proceedings of European Signal Processing Conference (EUSIPCO), pp. 1040–1044 (2017)
3. Saponas, T.S., Tan, D.S., Morris, D., Balakrishnan, R., Turner, J., Landay, J.A.: Enabling always-available input with muscle-computer interfaces. In: Proceedings of ACM Symposium on User Interface Software and Technology (UIST), pp. 167–176 (2009)
4. Xia, P., Hu, J., Peng, Y.: EMG-based estimation of limb movement using deep learning with recurrent convolutional neural networks: EMG-based estimation of limb movement. Artif. Organs 42(5), E67–E77 (2018). https://doi.org/10.1111/aor.13004
5. Zhang, Q., Hosoda, R., Venture, G.: Human joint motion estimation for electromyography (EMG)-based dynamic motion control. In: Proceedings of IEEE Engineering in Medicine and Biology Society (EMBC), pp. 21–24 (2013)