A quantitative classification of essential and Parkinson's tremor using wavelet transform and artificial neural network on sEMG and accelerometer signals

Santosh Kumar Nanda, Wen-Yen Lin, Ming-Yih Lee, Rou-Shayn Chen. A quantitative classification of essential and Parkinson's tremor using wavelet transform and artificial neural network on sEMG and accelerometer signals. In 12th IEEE International Conference on Networking, Sensing and Control, ICNSC 2015, Taipei, Taiwan, April 9-11, 2015. pages 399-404, IEEE, 2015. [doi]