China, Tsinghua University
Our team overcomes the difficulties of quantitative diagnosis of Parkinson’s disease. Combining deep learning with signal processing, we utilize the convolutional neural network to extract features from Parkinson’s disease patients’ surface electromyography and then grade their states according to a nonlinear classifier. With this method, doctors are able to give the right therapy to patients. Meanwhile, our diagnostic instrument is small and light, easy to be used both in hospitals and at home. Its portability makes it a highly useful and practical invention.
We are team ShowNM from Tsinghua University, passionate about AI and machine learning. We believe that better AI can create a better life.