| Abstract |
Biomedical signal processing is challenging when the source of the signal data is inside the organism. The pattern of electrocardiography and blood pressure data developed naturally over millions of years of evolution. Without prior knowledge of this nature law, we rely on the mathematical tool, differentiation, to build the model and to design signal processing tool. I will present the modern development of manifold learning, its real world application, and the scalable performance with respect to input data. |
