utilities for Kalman filtering, unscented filtering, particle filtering, and miscillaneous other things. This code is stable and fast. -utilities for Kalman filtering, unscented filtering, particle filtering, miscillaneous and other things. This code

利用bp神经网络的方法来实现ecg信号st段的模式识别。-The use of bp neural network approach to the realization of ecg signal st paragraph of pattern recognition.

This folder contains the following sub-folders which are essential in our project: 1.Raw Data All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St. 2.Filter Filter to rule out signal of Channel