Research on a Practical Electrocardiogram Segmentation Model

To satisfy the requirement of biomedical signal research and application, the modeling of electrocardiogram (ECG) signal becomes more and more important. A practical ECG segmentation model is introduced in this paper, which is built on the time processing. With the model, the ECG signal is divided into several pieces. Each piece has an adjustable sampling time interval and can be processed in time sequence. Also the signal amplitude can be adjusted. This is very useful in practical application. According to the sampling theorem, by changing the different sampling time intervals, simple data compression and signal extending in time coordinates are realized. Subsequent interpolation is to retain the original information and characters used for observation and analysis after extending.