There is a lot of time series data in medical research, such as heart rate, respiration, blood pressure monitoring, etc. Selecting appropriate methods to analyze the correlation and coupling between time series, and then analyzing their association with diseases, can help to better guide clinical practice. Several common methods and indicators are introduced.