Optimizing Changepoint Detection Algorithms for Cardiac Time Series Analysis and Disease Classification

Changepoint detection algorithms can reveal underlying structure in non-stationary physiological time series, enabling improved analysis and classification of health conditions. The choice of changepoint detection algorithm depends on the characteristics of the data and the downstream application.