Extracting Cardiac Dynamics for Cardiac Function Monitoring in Exercise Training

摘要

Myocardial ischemia(MI) is a common cardiovascular disease, which seriously threatens people's life and health. Therefore, it is of great significance to study the early detection of MI by electrocardiogram(ECG). In recent years, a new method of ECG analysis called the Cardiodynamicsgram(CDG) has been proposed. This method is used to assist in diagnosing MI and has been well validated in clinical practice. In this paper, we designed an CDG system. Deterministic learning theory and Spatio-temporal Lempel-Ziv complexity algorithm are used as the theoretical basis. The system is divided into: 1, ECG data acquisition and preprocessing; 2, ST-T segment interception; 3, CDG calculation; 4, CDG feature extraction. Finally, the characteristics of CDG were used in the analysis of exercise training, and some results with research significance were obtained.