The invention discloses a dynamic electrocardiogram (ECG)
T wave alternate quantitative
analysis method based on models, which belongs to the technical field of
biomedical signal processing. The dynamic electrocardiogram (ECG)
T wave alternate quantitative
analysis method includes steps of preprocessing 12 lead
ambulatory electrocardiograms of a patient at first and removing random disturbance including
baseline drift,
power frequency disturbance, myoelectricity
noise and the like; building various channel electrocardiosignal
state space models and realizing robust
estimation to electrocardiosignal waveforms by the aid of a dynamic multi-scale state
estimation theory; applying a multi-sensor data fusion method to realize
T wave fusion extraction and realizing T wave quantitative description; and finally realizing quantitative analysis for T wave alternate signals according to the analytic function of T
waves. The dynamic electrocardiogram T wave alternate quantitative
analysis method has the advantages that on the basis of the electrocardiosignal state spatial models, T wave quantitative analysis is realized at first, then dynamic electrocardiogram T wave alternate real-time detection and analysis are realized, and accordingly the dynamic electrocardiogram T wave alternate quantitative analysis method is convenient for catching T wave alternate electrocardio abnormal conditions suddenly caused in daily life and increases detecting level and diagnosis ability to patients in danger of
sudden cardiac death.