This invention relates to the field of cardiac function monitoring technology, specifically to a method and
system for remote monitoring of cardiac function in cardiovascular patients undergoing home
rehabilitation. The method includes the following steps: acquiring continuous electrocardiogram (ECG) signals and extracting R-wave peak values and time-
series data; differentially eliminating unstable
noise points to screen effective resting amplitude sequences; dividing day and night subsets by time and calculating their means to form a myocardial contraction baseline pair; calculating the relative residuals of the day and night components and extracting myocardial contractile reserve features through a sigmoid transformation; mapping these features to a cardiac function
state space to calculate the
abnormality level and generate cardiovascular remote monitoring and early warning results. In this invention, by continuously acquiring ECG signals and extracting R-wave features, a stable representation of dynamic cardiac changes is formed, improving the continuity and reliability of
monitoring data. Based on the effective resting amplitude sequence, day and night physiological states are distinguished and analyzed separately to construct an assessment basis that conforms to physiological rhythms. By comparing day and night myocardial contraction features, changes in contractile reserve are characterized, achieving
risk identification and refined expression of monitoring results.