Abstract: Abstracts: In order to achieve a non-contact high-precision vital signs measurement method, this paper proposes an optimized variational modal decomposition method for heartbeat signal separation and reconstruction. Through a series of signal preprocessing methods, such as target identification, phase extraction, phase differencing, phase smoothing, etc., the bandpass filter is designed according to the frequency of the heart rate, and the parameters of the VMD are optimized by using the grey wolf optimization algorithm and the fuzzy entropy function, and finally, the spectral refinement of the heart rate component is performed by using chirp Z-transform to obtain the actual heart rate, which is compared with the actual electrocardiographic monitoring equipment and a variety of algorithmic Experiments are conducted to verify the superiority of this paper's algorithm. After 334 sets of experiments, the root-mean-square error of this paper is 2.59, and the average absolute percentage error is 2.65%, which shows that the method proposed in this paper is excellent in accuracy and real-time performance.