Millimeter-wave radar is widely adopted for contactless heart rate monitoring in various scenarios.A heart rate estimation algorithm with two key modules is proposed to enhance accuracy of heart rate estimation.The two key modules consist of the optimal range bin selection algorithm and the adaptive parameterized symplectic geometric mode decomposition(APSGMD)algorithm based on the principle of power spectral entropy minimization(PSEM).Meanwhile

heart rate monitoring experiments are conducted adopted by the TI millimeter-wave radar.The experimental results demonstrate that the proposed algorithm achieves a phase signal-to-noise ratio of 23.54dB

with a root mean square error(RMSE)of heart rate estimation less than 2.8bpm

and significantly outperforms other existing methods in terms of heart rate estimation accuracy.