A Short-Time Autocorrelation Method for Noncontact Detection of Heart Rate Variability Using CW Doppler Radar

Abstract

Contactless detection of human heart rate variability using radars has been a promising area for healthcare and clinical practice. In this paper, a continuous-wave 2.45 GHz Doppler radar is used for wirelessly measuring heartbeat rate and inter-beat interval variation. Relying on the characteristics of an autocorrelation function, an algorithm for heart rate variability extraction using short-time autocorrelation is proposed. The autocorrelation algorithms achieves the high accurate estimation of heartbeat inter-interval variation, compared with the Electrocardiography (ECG).