title: Non-contact and noise tolerant heart rate monitoring using microwave doppler sensor and range imagery.
abstract: This paper describes a non-contact and noise-tolerant heart beat monitoring system. The proposed system comprises a microwave Doppler sensor and range imagery using Microsoft Kinect™. The possible application of the proposed system is a driver health monitoring. We introduce the sensor fusion approach to minimize the heart beat detection error. The proposed algorithm can subtract a body motion artifact from Doppler sensor output using time-frequency analysis. The body motion artifact is a crucially important problem for biosignal monitoring using microwave Doppler sensor. The body motion speed is obtainable from range imagery, which has 5-mm resolution at 30-cm distance. Measurement results show that the success rate of the heart beat detection is improved about 75% on average when the Doppler wave is degraded by the body motion artifact.
authors.forename: Daichi
authors.initials: D
authors.lastname: Matsunag
authors.forename: Shintaro
authors.initials: S
authors.lastname: Izumi
authors.forename: Keisuke
authors.initials: K
authors.lastname: Okuno
authors.forename: Hiroshi
authors.initials: H
authors.lastname: Kawaguchi
authors.forename: Masahiko
authors.initials: M
authors.lastname: Yoshimoto
mesh_terms: D000465:Algorithms; D016477:Artifacts; D004562:Electrocardiography; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D008297:Male; D008872:Microwaves; D008991:Monitoring, Physiologic / Q000379:methods*; D009068:Movement; D059629:Signal-To-Noise Ratio; D055815:Young Adult