Analysis of heart rate variability (HRV) in different postures based on millimeter wave radar

Fuchuan Du; Hao Zhu; Haili Wang; Qixin Cao

doi:10.1117/12.3029215

6 May 2024 Analysis of heart rate variability (HRV) in different postures based on millimeter wave radar

Fuchuan Du, Hao Zhu, Haili Wang, Qixin Cao

Proceedings Volume 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024); 1310736 (2024) https://doi.org/10.1117/12.3029215
Event: Fourth International Conference on Sensors and Information Technology (ICSI 2024), 2024, Xiamen, China

Abstract

Non-contact vital sign health monitoring based on FMCW millimeter wave radar has received widespread attention because it can unobtrusively provide information about individuals' physical and mental states. Particularly, by continuously measuring a person's instantaneous heart rate over time, the activity level of the autonomic nervous system can be estimated. However, existing studies on non-contact measurements using millimeter wave radar typically focus only on heart rate variability under a single posture. This paper proposes a non-contact vital sign monitoring algorithm that integrates behavior recognition and heartbeat signal reconstruction. The algorithm utilizes millimeter wave radar to identify three common postures in daily life: standing, sitting, and lying down. Subsequently, it non-intrusively measures the heartbeat waveforms and conducts HRV analysis from the reconstructed heartbeat waveforms. In the study, the errors in HRV of RMSSD were 3.5ms for the sitting posture, while it is 5.8ms in the lying position, and 10.9ms in the standing posture.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Fuchuan Du, Hao Zhu, Haili Wang, and Qixin Cao "Analysis of heart rate variability (HRV) in different postures based on millimeter wave radar", Proc. SPIE 13107, Fourth International Conference on Sensors and Information Technology (ICSI 2024), 1310736 (6 May 2024); https://doi.org/10.1117/12.3029215

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KEYWORDS

Heart

Radar

Extremely high frequency

Radar signal processing

Detection and tracking algorithms

Reconstruction algorithms

Signal detection

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