Harmonic MUSIC Method for mmWave Radar-based Vital Sign Estimation

被引：0

作者：

Hsieh, Chieh-Hsun ^{[1
]}

Tsai, Tung-Lin ^{[1
]}

Tseng, Po-Hsuan ^{[1
]}

机构：

[1] Natl Taipei Univ Technol, Dept Elect Engn, Taipei, Taiwan

来源：

2024 33RD WIRELESS AND OPTICAL COMMUNICATIONS CONFERENCE, WOCC 2024 | 2024年

关键词：

millimeter-wave radar; vital sign estimation; static clutter removal; MUSIC;

D O I：

10.1109/WOCC61718.2024.10786088

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper investigates the application of millimeter-wave (mmWave) radar for the estimation of human vital signs. Aiming to obtain more accurate frequency estimation for periodic signals of respiration and heartbeat, we propose the harmonic MUSIC (HMUSIC) algorithm to consider harmonic components for frequency estimation of vital sign signals. In the experiments, we tested different subjects' vital signs. Experimental results demonstrate that the 89-th percentile errors in respiration rate and the 88-th percentile errors in heartbeat rate are less than 3 respirations per minute and 5 beats per minute.

引用

页码：123 / 127

页数：5

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