A Vital Signs Intelligent Detection Framework of FMCW MIMO Radar Based on 3-D Beamforming and Muli-site Fusion of Heartbeat Signals

This paper presents a framework for frequency modulated continuous wave (FMCW) multiple input multiple output (MIMO) radar non-contact vital sign monitoring to achieve accurate heart rate (HR) in low SNR environments. The framework consists of two main parts. The first part includes a 3-D cardiac beamformer based on heartbeat signal quality, which is a beamformer composed of the distance dimension, azimuth and zenith angles. Proposed a new beamformer method and combined with the heart signal quality evaluation model to focus the radar array beam on the human heart to improve the signal quality. The second part proposed the multipart signal fusion (MSF) method, which fuses the reflection intensity of different parts of the trunk to improve the signal-to-noise ratio, thereby improving the performance of BR and HR. Finally, the HR and BR signals are separated by filter.

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Publication Details

Published
2024-11-22
DOI
https://doi.org/10.1109/icsidp62679.2024.10868323
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00

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article

A Vital Signs Intelligent Detection Framework of FMCW MIMO Radar Based on 3-D Beamforming and Muli-site Fusion of Heartbeat Signals

Pengcheng Gong, Zijia Wang
Non-Invasive Vital Sign Monitoring
article

A Vital Signs Intelligent Detection Framework of FMCW MIMO Radar Based on 3-D Beamforming and Muli-site Fusion of Heartbeat Signals

Pengcheng Gong, Zijia Wang
article en

Abstract

This paper presents a framework for frequency modulated continuous wave (FMCW) multiple input multiple output (MIMO) radar non-contact vital sign monitoring to achieve accurate heart rate (HR) in low SNR environments. The framework consists of two main parts. The first part includes a 3-D cardiac beamformer based on heartbeat signal quality, which is a beamformer composed of the distance dimension, azimuth and zenith angles. Proposed a new beamformer method and combined with the heart signal quality evaluation model to focus the radar array beam on the human heart to improve the signal quality. The second part proposed the multipart signal fusion (MSF) method, which fuses the reflection intensity of different parts of the trunk to improve the signal-to-noise ratio, thereby improving the performance of BR and HR. Finally, the HR and BR signals are separated by filter.

Wuhan Institute of Technology (CN)
Research and Development
Affordable and clean energy
Openalex Percentile: Top 76%
Non-Invasive Vital Sign Monitoring
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