Radar-Based Pulse Wave Sensing at Multiple Sites Using a 3-D Human Model

This study proposes a sensing method using a millimeter-wave array radar and a depth camera to measure pulse waves at multiple sites on the human body. Using a 3-D shape model of the target human body measured by the depth camera, the method identifies reflection sites on the body through electromagnetic scattering simulation. On the basis of the simulation, the radar system can be positioned at a suitable location for measuring pulse waves depending on the posture of the target person. Through measurements using radar and depth camera systems, we demonstrate that the proposed method can estimate the body displacement waveform caused by pulse waves accurately, improving the accuracy by 14% compared with a conventional approach without a depth camera. The proposed method can be a key to realizing an accurate and noncontact sensor for monitoring blood pressure.

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Publication Details

Journal
IEEE Sensors Journal
Published
2024-12-24
DOI
https://doi.org/10.1109/jsen.2024.3519571
Citations
2
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.37

Funders

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article

Radar-Based Pulse Wave Sensing at Multiple Sites Using a 3-D Human Model

Takehito Koshisaka, Takuya Sakamoto
2 citations
IEEE Sensors Journal
Non-Invasive Vital Sign Monitoring
0.37
article

Radar-Based Pulse Wave Sensing at Multiple Sites Using a 3-D Human Model

Takehito Koshisaka, Takuya Sakamoto
article en
2 citations

Abstract

This study proposes a sensing method using a millimeter-wave array radar and a depth camera to measure pulse waves at multiple sites on the human body. Using a 3-D shape model of the target human body measured by the depth camera, the method identifies reflection sites on the body through electromagnetic scattering simulation. On the basis of the simulation, the radar system can be positioned at a suitable location for measuring pulse waves depending on the posture of the target person. Through measurements using radar and depth camera systems, we demonstrate that the proposed method can estimate the body displacement waveform caused by pulse waves accurately, improving the accuracy by 14% compared with a conventional approach without a depth camera. The proposed method can be a key to realizing an accurate and noncontact sensor for monitoring blood pressure.

IEEE Sensors JournalVol. 25(3)
Kyoto University (JP)
Secom Science and Technology Foundation, Japan Society for the Promotion of Science, JST-Mirai Program, Moonshot Research and Development Program
Openalex Percentile: Top 41%
Non-Invasive Vital Sign Monitoring
0.37
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