Detection of Heartbeat Components Through Doppler Radar Systems Using Semantic Segmentation and Non-Harmonic Analysis
The spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to an increased focus on the routine analysis of vital signs such as breathing and pulse rates. Radar technology has proven effective for non-contact, long-term monitoring of these vital signs, with frequency analysis...
Main Authors: | Ryota Goto, Taichi Horimoto, Shotaro Koyama, Tsubasa Suzuki, Junpei Tsutsumi, Taisei Matsuyama, Masaya Hasegawa, Shigeki Hirobayashi, Kazuo Yoshida |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10445474/ |
Similar Items
-
Heartbeat Harmonics Detectability During Driving Simulation Using NHA and CW Doppler Radar
by: Taichi Horimoto, et al.
Published: (2023-01-01) -
Analysis of a Dynamic Calibration Target for Through-Wall and Through-Rubble Motion Sensing Doppler Radar
by: Ram M. Narayanan, et al.
Published: (2021-12-01) -
Design of a Hybrid Radar Sensor to Monitor the Behavior of a Projectile in a Circular Tube
by: Myung-Suk Jung, et al.
Published: (2023-01-01) -
Radar micro-Doppler signatures : processing and applications /
by: Chen, Victor C., et al.
Published: (2014) -
The micro-doppler effect in radar /
by: 197431 Chen, Victor C.
Published: (c201)