Contactless Radar Vital Signs Detection based on VMD Combined IWTD Algorithm DOI

Hongtao Zhao

2022 11th International Conference of Information and Communication Technology (ICTech)), Journal Year: 2024, Volume and Issue: unknown, P. 444 - 449

Published: April 12, 2024

Language: Английский

Spatial Blind Source Estimation of Respiratory Rate and Heart Rate Detection Based on Frequency-Modulated Continuous Wave Radar DOI Creative Commons

Tong Pei,

Tao Liao, Xiangkui Wan

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(4), P. 1198 - 1198

Published: Feb. 15, 2025

When detecting respiratory rate and heart in an FMCW radar room, there is a lot of static clutter white Gaussian noise generated by hardware heat loss the environment, which makes separation heartbeat signals poor. At same time, harmonic component signal frequency domain will affect estimation rate. To solve above problems, spatial blind source method was proposed to accurately estimate Firstly, weighted principal analysis (WPCA) algorithm used extract features target from IF signal, then reconstructed according different features. Then, multi-signal classification (MUSIC) convert respiration into zero avoid influence respective components on detection results. The experimental results showed that accuracy 94.51% 97.79%, respectively. Compared with traditional algorithm, stable has higher accuracy.

Language: Английский

Citations

0

A survey on machine learning approaches for vital sign monitoring using radar DOI Creative Commons

Mostafa A. Shirazi,

Sira Yongchareon, Anuradha Singh

et al.

Measurement, Journal Year: 2025, Volume and Issue: unknown, P. 117707 - 117707

Published: May 1, 2025

Language: Английский

Citations

0

Non-contact monitoring of human cardiorespiratory activity during sleep using FMCW millimeter wave radar DOI

En-Kang Wu,

Q.C. Fan, Mingchao Li

et al.

Measurement, Journal Year: 2024, Volume and Issue: 242, P. 116144 - 116144

Published: Nov. 8, 2024

Language: Английский

Citations

2

Radar-Based Heart Cardiac Activity Measurements: A Review DOI Creative Commons

Álvaro Frazão,

Pedro Pinho, Daniel Albuquerque

et al.

Sensors, Journal Year: 2024, Volume and Issue: 24(23), P. 7654 - 7654

Published: Nov. 29, 2024

In recent years, with the increased interest in smart home technology and need to remotely monitor patients due pandemic, demand for contactless systems vital sign measurements has also been on rise. One of these kinds are Doppler radar systems. Their design is composed several choices that could possibly have a significant impact their overall performance, more specifically those focused measurement cardiac activity. This review, conducted using works obtained from relevant scientific databases, aims understand performance measuring either heart rate (HR) or variability (HRV). To end, an analysis based hardware architecture, carrier frequency, distance was focusing both aforementioned parameters, signal processing trends were discussed. What found system architecture algorithms had most FMCW being best performing whereas factors like frequency did not impact.This means newer can focus cheaper, lower-frequency without any degradation, which will make research easier.

Language: Английский

Citations

2

Two-Stage Zoom FFT-Enhanced Deep Learning-Aided Weighted Scheme for Wireless Vital Sign Estimation Using Mmwave FMCW Radar DOI
Hsin‐Yuan Chang,

Yiyan Chen,

Wei‐Ho Chung

et al.

IEEE Sensors Letters, Journal Year: 2024, Volume and Issue: 8(7), P. 1 - 4

Published: July 1, 2024

Language: Английский

Citations

1

An Ingenious Heart Rate Estimation Method in Harmonic Background for FMCW Radar DOI
Xuefeng Zhou, Shisheng Guo, Guolong Cui

et al.

IEEE Transactions on Microwave Theory and Techniques, Journal Year: 2024, Volume and Issue: 73(2), P. 1235 - 1247

Published: July 26, 2024

Language: Английский

Citations

1

A Wearable Device for Dynamic Monitoring of Cerebral Blood Flow Based on Electromagnetic Coupling Sensing DOI
Lingxi Zeng, Gen Li,

Jiajie Xu

et al.

IEEE Sensors Journal, Journal Year: 2023, Volume and Issue: 23(23), P. 29571 - 29584

Published: Oct. 18, 2023

Assessment of cerebral blood flow (CBF) is essential for the prevention and management strokes. In this study, electromagnetic coupling sensor with a dual-layer planar spiral structure was designed to enhance electrical reduce detection frequency. Based on sensor, wearable device dynamic monitoring CBF established, which reflected changes in brain conductivity permittivity by measured resonant frequency (RF). The brine concentration volume sensitivity were evaluated basic performance test experiments. Its depth range tested model simulated vascular pulsation. We further studied feasibility obtain different responses corresponding various internal pressure excitations. addition, we recruited 24 healthy volunteers simultaneously monitor oxygen (CO) RF, examined pattern RF change throughout caffeine-induced disturbance. main characteristics signal after taking caffeine, effectiveness distinguish between normal abnormal states analyzed. results show that has significant linear relationship volume, sensitivities 0.0751 kHz/(g/ml) $2.2359e^{-5}$ kHz/ml, respectively. frequencies periodic correspond pulsation, 9 cm 4 cm. under intravascular pressures, average exhibits same trend variation as pressure. These indicate gadget can detect been triggered pulsation pressures. During process increased cerebrovascular stiffness decreased CO produced caffeine consumption volunteers, exhibit nonlinear downward trend. state selected based turning point short-time Fourier transform significantly from ( notation="LaTeX">${p} < 0.05$ ). illustrate sensing (ECS)-based assess immediate intracranial supply overall levels effectively.

Language: Английский

Citations

3

Enhancement of Vital Signals for UWB Through-Wall Radar Using Low-Rank and Block-Sparse Matrix Decomposition DOI Creative Commons
Xiao Liang, Shengbo Ye, Chenyang Song

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(4), P. 620 - 620

Published: Feb. 7, 2024

Ultra-wideband (UWB) vital detection radar plays an important role in post-disaster search and rescue, but the signal acquired practice is often submerged noise. In this paper, advanced processing algorithm based on low-rank block-sparse representation proposed to enhance life applications. The preprocessed echo can be decomposed into parts. alternate direction method (ADM) employed obtain part containing desired signal. We solve subproblems involved ADM using Douglas/Peaceman–Rachford (DR) monotone operator splitting method. projection applied accelerate calculation. Simulation experimental results show that outperforms existing methods terms of output signal-to-noise ratio (SNR).

Language: Английский

Citations

0

Multitarget Vital Signs Detection Based on MIMO-FMCW Radar DOI

Yuanwen Yang,

Lele Qu, Yang Yan

et al.

2022 Photonics &amp; Electromagnetics Research Symposium (PIERS), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 10

Published: April 21, 2024

Language: Английский

Citations

0

Enhanced Indoor Multi-Target Counting Based on Micro-Doppler Features with 24GHz Radar DOI

Yijie Deng,

Zongjie Cao, Lunyi Guo

et al.

IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Journal Year: 2024, Volume and Issue: unknown, P. 9513 - 9516

Published: July 7, 2024

Language: Английский

Citations

0