Fast Acquisition and Accurate Vital Sign Estimation with Deep Learning-Aided Weighted Scheme Using FMCW Radar
Author:
Affiliation:
1. National Tsing Hua University,Department of Electrical Engineering,Taiwan
Funder
Center for Information Technology
Academia Sinica
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9860273/9860350/09860799.pdf?arnumber=9860799
Reference15 articles.
1. Target Range Selection of FMCW Radar for Accurate Vital Information Extraction
2. Comparative Study of Radar Architectures for Human Vital Signs Measurement
3. Newtonized Orthogonal Matching Pursuit: Frequency Estimation Over the Continuum
4. Non-contact measurement of heart and respiration rates with a single-chip microwave doppler radar;droitcour;Stanford Univ,2006
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1. Two-Stage Zoom FFT-Enhanced Deep Learning-Aided Weighted Scheme for Wireless Vital Sign Estimation Using mmWave FMCW Radar;IEEE Sensors Letters;2024-07
2. Millimeter-Wave Radar-Based Identity Recognition Algorithm Built on Multimodal Fusion;Sensors;2024-06-21
3. HeartBeatNet: Enhancing Fast and Accurate Heart Rate Estimation With FMCW Radar and Lightweight Deep Learning;IEEE Sensors Letters;2024-04
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