Research Progress in Millimeter Wave Radar-Based non-contact Sleep Monitoring - A Review
Author:
Affiliation:
1. Hunan University,ChangSha,Hunan,China
2. Southwest Jiaotong University,Chengdu,Sichuan,China
3. Mercku Inc,Toronto,ON,Canada,M3J 0G7
4. Hosei University,Faculty of Computer and Information Sciences,Tokyo,Japan,184-8584
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9752774/9752691/09753424.pdf?arnumber=9753424
Reference14 articles.
1. Precise Heart Rate Measurement Using Non-contact Doppler Radar Assisted by Machine-Learning-Based Sleep Posture Estimation
2. Wireless Sleep Apnea Detection Using Continuous Wave Quadrature Doppler Radar
3. Obstructive Sleep Apnea (OSA) Events Classification by Effective Radar Cross Section (ERCS) Method Using Microwave Doppler Radar and Machine Learning Classifier
4. Deep Recurrent Neural Networks for ECG Signal Denoising;antczak;ArXiv Preprint,2018
5. IoT applications for monitoring companion animals: A systematic literature review
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1. IoT-V2E: An Uncertainty-Aware Cross-Modal Hashing Retrieval Between Infrared-Videos and EEGs for Automated Sleep State Analysis;IEEE Internet of Things Journal;2024-02-01
2. APNIWAVE: An Efficient Radar-Based Sleep-Apnea Screening Device for Use at Home;2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST);2023-06-28
3. Noncontact Heart Rate Variability Monitoring Based on FMCW Radar;Intelligent Robotics and Applications;2023
4. Parallel Radars: From Digital Twins to Digital Intelligence for Smart Radar Systems;Sensors;2022-12-16
5. Non-Contact VITAL Signs Monitoring of a Patient Lying on Surgical Bed Using Beamforming FMCW Radar;Sensors;2022-10-25
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