ViMo: Multiperson Vital Sign Monitoring Using Commodity Millimeter-Wave Radio
- 22 June 2020
- journal article
- research article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Internet of Things Journal
- Vol. 8 (3) , 1294-1307
Abstract
The continuous development of 802.11ad technology provides new opportunities in wireless sensing. In this work, we propose ViMo, a calibration-free remote Vital sign Monitoring system that can detect stationary/non-stationary users and estimate the respiration rates (RRs) as well as heart rates (HRs) built upon a commercial 60GHz WiFi. The design of ViMo consists of two key components. First, we design an adaptive object detector that can identify static objects, stationary human subjects and human in motion without any calibration. Second, we devise a robust HR estimator, which eliminates the respiration signal from the phase of the channel impulse response (CIR) to remove the interference of the harmonics from breathing and adopts dynamic programming (DP) to resist the random measurement noise. The influence of different settings, including the distance between human and the device, user orientation and incidental angle, blockage material, body movement and conditions of multi-user separation are investigated by extensive experiments. Experimental results show that ViMo monitors user’s vital signs accurately, with a median error of 0.19 BPM and 0.92 BPM, respectively, for RR and HR estimation.Keywords
This publication has 39 references indexed in Scilit:
- Radios as SensorsIEEE Internet of Things Journal, 2016
- Standoff CW radar for through-the-wall detection of human heartbeat signatures2016
- Hitchhike: A Preamble-Based Control Plane for SNR-Sensitive Wireless NetworksIEEE Transactions on Wireless Communications, 2015
- UbiBreathe2015
- Non-Invasive Detection of Moving and Stationary Human With WiFiIEEE Journal on Selected Areas in Communications, 2015
- Smart Homes that Monitor Breathing and Heart Rate2015
- TROIKA: A General Framework for Heart Rate Monitoring Using Wrist-Type Photoplethysmographic Signals During Intensive Physical ExerciseIEEE Transactions on Biomedical Engineering, 2014
- Doppler radar vital sign detection with random body movement cancellation based on adaptive phase compensation2013
- Three-dimensional reconstruction of cardiac displacement patterns on the chest wall during the P, QRS and T-segments of the ECG by laser speckle inteferometryMedical & Biological Engineering & Computing, 1989
- 2. The Basis Property of B-Splines1973