Engagement-Free and Contactless Bed Occupancy and Vital Signs Monitoring

This paper presents the design and evaluation of an engagement-free and contactless vital signs and occupancy monitoring system called BedDot. While many existing works demonstrated contactless vital signs estimation, they do not address the practical challenge of environment noises, online bed occu...

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Bibliographic Details
Published in:IEEE internet of things journal 2024-03, Vol.11 (5), p.1-1
Main Authors: Song, Yingjian, Li, Bingnan, Luo, Dan, Xie, Zaipeng, Phillips, Bradley G., Ke, Yuan, Song, Wenzhan
Format: Article
Language:English
Subjects:
Algorithms
bed occupancy
Contactless Monitoring
Estimation
Feature extraction
Heart beat
Heart rate
inter-beat interval
Monitoring
Motion perception
Quality assessment
Respiratory rate
Signal processing
Signal quality
sleep
Sleep apnea
Telemedicine
Vibrations
Vital Signs
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Summary:This paper presents the design and evaluation of an engagement-free and contactless vital signs and occupancy monitoring system called BedDot. While many existing works demonstrated contactless vital signs estimation, they do not address the practical challenge of environment noises, online bed occupancy detection and data quality assessment in the real-world environment. This work presents a robust signal quality assessment algorithm consisting of three parts: bed occupancy detection, movement detection, and heartbeat detection, to identify high-quality data. It also presents a series of innovative vital signs estimation algorithms that leverage the advanced signal processing and Bayesian theorem for contactless heart rate (HR), respiration rate (RR), and inter-beat interval (IBI) estimation. The experimental results demonstrate that BedDot achieves over 99% accuracy for bed occupancy detection, and MAE of 1.38 BPM, 1.54 BPM, and 24.84 ms for HR, RR, and IBI estimation, respectively, compared with an FDA-approved device. The BedDot system has been extensively tested with data collected from 75 subjects for more than 80 hours under different conditions, demonstrating its generalizability across different people and environments.
ISSN:2327-4662
2327-4662
DOI:10.1109/JIOT.2023.3316674