Abstract
The monitoring of respiratory rate (RR), heart rate (HR), heart rate variability (HRV), and blood pressure (BP) during sleep allows for a comprehensive evaluation of sleep quality, facilitating the understanding and improvement of a person's sleep health. Contactless physiological monitoring using cameras has gained popularity recently due to its convenient, infection-free, continuous, and versatile nature. However, the privacy concerns limit the application of camera-based solutions in sleep monitoring setups. This study proposes a novel hybrid setup that integrates camera-based seismocardiography (CamSCG) and photoplethysmography (CamPPG) for contactless measurement of RR, HR and HRV during sleep while simultaneously estimating BP. For the proximal SCG, we employed camera-based laser speckle vibrometry to measure cardiac motions from the chest, and benchmarked it with a millimeter-wave radar (RFSCG). For the distal PPG, a defocused camera was utilized to measure pulse signals from the facial skin while protecting privacy. In this setup, we analyzed the single-modality in measuring RR, HR and HRV, and established two bi-modalities (CamSCG-CamPPG and RFSCG-CamPPG) to measure Pulse Transit Time (PTT) features for BP calibration. The benchmark involving 19 subjects highlights the potential of camera-based bimodal SCG-PPG for privacy-protected vital signs monitoring during sleep.
| Original language | English |
|---|---|
| Pages (from-to) | 4375-4389 |
| Number of pages | 15 |
| Journal | IEEE Internet of Things Journal |
| Volume | 12 |
| Issue number | 4 |
| Early online date | 23 Oct 2024 |
| DOIs | |
| Publication status | Published - 15 Feb 2025 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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SDG 9 Industry, Innovation, and Infrastructure
User-Defined Keywords
- Camera
- photoplethysmography
- seismocardiogram
- sleep monitoring
- vital signs monitoring
- millimeter-wave (mmWave) radar
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