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HRVCam: robust camera-based measurement of heart rate variability
- Source :
- Journal of Biomedical Optics
- Publication Year :
- 2021
- Publisher :
- Society of Photo-Optical Instrumentation Engineers, 2021.
-
Abstract
- Significance: Non-contact, camera-based heart rate variability estimation is desirable in numerous applications, including medical, automotive, and entertainment. Unfortunately, camera-based HRV accuracy and reliability suffer due to two challenges: (a) darker skin tones result in lower SNR and (b) relative motion induces measurement artifacts. Aim: We propose an algorithm HRVCam that provides sufficient robustness to low SNR and motion-induced artifacts commonly present in imaging photoplethysmography (iPPG) signals. Approach: HRVCam computes camera-based HRV from the instantaneous frequency of the iPPG signal. HRVCam uses automatic adaptive bandwidth filtering along with discrete energy separation to estimate the instantaneous frequency. The parameters of HRVCam use the observed characteristics of HRV and iPPG signals. Results: We capture a new dataset containing 16 participants with diverse skin tones. We demonstrate that HRVCam reduces the error in camera-based HRV metrics significantly (more than 50% reduction) for videos with dark skin and face motion. Conclusion: HRVCam can be used on top of iPPG estimation algorithms to provide robust HRV measurements making camera-based HRV practical.
- Subjects :
- Paper
Computer science
Biomedical Engineering
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
01 natural sciences
Instantaneous phase
Signal
010309 optics
Biomaterials
Signal-to-noise ratio
Robustness (computer science)
Heart Rate
Photoplethysmogram
0103 physical sciences
Special Series on Wearable, Implantable, Mobile, and Remote Biomedical Optics and Photonics
Humans
Computer vision
Detection theory
Photoplethysmography
business.industry
Bandwidth (signal processing)
heart rate variability
Reproducibility of Results
Signal Processing, Computer-Assisted
pulse frequency demodulation
Atomic and Molecular Physics, and Optics
Electronic, Optical and Magnetic Materials
noncontact HRV
Artificial intelligence
business
Artifacts
Energy (signal processing)
Algorithms
imaging photoplethysmography
Subjects
Details
- Language :
- English
- ISSN :
- 15602281 and 10833668
- Volume :
- 26
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Journal of Biomedical Optics
- Accession number :
- edsair.doi.dedup.....a28acb61807005da30185981c386f3c8