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Measurement of heart rate variability using off-the-shelf smart phones
- Source :
- BioMedical Engineering
- Publisher :
- Springer Nature
-
Abstract
- Background The cardiac parameters, such as heart rate (HR) and heart rate variability (HRV), are very important physiological data for daily healthcare. Recently, the camera-based photoplethysmography techniques have been proposed for HR measurement. These techniques allow us to estimate the HR contactlessly with low-cost camera. However, the previous works showed limit success for estimating HRV because the R–R intervals, the primary data for HRV calculation, are sensitive to noise and artifacts. Methods This paper proposed a non-contact method to extract the blood volume pulse signal using a chrominance-based method followed by a proposed CWT-based denoising technique. The R–R intervals can then be obtained by finding the peaks in the denoised signal. In this paper, we taped 12 video clips using the frontal camera of a smart phone with different scenarios to make comparisons among our method and the other alternatives using the absolute errors between the estimated HRV metrics and the ones obtained by an ECG-accurate chest band. Results As shown in experiments, our algorithm can greatly reduce absolute errors of HRV metrics comparing with the related works using RGB color signals. The mean of absolute errors of HRV metrics from our method is only 3.53 ms for the static-subject video clips. Conclusions The proposed camera-based method is able to produce reliable HRV metrics which are close to the ones measured by contact devices under different conditions. Thus, our method can be used for remote health monitoring in a convenient and comfortable way.
- Subjects :
- Adult
Male
Blood volume pulse
Movement
0206 medical engineering
Cardiac physiology
Biomedical Engineering
02 engineering and technology
Signal-To-Noise Ratio
computer.software_genre
01 natural sciences
010309 optics
Biomaterials
Young Adult
Heart Rate
Photoplethysmogram
0103 physical sciences
Heart rate
Humans
Off the shelf
Heart rate variability
Medicine
Radiology, Nuclear Medicine and imaging
Computer vision
Heart Function Tests
Radiological and Ultrasound Technology
business.industry
Research
Non-contact photoplethysmography
General Medicine
020601 biomedical engineering
Female
Smartphone
Noise (video)
Data mining
Artificial intelligence
business
computer
Algorithms
circulatory and respiratory physiology
Subjects
Details
- Language :
- English
- ISSN :
- 1475925X
- Volume :
- 15
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- BioMedical Engineering OnLine
- Accession number :
- edsair.doi.dedup.....d51b7d3a213017eb744b7d8df9be9f31
- Full Text :
- https://doi.org/10.1186/s12938-016-0127-8