Monitoring of Heart Rate from Photoplethysmographic Signals Using a Samsung Galaxy Note8 in Underwater Environments
Open accessAbstract
Photoplethysmography (PPG) is a commonly used in determining heart rate and oxygen saturation (SpO2). However, PPG measurements and its accuracy are heavily affected by the measurement procedure and environmental factors such as light, temperature, and medium. In this paper, we analyzed the effects of different mediums (water vs. air) and temperature on the PPG signal quality and heart rate estimation. To evaluate the accuracy, we compared our measurement output with a gold-standard PPG device (NeXus-10 MKII). The experimental results show that the average PPG signal amplitude values of the underwater environment decreased considerably (22% decrease) compared to PPG signals of dry environments, and the heart rate measurement deviated 7% (5 beats per minute on average. The experimental results also show that the signal to noise ratio (SNR) and signal amplitude decrease as temperature decreases. Paired t-test which compares amplitude and heart rate values between the underwater and dry environments was performed and the test results show statistically significant differences for both amplitude and heart rate values (p < 0.05). Moreover, experimental results indicate that decreasing the temperature from 45 °C to 5 °C or changing the medium from air to water decreases PPG signal quality, (e.g., PPG signal amplitude decreases from 0.560 to 0.112). The heart rate is estimated within 5.06 bpm deviation at 18 °C in underwater environment, while estimation accuracy decreases as temperature goes down.
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A drop in 40 degrees Celsius contributed to a 12 dB drop in PPG signal amplitude.
“Askaraian et al. reported that while measuring PPG with a submerged finger of 20 healthy volunteers aged 18 to 80 years old, they found that a drop in 40 degrees Celsius contributed to a 12 dB drop in PPG signal amplitude [157].”
From Sources of inaccuracy in photoplethysmography for continuous cardiovascular monitoring (2021) · cites this paper as [157]
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- Authors
- Askarian, B., Jung, K., & Chong, J. W.
- Affiliations
- Texas Tech University (US)
- Corresponding author
- Chong, Jo Woon
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2019-06-26
- Volume
- 19
- Issue
- 13
- Pages
- 2846
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC6651860
- OpenAlex
- W2955135764
- Cited by
- 45
- References
- 37
- Citations by year
- 2026: 2 · 2025: 7 · 2024: 7 · 2023: 8 · 2022: 8 · 2021: 9 · 2020: 1 · 2019: 3
- FWCI
- 1.85
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ThinkTech (Texas Tech University) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health
- National Heart, Lung, and Blood Institute (R15HL121761)
- Topics
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Heart Rate Variability and Autonomic Control
- Physical Sciences › Computer Science › Signal Processing › Biometric Identification and Security
- Keywords
- photoplethysmography, heart rate estimation, underwater measurement, smartphone sensors, signal amplitude, signal-to-noise ratio, temperature effects, PPG signal quality
- MeSH terms
- Smartphone, Adult, Aged, Aged, 80 and over, Algorithms, Female, Heart Rate, Humans, Male, Middle Aged, Monitoring, Physiologic, Signal Processing, Computer-Assisted, Photoplethysmography, Signal-To-Noise Ratio, Healthy Volunteers
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