Establishing Best Practices in Photoplethysmography Signal Acquisition and Processing

Overview

Journal Physiol Meas

Specialties Biomedical Engineering
Biophysics
Physiology

Date 2022 May 4

PMID 35508148

Authors

Peter H Charlton

Kristjan Pilt

Panicos A Kyriacou

Affiliations

Soon will be listed here.

Abstract

Photoplethysmography is now widely utilised by clinical devices such as pulse oximeters, and wearable devices such as smartwatches. It holds great promise for health monitoring in daily life. This editorial considers whether it would be possible and beneficial to establish best practices for photoplethysmography signal acquisition and processing. It reports progress made towards this, balanced with the challenges of working with a diverse range of photoplethysmography device designs and intended applications, each of which could benefit from different approaches to signal acquisition and processing. It concludes that there are several potential benefits to establishing best practices. However, it is not yet clear whether it is possible to establish best practices which hold across the range of photoplethysmography device designs and applications.

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References

Li Q, Li Q, Cakmak A, Da Poian G, Bliwise D, Vaccarino V . Transfer learning from ECG to PPG for improved sleep staging from wrist-worn wearables. Physiol Meas. 2021; 42(4). PMC: 8564719. DOI: 10.1088/1361-6579/abf1b0. View

Ouyang V, Ma B, Pignatelli N, Sengupta S, Sengupta P, Mungulmare K . The use of multi-site photoplethysmography (PPG) as a screening tool for coronary arterial disease and atherosclerosis. Physiol Meas. 2020; 42(6). DOI: 10.1088/1361-6579/abad48. View

Orphanidou C, Bonnici T, Charlton P, Clifton D, Vallance D, Tarassenko L . Signal-quality indices for the electrocardiogram and photoplethysmogram: derivation and applications to wireless monitoring. IEEE J Biomed Health Inform. 2014; 19(3):832-8. DOI: 10.1109/JBHI.2014.2338351. View

Behar J, Liu C, Kotzen K, Tsutsui K, Corino V, Singh J . Remote health diagnosis and monitoring in the time of COVID-19. Physiol Meas. 2020; 41(10):10TR01. PMC: 9364387. DOI: 10.1088/1361-6579/abba0a. View

Muhlen J, Stang J, Skovgaard E, Judice P, Molina-Garcia P, Johnston W . Recommendations for determining the validity of consumer wearable heart rate devices: expert statement and checklist of the INTERLIVE Network. Br J Sports Med. 2021; 55(14):767-779. PMC: 8273688. DOI: 10.1136/bjsports-2020-103148. View

Lin W, Li X, Li Y, Li G, Chen F . Investigating the physiological mechanisms of the photoplethysmogram features for blood pressure estimation. Physiol Meas. 2020; 41(4):044003. DOI: 10.1088/1361-6579/ab7d78. View

Mohagheghian F, Han D, Peitzsch A, Nishita N, Ding E, Dickson E . Optimized Signal Quality Assessment for Photoplethysmogram Signals Using Feature Selection. IEEE Trans Biomed Eng. 2022; 69(9):2982-2993. PMC: 9478959. DOI: 10.1109/TBME.2022.3158582. View

Peralta E, Lazaro J, Bailon R, Marozas V, Gil E . Optimal fiducial points for pulse rate variability analysis from forehead and finger photoplethysmographic signals. Physiol Meas. 2019; 40(2):025007. DOI: 10.1088/1361-6579/ab009b. View

Lee J, Jang D, Park S, Cho S . A Low-Power Photoplethysmogram-Based Heart Rate Sensor Using Heartbeat Locked Loop. IEEE Trans Biomed Circuits Syst. 2018; 12(6):1220-1229. DOI: 10.1109/TBCAS.2018.2876671. View

10.

Scardulla F, DAcquisto L, Colombarini R, Hu S, Pasta S, Bellavia D . A Study on the Effect of Contact Pressure during Physical Activity on Photoplethysmographic Heart Rate Measurements. Sensors (Basel). 2020; 20(18). PMC: 7570982. DOI: 10.3390/s20185052. View

11.

Fallow B, Tarumi T, Tanaka H . Influence of skin type and wavelength on light wave reflectance. J Clin Monit Comput. 2013; 27(3):313-7. DOI: 10.1007/s10877-013-9436-7. View

12.

Radha M, de Groot K, Rajani N, Wong C, Kobold N, Vos V . Estimating blood pressure trends and the nocturnal dip from photoplethysmography. Physiol Meas. 2019; 40(2):025006. DOI: 10.1088/1361-6579/ab030e. View

13.

Stergiou G, Alpert B, Mieke S, Asmar R, Atkins N, Eckert S . A Universal Standard for the Validation of Blood Pressure Measuring Devices: Association for the Advancement of Medical Instrumentation/European Society of Hypertension/International Organization for Standardization (AAMI/ESH/ISO) Collaboration.... Hypertension. 2018; 71(3):368-374. DOI: 10.1161/HYPERTENSIONAHA.117.10237. View

14.

Esmaelpoor J, Moradi M, Kadkhodamohammadi A . Cuffless blood pressure estimation methods: physiological model parameters versus machine-learned features. Physiol Meas. 2021; 42(3). DOI: 10.1088/1361-6579/abeae8. View

15.

Anderson R, Parrish J . The optics of human skin. J Invest Dermatol. 1981; 77(1):13-9. DOI: 10.1111/1523-1747.ep12479191. View

16.

Chandrasekhar A, Yavarimanesh M, Natarajan K, Hahn J, Mukkamala R . PPG Sensor Contact Pressure Should Be Taken Into Account for Cuff-Less Blood Pressure Measurement. IEEE Trans Biomed Eng. 2020; 67(11):3134-3140. PMC: 8856571. DOI: 10.1109/TBME.2020.2976989. View

17.

Xing X, Ma Z, Xu S, Zhang M, Zhao W, Song M . Blood pressure assessment with in-ear photoplethysmography. Physiol Meas. 2021; 42(10). DOI: 10.1088/1361-6579/ac2a71. View

18.

Radin J, Wineinger N, Topol E, Steinhubl S . Harnessing wearable device data to improve state-level real-time surveillance of influenza-like illness in the USA: a population-based study. Lancet Digit Health. 2020; 2(2):e85-e93. PMC: 8048388. DOI: 10.1016/S2589-7500(19)30222-5. View

19.

Pilt K, Ferenets R, Meigas K, Lindberg L, Temitski K, Viigimaa M . New photoplethysmographic signal analysis algorithm for arterial stiffness estimation. ScientificWorldJournal. 2013; 2013:169035. PMC: 3747602. DOI: 10.1155/2013/169035. View

20.

Elgendi M . Detection of c, d, and e waves in the acceleration photoplethysmogram. Comput Methods Programs Biomed. 2014; 117(2):125-36. DOI: 10.1016/j.cmpb.2014.08.001. View