Application of photoplethysmography signals for healthcare systems: An in-depth review

Loh, Hui Wen; Xu, Shuting; Faust, Oliver; Ooi, Chui Ping; Barua, Prabal Datta; Chakraborty, Subrata; Tan, Ru‐San; Molinari, Filippo; Acharya, U. Rajendra

doi:10.1016/j.cmpb.2022.106677

Cited by 58 publications

(26 citation statements)

References 61 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• Plane-Orthogonal-to-Skin Algorithm (POS): remote photoplethysmography method (PPG) to extract pulsatile information from face skin pixels. Light is absorbed in a different way by blood contained in blood vessels compared to surrounding tissues [30]. This manifests itself on the surface of the skin with slight colour variations.…”

Section: A the Proposed Robot-aided Contactless Monitoring Systemmentioning

confidence: 99%

Robot-Aided Contactless Monitoring of Workers’ Cardiac Activity in Hazardous Environment

et al. 2022

View full text Add to dashboard Cite

show abstract

Section: A the Proposed Robot-aided Contactless Monitoring Systemmentioning

confidence: 99%

Robot-Aided Contactless Monitoring of Workers’ Cardiac Activity in Hazardous Environment

et al. 2022

View full text Add to dashboard Cite

show abstract

“…Photoplethysmography (PPG) is a well-known optical technique based on light scattering in tissues, for investigating human physiological parameters. This technology offers several advantages such as being easily integrated, non-invasive, inexpensive and low energy consuming 1 . It is therefore at the vanguard of probing techniques studied for new developments in health monitoring, while remaining one of the most prominent tools for monitoring cardiovascular parameters 2 .…”

Section: Introductionmentioning

confidence: 99%

Geometrically tunable fast diffuse reflectance spectroscopy for a better understanding of photoplethysmography

Blanquer

Vernay

Blandin

et al. 2023

Diffuse Optical Spectroscopy and Imaging IX

View full text Add to dashboard Cite

Photoplethysmography (PPG) is a promising optical measurement method for daily patient monitoring for a wide range of physiological parameters. Nevertheless, this measurement technique remains sensitive to external disturbances, inter/intra-subject physiology, and sensor configuration. In order to study the behavior of these optical signals, we report an original bench based on PPG measurement and Diffuse Reflectance Spectroscopy (DRS). Thanks to this setup, we are able to investigate several sensor configurations in terms of source-detector distances and wavelengths at kHz acquisition rate. These measurements are multi-wavelength in the visible and near infrared range, synchronized and performed on up to eight configurable source-detector distances (three reported in this paper). An optical calibration suited for comparative measurements is also implemented. We additionally present the first results obtained on a representative and dynamic medium. This study highlights the dependence between the optical signal measurement and the configuration of the sensor. These first results demonstrate the interest of the development of our optical bench to study in depth the complex processes occurring in heterogeneous scattering environments such as biological tissues. This work paves the way for robust, quantitative, accurate and continuous monitoring of vital signs based on PPG, and opens perspectives for physiological measurements on persons and sensor development.

show abstract

“…Photoplethysmography (PTG) is a device that monitors the quantity of light absorbed by blood vessels, blood, and tissues, which may be translated into parameters like blood flow volume fluctuation, heart rate variability, blood pressure, etc. [7]. A vast range of biological information can be gleaned from PTG signals that may be used to identify and diagnose several health issues [8].…”

Section: Introductionmentioning

confidence: 99%

Correlation of the Second Derivative of Digital Pulse Wave (DPW) with Central Obesity in Women

Byatee¹,

Yasiri²,

Gailani³

2022

PJMHS

View full text Add to dashboard Cite

Background: Obesity, as measured by body mass index (BMI) or measures of central obesity, including waist-to-hip ratio (WHR) and waist circumference, is related to higher total and cardiovascular mortality. Four systolic waves (a, b, c, and d) and one diastolic wave (e) make up the second derivative of the digital pulse wave (SDPTG), which is obtained by two mathematical differentiation of the original PTG. Objective: To find out whether the (SDDPW) is correlated with central obesity in women. Methods: 55 healthy female subjects with Body Mass Index (31.5±7.3) were included in the current study. A fingertip pulse wave transducer was used to record digital pulse waves. For automatic detection and measurement of A, B, C, D, and E waves and amplitude of the second derivative digital pulse wave, Lab Chart Pro version 7.2 was used. Height and weight were measured. Waist and hip circumference were measured. Brachial systolic and diastolic blood pressures (SBP & DBP) were measured. Results: The results showed that B/A ratio is positively and significantly affected by central obesity in terms of waist circumference (r = 0.3, P<0.037), and waist/height ratio (r = 0.31, P<0.031). Conclusion: B/A ratio is positively and significantly affected by central obesity. Keywords: Digital pulse wave (DPW), Central obesity, women

show abstract

Application of photoplethysmography signals for healthcare systems: An in-depth review

Cited by 58 publications

References 61 publications

Robot-Aided Contactless Monitoring of Workers’ Cardiac Activity in Hazardous Environment

Robot-Aided Contactless Monitoring of Workers’ Cardiac Activity in Hazardous Environment

Geometrically tunable fast diffuse reflectance spectroscopy for a better understanding of photoplethysmography

Correlation of the Second Derivative of Digital Pulse Wave (DPW) with Central Obesity in Women

Contact Info

Product

Resources

About