Open-source synthetic photoplethysmographic signal generator with analog output

The photoplethysmographic (PPG) signal of the finger is being used to create embedded devices that estimate physiological variables. This project outlines an innovative method for developing a synthetic PPG generator that produces both actual reference digital signals and their equivalent analog signals using open-source technology. A series of PPG profiles is synthesized using three variant Gaussian functions. A low-frequency trend induced by respiratory frequency and background noise are then added. To generate a diverse range of continuously variable PPG profiles within specified boundaries and customizable levels of interference, all parameters undergo random fluctuations on a cycle-by-cycle basis, as per user-defined constraints. The generated signal is then converted into its equivalent analog form through the use of an RC filter that low-frequency filters a Pulse-Width Modulation square wave that is modulated directly by the generated signal. The software returns different PPG profiles and allows the signal comparison before vs after the addition of different-intensity modulated respiratory trends and background noise. The digital signal is faithfully converted into an equivalent analog voltage signal capable of reproducing not only the waveform profile but also the respiratory trend and various levels of noise.

Authors

Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
Published
2024-08-10
DOI
https://doi.org/10.1177/09544119241272833
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
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article

Open-source synthetic photoplethysmographic signal generator with analog output

Alessandro Gentilin
Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine
Non-Invasive Vital Sign Monitoring
article

Open-source synthetic photoplethysmographic signal generator with analog output

Alessandro Gentilin
article en

Abstract

The photoplethysmographic (PPG) signal of the finger is being used to create embedded devices that estimate physiological variables. This project outlines an innovative method for developing a synthetic PPG generator that produces both actual reference digital signals and their equivalent analog signals using open-source technology. A series of PPG profiles is synthesized using three variant Gaussian functions. A low-frequency trend induced by respiratory frequency and background noise are then added. To generate a diverse range of continuously variable PPG profiles within specified boundaries and customizable levels of interference, all parameters undergo random fluctuations on a cycle-by-cycle basis, as per user-defined constraints. The generated signal is then converted into its equivalent analog form through the use of an RC filter that low-frequency filters a Pulse-Width Modulation square wave that is modulated directly by the generated signal. The software returns different PPG profiles and allows the signal comparison before vs after the addition of different-intensity modulated respiratory trends and background noise. The digital signal is faithfully converted into an equivalent analog voltage signal capable of reproducing not only the waveform profile but also the respiratory trend and various levels of noise.

Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in MedicineVol. 238(8-9)
Openalex Percentile: Top 89%
Non-Invasive Vital Sign Monitoring
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Open-source synthetic photoplethysmographic signal generator with analog output — Alessandro Gentilin · Proceedings of the Institution of Mechanical Engineers Part H Journal of Engineering in Medicine (2024) | TGRS Research Map | TGRS