Photoplethysmographic Signals Preprocessing Denoising Threshold Processing PPG Device Health Monitoring
Issue Date:
10-Jun-2022
Publisher:
Institute of Mathematics and Informatics – Bulgarian Academy of Sciences
Citation:
Georgieva-Tsaneva, G. (2022). Preprocessing and Mathematical Analysis of PPG Signals, Science Series "Innovative STEM Education", volume 04, ISSN: 2683-1333, Institute of Mathematics and Informatics – Bulgarian Academy of Sciences, 48-55. DOI: https://doi.org/10.55630/STEM.2022.0407
Series/Report no.:
Science Series "Innovative STEM Education", volume 04;07
Abstract:
The report presents the main research trends in the preprocessing and mathematical analysis of photoplethysmographic signals. The use of PPG in recent years has grown in parallel with the deepening penetration of modern technology in people's daily lives. At the same time, the modernization of technology has led to the miniaturization of optical sensors. A detailed overview of the state of PPG technology today and the possibilities of using PPG sensors for reporting and long-term monitoring of the health of people in their daily lives is offered. The report considers methods for noise reduction in photoplethysmographic signals based on the use of discrete wavelet transform and threshold processing of the obtained coefficients. A comparison is made between the presented methods on the basis of evaluation parameters.
