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29 April 2022 Multilayer perceptron neural network for detecting singular points of photoplethysmogram
V. Yu. Gribkov, I. B. Isupov, R. Sh. Zatrudina
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Proceedings Volume 12194, Computational Biophysics and Nanobiophotonics; 1219406 (2022) https://doi.org/10.1117/12.2625904
Event: XXV Annual Conference Saratov Fall Meeting 2021; and IX Symposium on Optics and Biophotonics, 2021, Saratov, Russian Federation
Abstract
Photoplethysmography is an important optical method in healthcare and contains a wealth of information about physiological dynamics. For a quantitative assessment of vascular tone indices, an effective and modern method of analyzing the relief of the photoplethysmogram within the pulse cycle is required. A new method for detecting singular points of the contour of photoplethysmograms is proposed, based on the model of a multilayer perceptron neural network (MLPNN). The successful work of the network of the method for finding the systolic peak, dicrotic notch and diastolic peak has been demonstrated. It is shown that the average relative error does not exceed 5 percent. The proposed method can be used in computer monitoring systems for vascular tone.
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V. Yu. Gribkov, I. B. Isupov, and R. Sh. Zatrudina "Multilayer perceptron neural network for detecting singular points of photoplethysmogram", Proc. SPIE 12194, Computational Biophysics and Nanobiophotonics, 1219406 (29 April 2022); https://doi.org/10.1117/12.2625904
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KEYWORDS
Neural networks
Neurons
Heart
Signal processing
Electrocardiography
Photoplethysmography
Statistical analysis
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