The article focuses on the analysis of photoplethysmograms. The quality of a photoplethysmogram is assessed by solving the classification problem, i.e., identifying the patient from the photoplethysmogram. Efficient patient identification methods are proposed, including methods based on DTW and TWED metrics. Identification accuracy reaches 70%.
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Translated from Prikladnaya Matematika i Informatika, No. 53, 2016, pp. 46–59.
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Golovina, A.M., D’yakonov, A.G. & Kharatsidi, O.A. Analysis of Pulse Wave Similarity in Photoplethysmograms. Comput Math Model 28, 339–349 (2017). https://doi.org/10.1007/s10598-017-9368-z
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DOI: https://doi.org/10.1007/s10598-017-9368-z