Analysis of Pulse Wave Similarity in Photoplethysmograms


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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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A. Golovina

Bauman Moscow State Technical University

编辑信件的主要联系方式.
Email: nastya_gm@mail.ru
俄罗斯联邦, Moscow

A. D’yakonov

Faculty of Computational Mathematics and Cybernetics, Moscow State University

Email: nastya_gm@mail.ru
俄罗斯联邦, Moscow

O. Kharatsidi

Faculty of Computational Mathematics and Cybernetics, Moscow State University

Email: nastya_gm@mail.ru
俄罗斯联邦, Moscow

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