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Title: | Remote photoplethysmography for the neuro-electrostimulation procedures monitoring the possibilities of remote photoplethysmography application for the analysis of high frequency parameters of heart rate variability |
Authors: | Kublanov, V. Purtov, K. Belkov, D. |
Issue Date: | 2017 |
Publisher: | SciTePress |
Citation: | Kublanov V. Remote photoplethysmography for the neuro-electrostimulation procedures monitoring the possibilities of remote photoplethysmography application for the analysis of high frequency parameters of heart rate variability / V. Kublanov, K. Purtov, D. Belkov. — DOI 10.5220/0006176003070314 // BIOSIGNALS 2017 - 10th International Conference on Bio-Inspired Systems and Signal Processing, Proceedings; Part of 10th International Joint Conference on Biomedical Engineering Systems and Technologies, BIOSTEC 2017. — 2017. — Iss. 4. — P. 307-314. |
Abstract: | The paper presents assessments of the remote photoplethysmography (rPPG) capabilities for evaluation of heart rate variability (HRV) for monitoring the neuro-electrostimulation procedures. In our experiment, 20 minute long videos of 20 people in office lighting conditions were analyzed. We checked the accuracy of well-known methods and some modern methods of rPPG. In this work, we evaluated the accuracy of rPPG methods in high frequency (HF) band (0.4 - 0.15 Hz), and sub-bands (0.4 - 0.3 Hz), (0.3 - 0.15 Hz). For the sub-band (0.3-0.15 Hz) HRV signals obtained with rPPG are better correlated with HRV signals obtained with electrocardiography (ECG). The results have shown that POS method provides the best HRV parameter evaluation. Copyright © 2017 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved. |
Keywords: | AUTONOMIC NERVOUS SYSTEM BLOOD VOLUME PULSE HEART RATE VARIABILITY REMOTE PHOTOPLETHYSMOGRAPHY REMOTE SENSING RESPIRATION BIOMEDICAL ENGINEERING BIOMIMETICS ELECTROCARDIOGRAPHY HEART PHOTOPLETHYSMOGRAPHY ELECTROSTIMULATION HEART RATE VARIABILITY HIGH FREQUENCY BANDS HIGH FREQUENCY PARAMETERS LIGHTING CONDITIONS PARAMETER EVALUATION SUBBANDS SIGNAL PROCESSING |
URI: | http://elar.urfu.ru/handle/10995/92373 |
Access: | info:eu-repo/semantics/openAccess |
SCOPUS ID: | 85040516186 |
WOS ID: | 000413256500041 |
PURE ID: | 6018573 |
ISBN: | 9789897582127 |
DOI: | 10.5220/0006176003070314 |
metadata.dc.description.sponsorship: | The work was supported by Act 211 Government of the Russian Federation, contract 02.A03.21.0006. And partially supported by Russian Foundation for Assistance to Small Innovative Enterprises (FASIE) (Russia). |
Appears in Collections: | Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC |
Files in This Item:
File | Description | Size | Format | |
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10.5220-0006176003070314.pdf | 1,27 MB | Adobe PDF | View/Open |
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