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Authors: Gonzalo Tapia ; Matias Salinas ; Jaime Plaza ; Diego Mellado ; Rodrigo Salas ; Carolina Saavedra ; Alejandro Veloz ; Alexis Arriola ; Juan Idiaquez and Antonio Glaría

Affiliation: U. de Valparaíso, Chile

ISBN: 978-989-758-212-7

Keyword(s): VPG, nImI, Arterial Hypertension, Fractional Derivatives, Finapres, Photoplethysmography Derivatives.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Cardiovascular Signals ; Computer Vision, Visualization and Computer Graphics ; Medical Image Detection, Acquisition, Analysis and Processing ; Physiological Processes and Bio-Signal Modeling, Non-Linear Dynamics

Abstract: The purpose of this work is to fit Photoplethysmography (PPG) to finger Arterial Pressure (fiAP) waveform using derivative approaches. Derivative approaches consider using Linear Combination of Derivatives (LCD) and Fractional Derivatives (FDPa). Four informed healthy subjects, aging 35:811:0 years old, agreed to perform Handgrip maneuvers. Signals are recorded continually; a Finapres NOVA device is used for fiAP, while a BIOPAC System is used for PPG and ECG. PPG is smoothed and segmented by heartbeat; recording sections interfered with spiky blocking noise, are eliminated. Finally, PPG is processed using LCD and FDPa and their results are enriched using Lasso technique. Twenty records per subject at rest and twenty at raised BP are analyzed. Results show PPG to fiAP fitting errors 5:38%0:91 at resting fiAP and 5:86%1:21 at raised fiAP, being always lower than 15%, suggesting that derivative approaches could be suitable for medical applications.

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Paper citation in several formats:
Tapia, G.; Salinas, M.; Plaza, J.; Mellado, D.; Salas, R.; Saavedra, C.; Veloz, A.; Arriola, A.; Idiaquez, J. and Glaría, A. (2017). Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches.In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2017) ISBN 978-989-758-212-7, pages 155-162. DOI: 10.5220/0006143901550162

@conference{biosignals17,
author={Gonzalo Tapia. and Matias Salinas. and Jaime Plaza. and Diego Mellado. and Rodrigo Salas. and Carolina Saavedra. and Alejandro Veloz. and Alexis Arriola. and Juan Idiaquez. and Antonio Glaría.},
title={Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2017)},
year={2017},
pages={155-162},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006143901550162},
isbn={978-989-758-212-7},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, (BIOSTEC 2017)
TI - Photoplethysmogram Fits Finger Blood Pressure Waveform for non-Invasive and minimally-Intrusive Technologies - Evaluation of Derivative Approaches
SN - 978-989-758-212-7
AU - Tapia, G.
AU - Salinas, M.
AU - Plaza, J.
AU - Mellado, D.
AU - Salas, R.
AU - Saavedra, C.
AU - Veloz, A.
AU - Arriola, A.
AU - Idiaquez, J.
AU - Glaría, A.
PY - 2017
SP - 155
EP - 162
DO - 10.5220/0006143901550162

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