NONINVASIVE CARDIOVASCULAR SYSTEM IDENTIFICATION USING PULSE WAVE TRANSIT TIME

Sérgio Okida, Pedro Giassi Júnior, João Fernando Refosco Baggio, Raimes Moraes, Maurício Gonçalves de Oliveira, Gastão Fernandes Duval Neto

Abstract

This work shows that it is possible to model the heart rate autonomic control from samples of ECG, PPG and respiratory flow waveform (RFW). Usually, such modelling is carried out with physiological signals that are more difficult to acquire during the clinical exams: ECG, arterial blood pressure and instantaneous lung volume. In this work, the ECG, PPG and RFW were recorded with a portable system from volunteers at two different postures: supine and standing. The ECG, PPG and RFW were processed off line in order to obtain the RR, the inverse of the pulse wave transit time (IPWTT) and the RFW series. These series were used as input for ARMA models and the obtained results were compared to the ones available in the literature. The qualitative and quantitative comparisons of the results reveal very similar performance.

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Paper Citation


in Harvard Style

Okida S., Giassi Júnior P., Fernando Refosco Baggio J., Moraes R., Gonçalves de Oliveira M. and Duval Neto G. (2012). NONINVASIVE CARDIOVASCULAR SYSTEM IDENTIFICATION USING PULSE WAVE TRANSIT TIME . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012) ISBN 978-989-8425-89-8, pages 232-237. DOI: 10.5220/0003775402320237


in Bibtex Style

@conference{biosignals12,
author={Sérgio Okida and Pedro Giassi Júnior and João Fernando Refosco Baggio and Raimes Moraes and Maurício Gonçalves de Oliveira and Gastão Fernandes Duval Neto},
title={NONINVASIVE CARDIOVASCULAR SYSTEM IDENTIFICATION USING PULSE WAVE TRANSIT TIME},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)},
year={2012},
pages={232-237},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003775402320237},
isbn={978-989-8425-89-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2012)
TI - NONINVASIVE CARDIOVASCULAR SYSTEM IDENTIFICATION USING PULSE WAVE TRANSIT TIME
SN - 978-989-8425-89-8
AU - Okida S.
AU - Giassi Júnior P.
AU - Fernando Refosco Baggio J.
AU - Moraes R.
AU - Gonçalves de Oliveira M.
AU - Duval Neto G.
PY - 2012
SP - 232
EP - 237
DO - 10.5220/0003775402320237