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Authors: Sebastijan Šprager ; Aleš Holobar and Damjan Zazula

Affiliation: University of Maribor and Faculty of Electrical Engineering and Computer Science, Slovenia

Keyword(s): Heat Rate Estimation, Optical Interferometer, Unobtrusive Monitoring of Human Vital Signs, Biomedical Signal Processing, Latent Variable Analysis, Convolution Kernel Compensation.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Detection and Identification ; Medical Image Detection, Acquisition, Analysis and Processing ; Monitoring and Telemetry

Abstract: In this paper, a feasibility of detecting heartbeat from optical interferometric signal by using convolution kernel compensation (CKC) latent variable analysis (LVA) approach is examined. Optical interferometer is a very sensitive device that detects physical elongation of the optical fibre. When used as bed or body sensor, mechanical and audible activity of the heart produce perturbations in the detected signal that, when extracted by LVA, allows completely unobtrusive monitoring of heartbeat. We performed an experiment with fourteen young healthy participants. They exercised on a cycle ergometer until they reached their submaximal heart rate (85 % of maximal heart rate). During resting period after the exercise optical interferometric signal was acquired along with the referential ECG signal. CKC-based decomposition of 1-minute-long signal segments was performed. The obtained efficiency (sensitivity of 97.8 ± 3.0 %, precision of 93.6 ± 7.6 %) and accuracy (reference-to-detected bea t delay of 167 ± 65 ms) are within acceptable limits indicating that unobtrusive heartbeat detection using the proposed approach is feasible. (More)

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Paper citation in several formats:
Šprager, S.; Holobar, A. and Zazula, D. (2013). Feasibility Study of Heartbeat Detection from Optical Interferometric Signal by using Convolution Kernel Compensation. In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5; ISSN 2184-4305, pages 396-400. DOI: 10.5220/0004328303960400

@conference{biosignals13,
author={Sebastijan Šprager. and Aleš Holobar. and Damjan Zazula.},
title={Feasibility Study of Heartbeat Detection from Optical Interferometric Signal by using Convolution Kernel Compensation},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={396-400},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004328303960400},
isbn={978-989-8565-36-5},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - BIOSIGNALS, (BIOSTEC 2013)
TI - Feasibility Study of Heartbeat Detection from Optical Interferometric Signal by using Convolution Kernel Compensation
SN - 978-989-8565-36-5
IS - 2184-4305
AU - Šprager, S.
AU - Holobar, A.
AU - Zazula, D.
PY - 2013
SP - 396
EP - 400
DO - 10.5220/0004328303960400

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