Feasibility Study of Heartbeat Detection from Optical Interferometric Signal by using Convolution Kernel Compensation

Sebastijan Šprager, Aleš Holobar, Damjan Zazula

2013

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 beat delay of 167 ± 65 ms) are within acceptable limits indicating that unobtrusive heartbeat detection using the proposed approach is feasible.

References

  1. Šprager, S., Zazula, D., 2012. Heartbeat and respiration detection from optical interferometric signals by using a multimethod approach. IEEE Transactions on Biomedical Engineering, 59, 10, 2922-2929.
  2. Šprager, S., Ðonlagic, D., Zazula, D., 2010. Monitoring of basic human vital functions using optical interferometer. 10th International Conference on Signal Processing, 2, 1738-1741.
  3. Šprager, S., Ðonlagic, D., Zazula, D., 2011. Heart beat monitoring using optical interferometric signal and pseudo Wigner-Ville distribution, 7th International Conference on Information Technology and Applications, 271-275.
  4. Šprager, S., Ðonlagic, D., Zazula, D., 2012. Heartbeat detection applying activity index on optical interferometric signal. 11th WSEAS International Conference on Instrumentation, Measurement, Circuits and Systems, 77-82.
  5. Holobar, A., Zazula, D., 2007. Multichannel Blind Source Separation Using Convolution Kernel Compensation. IEEE Transactions on Signal Processing, 55, 9, 4487- 4496.
  6. Holobar, A., Farina, D., Gazzoni, M., Merletti, R., Zazula, D., 2009. Estimating motor unit discharge patterns from high-density surface electromyogram. Clinical Neurophysiology, 120, 3, 551-562.
  7. Istenic, R., Zazula, D., 2010. Segmentation of Compound Signals Using Higher-Order Activity Indexes. International journal on circuits, systems and signal processing, 4, 3, 120-128.
  8. Udd, E., 1991. Optic Sensors - An Introduction for Engineers and Scientist, Joh Wiley & Sons.
  9. Pan, J., Tompkins, W. J., 1985. A real-time QRS detection algorithm. IEEE Transactions on Biomedical Engineering, 3, 230-236.
Download


Paper Citation


in Harvard Style

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 - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 396-400. DOI: 10.5220/0004328303960400


in Bibtex Style

@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 - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={396-400},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004328303960400},
isbn={978-989-8565-36-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Feasibility Study of Heartbeat Detection from Optical Interferometric Signal by using Convolution Kernel Compensation
SN - 978-989-8565-36-5
AU - Šprager S.
AU - Holobar A.
AU - Zazula D.
PY - 2013
SP - 396
EP - 400
DO - 10.5220/0004328303960400