A COLLECTIVE BIOLOGICAL PROCESSING ALGORITHM FOR ECG SIGNALS

Horia Mihail Teodorescu

2011

Abstract

We establish and explore an analogy between hunting by packs of agents and signal processing. We present a version of adaptive ‘Hunting Swarm’ algorithm (HSA), apply it to ECG signals, and investigate the influence of the model parameters on the filtering of stationary and nonstationary noise. We show that results obtained with the HSA filter may outperform results obtained with several other filters.

References

  1. Almenar, V. and Albiol, A. (1999). A new adaptive scheme for e.c.g. enhancement. Signal Processing, 75(3):253 - 263.
  2. Bansal, D., Khan, M., and Salhan, A. K. (2009). A computer based wireless system for online acquisition, monitoring and digital processing of ecg waveforms. Computers in Biology and Medicine, 39(4):361 - 367.
  3. Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, Figure 15: Result of filtering the signal Apnea ECG A01 with the parameters µ = 0:25, h1 = 3, h2 = 4 for noise 0.0005.
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Paper Citation


in Harvard Style

Mihail Teodorescu H. (2011). A COLLECTIVE BIOLOGICAL PROCESSING ALGORITHM FOR ECG SIGNALS . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011) ISBN 978-989-8425-35-5, pages 413-420. DOI: 10.5220/0003136304130420


in Bibtex Style

@conference{biosignals11,
author={Horia Mihail Teodorescu},
title={A COLLECTIVE BIOLOGICAL PROCESSING ALGORITHM FOR ECG SIGNALS},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)},
year={2011},
pages={413-420},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003136304130420},
isbn={978-989-8425-35-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2011)
TI - A COLLECTIVE BIOLOGICAL PROCESSING ALGORITHM FOR ECG SIGNALS
SN - 978-989-8425-35-5
AU - Mihail Teodorescu H.
PY - 2011
SP - 413
EP - 420
DO - 10.5220/0003136304130420