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Authors: Rodolfo Abreu 1 ; Joana Sousa 2 and Hugo Gamboa 3

Affiliations: 1 Universidade Nova de Lisboa, Portugal ; 2 PLUX - Wireless Biosignals S.A., Portugal ; 3 Universidade Nova de Lisboa and PLUX - Wireless Biosignals S.A., Portugal

ISBN: 978-989-8565-36-5

Keyword(s): Biosignals,Waves, Events Detection, Features Extraction, Pattern Recognition, k-Means, Parallel Computing, Signal Processing.

Related Ontology Subjects/Areas/Topics: Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Detection and Identification ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Monitoring and Telemetry ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: One of the biggest challenges when analysing data is to extract information from it. In this study, we present a signal-independent algorithm that detects events on biosignals and extracts information from them by applying a new parallel version of the k-means clustering algorithm. Events can be found using a peaks detection algorithm that uses the signal RMS as an adaptive threshold or by morphological analysis through the computation of the signal meanwave. Different types of signals were acquired and annotated by the presented algorithm. By visual inspection, we obtained an accuracy of 97.7% and 97.5% using the L1 and L2 Minkowski distances, respectively, as distance functions and 97.6% using the meanwave distance. The fact that this algorithm can be applied to long-term raw biosignals and without requiring any prior information about them makes it an important contribution in biosignals information extraction and annotation.

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Paper citation in several formats:
Abreu, R.; Sousa, J.; Gamboa, H. and Gamboa, H. (2013). A Signal-independent Algorithm for Information Extraction and Signal Annotation of Long-term Records.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 323-326. DOI: 10.5220/0004241303230326

@conference{biosignals13,
author={Rodolfo Abreu. and Joana Sousa. and Hugo Gamboa. and Hugo Gamboa.},
title={A Signal-independent Algorithm for Information Extraction and Signal Annotation of Long-term Records},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={323-326},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004241303230326},
isbn={978-989-8565-36-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - A Signal-independent Algorithm for Information Extraction and Signal Annotation of Long-term Records
SN - 978-989-8565-36-5
AU - Abreu, R.
AU - Sousa, J.
AU - Gamboa, H.
AU - Gamboa, H.
PY - 2013
SP - 323
EP - 326
DO - 10.5220/0004241303230326

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