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Authors: Abraham Otero 1 ; Xosé Vila 2 ; Francisco Palacios 3 and Francisco J. Coves 3

Affiliations: 1 University San Pablo CEU, Spain ; 2 University of Vigo, Spain ; 3 Hospital Universitary Hospital of Elche, Spain

Keyword(s): Obstructive sleep apnea (OSA), Biosignal processing, Heart rate variability.

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

Abstract: This paper presents a new algorithm for the detection of Obstructive Sleep Apnea (OSA) from a single electrocardiogram lead. It is based on the alterations that OSA patients present in the LF and HF bands of the heart rate variability power spectrum. The algorithm calculates the power of the spectrum in two bands that roughly corresponding with the LF and HF bands. Then the ratio between the power of the low band and the power of the high band is obtained. If this ratio is greater than a certain threshold the patient is classified as having OSA, otherwise he/she is classified as not having OSA. Then the algorithm was validated over the test data set of the Apnea-ECG Database, classifying correctly 29 of 30 recordings.

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Paper citation in several formats:
Otero, A.; Vila, X.; Palacios, F. and J. Coves, F. (2010). DETECTION OF OBSTRUCTIVE SLEEP APNEA FROM THE FREQUENCY ANALYSIS OF HEART RATE VARIABILITY. In Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2010) - BIOSIGNALS; ISBN 978-989-674-018-4; ISSN 2184-4305, SciTePress, pages 359-362. DOI: 10.5220/0002590503590362

@conference{biosignals10,
author={Abraham Otero. and Xosé Vila. and Francisco Palacios. and Francisco {J. Coves}.},
title={DETECTION OF OBSTRUCTIVE SLEEP APNEA FROM THE FREQUENCY ANALYSIS OF HEART RATE VARIABILITY},
booktitle={Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2010) - BIOSIGNALS},
year={2010},
pages={359-362},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002590503590362},
isbn={978-989-674-018-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the Third International Conference on Bio-inspired Systems and Signal Processing (BIOSTEC 2010) - BIOSIGNALS
TI - DETECTION OF OBSTRUCTIVE SLEEP APNEA FROM THE FREQUENCY ANALYSIS OF HEART RATE VARIABILITY
SN - 978-989-674-018-4
IS - 2184-4305
AU - Otero, A.
AU - Vila, X.
AU - Palacios, F.
AU - J. Coves, F.
PY - 2010
SP - 359
EP - 362
DO - 10.5220/0002590503590362
PB - SciTePress