Combined matching pursuit and wigner-ville distribution analysis for the discrimination of ictal heart rate variability

Marwa Qaraqe; Muhammad Ismail; Erchin Serpedin

doi:10.1109/EUSIPCO.2016.7760608

Combined matching pursuit and wigner-ville distribution analysis for the discrimination of ictal heart rate variability

Marwa Qaraqe, Muhammad Ismail, Erchin Serpedin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

2 Citations (Scopus)

Abstract

This paper presents a novel method for the discrimination of ictal heart rate variability (HRV). Traditionally, the analysis of the non-linear and non-stationary electrocardiogram (ECG) signal is limited to the time-domain or frequency-domain. This severely limits the quality of features that can be extracted from the ECG signal. In this work, HRV extracted from ECG is analyzed by combining the Matching-Pursuit (MP) and Wigner-Ville Distribution (WVD) algorithms in order to obtain a high quality time-frequency distribution of the HRV signal and to effectively extract meaningful HRV features representative of seizure and non-seizure states. The proposed method is tested on clinical patients and the results demonstrate effective discrimination between ictal HRV features and non-ictal HRV features.

Original language	English
Title of host publication	2016 24th European Signal Processing Conference, EUSIPCO 2016
Publisher	European Signal Processing Conference, EUSIPCO
Pages	2045-2049
Number of pages	5
ISBN (Electronic)	9780992862657
DOIs	https://doi.org/10.1109/EUSIPCO.2016.7760608
Publication status	Published - 28 Nov 2016
Externally published	Yes
Event	24th European Signal Processing Conference, EUSIPCO 2016 - Budapest, Hungary Duration: 28 Aug 2016 → 2 Sept 2016

Publication series

Name	European Signal Processing Conference
Volume	2016-November
ISSN (Print)	2219-5491

Conference

Conference	24th European Signal Processing Conference, EUSIPCO 2016
Country/Territory	Hungary
City	Budapest
Period	28/08/16 → 2/09/16

Access to Document

10.1109/EUSIPCO.2016.7760608

Cite this

Qaraqe, M., Ismail, M., & Serpedin, E. (2016). Combined matching pursuit and wigner-ville distribution analysis for the discrimination of ictal heart rate variability. In 2016 24th European Signal Processing Conference, EUSIPCO 2016 (pp. 2045-2049). Article 7760608 (European Signal Processing Conference; Vol. 2016-November). European Signal Processing Conference, EUSIPCO. https://doi.org/10.1109/EUSIPCO.2016.7760608

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title = "Combined matching pursuit and wigner-ville distribution analysis for the discrimination of ictal heart rate variability",

abstract = "This paper presents a novel method for the discrimination of ictal heart rate variability (HRV). Traditionally, the analysis of the non-linear and non-stationary electrocardiogram (ECG) signal is limited to the time-domain or frequency-domain. This severely limits the quality of features that can be extracted from the ECG signal. In this work, HRV extracted from ECG is analyzed by combining the Matching-Pursuit (MP) and Wigner-Ville Distribution (WVD) algorithms in order to obtain a high quality time-frequency distribution of the HRV signal and to effectively extract meaningful HRV features representative of seizure and non-seizure states. The proposed method is tested on clinical patients and the results demonstrate effective discrimination between ictal HRV features and non-ictal HRV features.",

author = "Marwa Qaraqe and Muhammad Ismail and Erchin Serpedin",

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doi = "10.1109/EUSIPCO.2016.7760608",

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Qaraqe, M, Ismail, M & Serpedin, E 2016, Combined matching pursuit and wigner-ville distribution analysis for the discrimination of ictal heart rate variability. in 2016 24th European Signal Processing Conference, EUSIPCO 2016., 7760608, European Signal Processing Conference, vol. 2016-November, European Signal Processing Conference, EUSIPCO, pp. 2045-2049, 24th European Signal Processing Conference, EUSIPCO 2016, Budapest, Hungary, 28/08/16. https://doi.org/10.1109/EUSIPCO.2016.7760608

Combined matching pursuit and wigner-ville distribution analysis for the discrimination of ictal heart rate variability. / Qaraqe, Marwa; Ismail, Muhammad; Serpedin, Erchin.
2016 24th European Signal Processing Conference, EUSIPCO 2016. European Signal Processing Conference, EUSIPCO, 2016. p. 2045-2049 7760608 (European Signal Processing Conference; Vol. 2016-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Combined matching pursuit and wigner-ville distribution analysis for the discrimination of ictal heart rate variability

AU - Qaraqe, Marwa

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AU - Serpedin, Erchin

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N2 - This paper presents a novel method for the discrimination of ictal heart rate variability (HRV). Traditionally, the analysis of the non-linear and non-stationary electrocardiogram (ECG) signal is limited to the time-domain or frequency-domain. This severely limits the quality of features that can be extracted from the ECG signal. In this work, HRV extracted from ECG is analyzed by combining the Matching-Pursuit (MP) and Wigner-Ville Distribution (WVD) algorithms in order to obtain a high quality time-frequency distribution of the HRV signal and to effectively extract meaningful HRV features representative of seizure and non-seizure states. The proposed method is tested on clinical patients and the results demonstrate effective discrimination between ictal HRV features and non-ictal HRV features.

AB - This paper presents a novel method for the discrimination of ictal heart rate variability (HRV). Traditionally, the analysis of the non-linear and non-stationary electrocardiogram (ECG) signal is limited to the time-domain or frequency-domain. This severely limits the quality of features that can be extracted from the ECG signal. In this work, HRV extracted from ECG is analyzed by combining the Matching-Pursuit (MP) and Wigner-Ville Distribution (WVD) algorithms in order to obtain a high quality time-frequency distribution of the HRV signal and to effectively extract meaningful HRV features representative of seizure and non-seizure states. The proposed method is tested on clinical patients and the results demonstrate effective discrimination between ictal HRV features and non-ictal HRV features.

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DO - 10.1109/EUSIPCO.2016.7760608

M3 - Conference contribution

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T3 - European Signal Processing Conference

SP - 2045

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Qaraqe M, Ismail M, Serpedin E. Combined matching pursuit and wigner-ville distribution analysis for the discrimination of ictal heart rate variability. In 2016 24th European Signal Processing Conference, EUSIPCO 2016. European Signal Processing Conference, EUSIPCO. 2016. p. 2045-2049. 7760608. (European Signal Processing Conference). doi: 10.1109/EUSIPCO.2016.7760608

Combined matching pursuit and wigner-ville distribution analysis for the discrimination of ictal heart rate variability

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