A distributed descriptor characterizing structural irregularity of EEG time series for epileptic seizure detection

Zhenning Mei; Xian Zhao; Hongyu Chen; Wei Chen

doi:10.1109/EMBC.2018.8512919

A distributed descriptor characterizing structural irregularity of EEG time series for epileptic seizure detection

Zhenning Mei, Xian Zhao, Hongyu Chen, Wei Chen

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

Samenvatting

This paper presents a novel descriptor aiming at anomaly detection in sequential data, like epileptic seizure detection with EEG time series. The descriptor is derived from the eigenvalue decomposition (EVD) of a Hankel-form data matrix generated from the raw time series. Simulation trials imply that the descriptor is capable of characterizing the structural aspect of a time series. In addition, we deploy the proposed descriptor as a feature extractor and apply it on Bonn Seizure Database which is widely used in seizure detection. The high accuracies on classification problems are comparable with the state-of-the-art so validate the effectiveness of our method.

Originele taal-2	Engels
Titel	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	3386-3389
Aantal pagina's	4
ISBN van elektronische versie	978-1-5386-3646-6
DOI's	https://doi.org/10.1109/EMBC.2018.8512919
Status	Gepubliceerd - 26 okt. 2018
Evenement	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 - Hawaii Convention Center, Honolulu, Verenigde Staten van Amerika Duur: 18 jul. 2018 → 21 jul. 2018 Congresnummer: 40 https://embc.embs.org/2018/

Congres

Congres	40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018
Verkorte titel	EMBC 2018
Land/Regio	Verenigde Staten van Amerika
Stad	Honolulu
Periode	18/07/18 → 21/07/18
Internet adres	https://embc.embs.org/2018/

Financiering

Hongyu Chen is also with Eindhoven University of Technology, the Netherlands. Wei Chen is also with the Shanghai Key Laboratory of Medical Imaging Computing and Computer Assisted Intervention, Shanghai, China. * This work is supported by China Minister of Science and Technology and EU Commission collaborative project (Grant No. 2017YFE0112000) and Shanghai Municipal Science and Technology Major Project (Grant No. 2017SHZDZX01).

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10.1109/EMBC.2018.8512919

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Mei, Z., Zhao, X., Chen, H., & Chen, W. (2018). A distributed descriptor characterizing structural irregularity of EEG time series for epileptic seizure detection. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018 (blz. 3386-3389). Artikel 8512919 Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/EMBC.2018.8512919

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title = "A distributed descriptor characterizing structural irregularity of EEG time series for epileptic seizure detection",

abstract = "This paper presents a novel descriptor aiming at anomaly detection in sequential data, like epileptic seizure detection with EEG time series. The descriptor is derived from the eigenvalue decomposition (EVD) of a Hankel-form data matrix generated from the raw time series. Simulation trials imply that the descriptor is capable of characterizing the structural aspect of a time series. In addition, we deploy the proposed descriptor as a feature extractor and apply it on Bonn Seizure Database which is widely used in seizure detection. The high accuracies on classification problems are comparable with the state-of-the-art so validate the effectiveness of our method.",

keywords = "Databases, Factual, Electroencephalography, Epilepsy, Humans, Seizures, Signal Processing, Computer-Assisted",

author = "Zhenning Mei and Xian Zhao and Hongyu Chen and Wei Chen",

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publisher = "Institute of Electrical and Electronics Engineers",

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note = "40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, EMBC 2018 ; Conference date: 18-07-2018 Through 21-07-2018",

url = "https://embc.embs.org/2018/",

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Mei, Z, Zhao, X, Chen, H & Chen, W 2018, A distributed descriptor characterizing structural irregularity of EEG time series for epileptic seizure detection. in 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018., 8512919, Institute of Electrical and Electronics Engineers, Piscataway, blz. 3386-3389, 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018, Honolulu, Verenigde Staten van Amerika, 18/07/18. https://doi.org/10.1109/EMBC.2018.8512919

A distributed descriptor characterizing structural irregularity of EEG time series for epileptic seizure detection. / Mei, Zhenning; Zhao, Xian; Chen, Hongyu et al.
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Piscataway: Institute of Electrical and Electronics Engineers, 2018. blz. 3386-3389 8512919.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

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AB - This paper presents a novel descriptor aiming at anomaly detection in sequential data, like epileptic seizure detection with EEG time series. The descriptor is derived from the eigenvalue decomposition (EVD) of a Hankel-form data matrix generated from the raw time series. Simulation trials imply that the descriptor is capable of characterizing the structural aspect of a time series. In addition, we deploy the proposed descriptor as a feature extractor and apply it on Bonn Seizure Database which is widely used in seizure detection. The high accuracies on classification problems are comparable with the state-of-the-art so validate the effectiveness of our method.

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Mei Z, Zhao X, Chen H, Chen W. A distributed descriptor characterizing structural irregularity of EEG time series for epileptic seizure detection. In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2018. Piscataway: Institute of Electrical and Electronics Engineers. 2018. blz. 3386-3389. 8512919 doi: 10.1109/EMBC.2018.8512919

A distributed descriptor characterizing structural irregularity of EEG time series for epileptic seizure detection

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