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A sleep monitoring method with EEG signals

Abichou, Yessrine and Chaabene, Siwar and Chaari, Lotfi A sleep monitoring method with EEG signals. ( In Press: 2019) In: International Conference on Digital Health Technologies (ICDHT), 9 December 2019 - 11 December 2019 (Hammamet, Tunisia).

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Official URL: https://www.lavoisier.fr/livre/notice.asp?ouvrage=4372049

Abstract

Diagnosis of sleep disorders is still a challenging issue for a large number of nerve diseases. In this sense, EEG is a powerful tool due to its non-invasive and real-time catacteristics. This modality is being more and more used for diagnosis such as for epilepsy. It is also becoming widely used for many redictive, Preventive and Personalized Medicine (PPPM) applications. To understand sleep disorders, we propose a method to classify EEG signals in order to detect abnormal behaviours that could refect a specificmodification of the sleep pattern. Our method consists of extracting the characteristics based on temporal and spectral analyses with different descriptors. A classifcation is then performed based on these features. Validation on a public available database show promizing results with high accuracy levels.

Item Type:Conference or Workshop Item (Paper)
HAL Id:hal-02938626
Audience (conference):National conference proceedings
Uncontrolled Keywords:
Institution:French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Other partners > Digital Research Center of Sfax (TUNISIA)
Other partners > Université de Sfax (TUNISIA)
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Deposited On:08 Sep 2020 12:24

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