Alcohol addiction diagnosis on the basis of the polysomnographic parameters

• Autorzy: Lewenstein Krzysztof , Ślubowska Elżbieta , Hawłas Hubert Jan

Identyfikatory

DOI

10.2478/pjmpe-2020-0019

• Języki publikacji: EN

Abstrakty

EN

Alcoholism is one of the most widely occurring addiction in the world. In this paper, we proposed the method of addiction detection based on polysomnography. We have got the sleep records which were described by numerical parameters calculated from standard processed records of polysomnography signals. The database used in the experiments consisted of 172 examinations: 50% of healthy and alcohol-addicted patients, and 50% males and females, with normal-like age distribution. For the diagnosis, we have used the decision system built on an artificial neural network.

Słowa kluczowe

EN

alcohol addiction; sleep disturbance; polysomnogram; diagnosis; artificial neural networks

• Wydawca: Polskie Towarzystwo Fizyki Medycznej ; De Gruyter
• Czasopismo: Polish Journal of Medical Physics and Engineering
• Rocznik: 2020
• Tom: Vol. 26, Iss. 3
• Strony: 161--167
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Lewenstein Krzysztof

• Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland

autor

Ślubowska Elżbieta

• Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland

autor

Hawłas Hubert Jan

• Institute of Metrology and Biomedical Engineering, Faculty of Mechatronics, Warsaw University of Technology, Warsaw, Poland

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).