Time-frequency analysis of accelerometry data for seizure detection

• Autorzy: Korohoda P. , Kołodziej J. , Stępień J.
• Języki publikacji: EN

Abstrakty

EN

This article presents an algorithm based on a short-time Fourier transform for reliable detection of epileptic seizures measured with three-dimensional (3D) accelerometry. The objective of the described work is to provide basic technical information to create useful alarm models for epileptic seizure detection using a mobile phone. The presented material is based on experimental measurements. Finally, the possibility of increasing smartphone detection capability by attaching a triaxial piezoelectric accelerometer to the patient’s wrist is suggested.

Słowa kluczowe

EN

3D accelerometry (ACM); epilepsy seizure detection; motor activity

• Wydawca: Uniwersytet Jagielloński - Collegium Medicum ; Index Copernicus Sp. z o.o.
• Czasopismo: Bio-Algorithms and Med-Systems
• Rocznik: 2013
• Tom: Vol. 9, no. 2
• Strony: 65--71
• Opis fizyczny: Bibliogr. 14 poz., rys.

Twórcy

autor

Korohoda P.

• AGH University of Science and Technology, Faculty of Computer Science, Electronics and Telecommunication, Department of Electronics, Mickiewicza 30 av., 30-059 Kraków, Poland

autor

Kołodziej J.

• Faculty of Computer Science, Electronics and Telecommunication, Department of Electronics, AGH University of Science and Technology, Kraków, Poland

autor

Stępień J.

• Faculty of Computer Science, Electronics and Telecommunication, Department of Electronics, AGH University of Science and Technology, Kraków, Poland

Bibliografia

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• 12. BMA150 digital, triaxial acceleration sensor – Bosch Sensortec datasheet. Available at: http://jp.bosch-sensortec.com/content/language1/downloads/BST-BMA150-DS000-07.pdf. Accessed: March 2013.
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