Abstract
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.
This work was supported by the Department of Electronics, AGH University of Science and Technology. We are grateful to LookSoft Sp. z o. o. for their valuable notices and for the implementation and testing of the algorithm on a smartphone.
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©2013 by Walter de Gruyter Berlin Boston
