학술논문

Despikifying SEEG signals using a temporal basis set
Document Type
Conference
Source
2015 15th International Conference on Intelligent Systems Design and Applications (ISDA) Intelligent Systems Design and Applications (ISDA), 2015 15th International Conference on. :580-584 Dec, 2015
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
General Topics for Engineers
Robotics and Control Systems
Signal Processing and Analysis
Brain modeling
despikifying
spike
gamma oscilllations
svd
time frequency analysis
spatio temporal map
Language
ISSN
2164-7151
Abstract
The current trend in the diagnosis of epilepsy is oriented towards high frequency activity that is used to characterize the epileptogenic zone. Still, interictal spikes, i.e. transient activity, remain a classical marker. A difficult question is to separate these two classes of activity that overlap in the time-frequency plane. We propose to use a temporal basis set in order to describe and subtract spiking activity from the traces, as a preprocessing step for further space-time-frequency analysis. The set is based on singular value decomposition. We select the first three temporal components, construct a model of the spikes by projecting the data on the new basis and obtain a spike-free signal by subtracting the model from the original signal. We prove that despikifying results in a better characterization of oscillatory activity, promoting time and frequency separation. The resulting spatio-temporal maps could help for a better characterization of the oscillatory activity in electrophysiology of epilepsy.