Detection of Brain Interictal Epileptiform Discharges from Intracranial EEG by Exploiting their Morphology in the Tensor Structure
- Resource Type
- Conference
- Authors
- Abdi-Sargezeh, Bahman; Valentin, Antonio; Alarcon, Gonzalo; Sanei, Saeid
- Source
- 2021 29th European Signal Processing Conference (EUSIPCO) Signal Processing Conference (EUSIPCO), 2021 29th European. :1167-1171 Aug, 2021
- Subject
- Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Signal Processing and Analysis
Training
Tensors
Shape
Morphology
Epilepsy
Europe
Signal processing
Epileptiform discharges
IED morphology
intracranial EEG
spatial components
tensor decomposition
- Language
- ISSN
- 2076-1465
Detection of interictal epileptiform discharges (IEDs) from EEG signals is the mainstay of diagnosis of epilepsy. The diversity in IED morphologies and their weakness deteriorate the detection performance particularly when the IEDs of different subjects are combined for training. Here, we propose an IED detection system based on tensor factorization in which IEDs with similar morphology are concatenated into the same slice of a tensor. Applying the proposed method to the intracranial EEG 92.9% accuracy has been achieved. This shows that incorporating IED shape diversity into tensor factorization considerably improves the results.