| Paper ID | BIO-2.1 |
| Paper Title |
INCORPORATING UNCERTAINTY IN DATA LABELING INTO DETECTION OF BRAIN INTERICTAL EPILEPTIFORM DISCHARGES FROM EEG USING WEIGHTED OPTIMIZATION |
| Authors |
Bahman Abdi-Sargezeh, Nottingham Trent University, United Kingdom; Antonio Valentin, King’s College London, United Kingdom; Gonzalo Alarcon, Hamad General Hospital, Qatar; Saeid Sanei, Nottingham Trent University, United Kingdom |
| Session | BIO-2: Biomedical Signal Processing: Detection and Estimation |
| Location | Gather.Town |
| Session Time: | Tuesday, 08 June, 13:00 - 13:45 |
| Presentation Time: | Tuesday, 08 June, 13:00 - 13:45 |
| Presentation |
Poster
|
| Topic |
Biomedical Imaging and Signal Processing: [BIO] Biomedical signal processing |
| IEEE Xplore Open Preview |
Click here to view in IEEE Xplore |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| Abstract |
Interictal epileptiform discharges (IEDs) can have various morphologies as well as spatial distributions and sometimes are associated with other brain activities, resulting in uncertainty in their labeling. Such an uncertainty corresponds to the probability of a waveform being an IED. Here, we incorporate this probability in an IED detection system which combines spatial component analysis (SCA) with the IED probabilities referred to as SCA-IEDP-based method. For comparison, we also propose SCA-based method in which the probability of being IED is ignored. The outcome shows that the SCA-IEDP outperforms SCA. |
