M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities-Reference-Cited by-同舟云学术

M2D2: Maximum-Mean-Discrepancy Decoder for Temporal Localization of Epileptic Brain Activities

Published:2023-01 Issue:1 Volume:27 Page:202-214
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Amirshahi Alireza¹^ORCID,Thomas Anthony²,Aminifar Amir³^ORCID,Rosing Tajana²,Atienza David¹^ORCID

Affiliation:

1. Embedded Systems Laboratory (ESL), Institute of Electrical and Micro Engineering, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

2. Department of Computer Science and Engineering, University of California, San Diego, CA, USA

3. Department of Electrical and Information Technology, Lund University, Lund, Sweden

Funder

ML-Edge Swiss National Science Foundation

PEDESITE Swiss NSF Sinergia Project

Fondation Botnar

Knut och Alice Wallenbergs Stiftelse

CRISP one of six centers in JUMP

Defense Advanced Research Projects Agency

NSF

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

https://ieeexplore.ieee.org/ielam/6221020/10006388/9899698-aam.pdf

Reference47 articles.

1. e-Glass: A Wearable System for Real-Time Detection of Epileptic Seizures

2. On the difficulty of training recurrent neural network;pascanu;Proc 30th Int Conf Mach Learn,0

3. Removal of artifacts from EEG signals: A review;jiang;SENSORS,2019

4. Kernel Methods and the Maximum Mean Discrepancy for Seizure Detection

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