Online Seizure Prediction via Fine-Tuning and Test-Time Adaptation-Reference-Cited by-同舟云学术

Online Seizure Prediction via Fine-Tuning and Test-Time Adaptation

Published:2024-06-01 Issue:11 Volume:11 Page:20784-20796
ISSN:2327-4662
Container-title:IEEE Internet of Things Journal
language:
Short-container-title:IEEE Internet Things J.

Author:

Mao Tingting¹^ORCID,Li Chang¹^ORCID,Song Rencheng¹^ORCID,Xu Guoping²,Chen Xun³^ORCID

Affiliation:

1. Department of Biomedical Engineering and the Anhui Province Key Laboratory of Measuring Theory and Precision Instrument, Hefei University of Technology, Hefei, Anhui, China

2. School of Computer Science and Engineering, Hubei Key Laboratory of Intelligent Robot, Wuhan Institute of Technology, Wuhan, Hubei, China

3. Department of Neurosurgery, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, and the Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, China

Funder

National Natural Science Foundation of China

Joint Fund for Medical Artificial Intelligence

Fundamental Research Funds for the Central Universities

Guangdong Provincial Key Laboratory of Human Digital Twin

Graduate Innovative Fund of Wuhan Institute of Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6488907/10536937/10460390.pdf?arnumber=10460390

Reference50 articles.

1. Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review

2. From Seizure Detection to Smart and Fully Embedded Seizure Prediction Engine: A Review

3. Deep Learning for Patient-Independent Epileptic Seizure Prediction Using Scalp EEG Signals

4. Lightweight Privacy-Preserving Feature Extraction for EEG Signals Under Edge Computing

5. Emotion Recognition for Cognitive Edge Computing Using Deep Learning