A zero precision loss framework for EEG channel selection: enhancing efficiency and maintaining interpretability-Reference-Cited by-同舟云学术

A zero precision loss framework for EEG channel selection: enhancing efficiency and maintaining interpretability

Published:2024-09-13 Issue: Volume: Page:1-16
ISSN:1025-5842
Container-title:Computer Methods in Biomechanics and Biomedical Engineering
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering

Author:

Wang Lu¹,Wang Junkongshuai¹,Su Haolong¹,Zhang Xueze¹,Zhang Lihua¹,Kang Xiaoyang¹²

Affiliation:

1. Laboratory for Neural Interface and Brain Computer Interface, Engineering Research Center of AI & Robotics, Ministry of Education, Shanghai Engineering Research Center of AI & Robotics, MOE Frontiers Center for Brain Science, State Key Laboratory of Medical Neurobiology, Institute of AI & Robotics, Academy for Engineering & Technology, Fudan University, Shanghai, People's Republic of China

2. Yiwu Research Institute of Fudan University, Yiwu City, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Yiwu Research Institute of Fudan University

Ji Hua Laboratory

Shanghai Municipal Science and Technology Major Project

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10255842.2024.2401918

Reference45 articles.

1. Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)

2. A review of channel selection algorithms for EEG signal processing

3. Optimizing the Channel Selection and Classification Accuracy in EEG-Based BCI

4. Immediate and long-term effects of BCI-based rehabilitation of the upper extremity after stroke: a systematic review and meta-analysis

5. Filtering techniques for channel selection in motor imagery EEG applications: a survey