Multiple Scale Convolutional Few-Shot Learning Networks for Online P300-Based Brain–Computer Interface and Its Application to Patients With Disorder of Consciousness-Reference-Cited by-同舟云学术

Multiple Scale Convolutional Few-Shot Learning Networks for Online P300-Based Brain–Computer Interface and Its Application to Patients With Disorder of Consciousness

Published:2023 Issue: Volume:72 Page:1-16
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Pan Jiahui¹^ORCID,Cai Honghua¹^ORCID,Huang Haiyun¹^ORCID,He Yanbin²^ORCID,Li Yuanqing³^ORCID

Affiliation:

1. School of Software, South China Normal University, Guangzhou, China

2. Traumatic Brain Injury Rehabilitation and Severe Rehabilitation Department, Guangdong Work Injury Rehabilitation Hospital, Guangzhou, China

3. Center for Brain-Computer Interfaces and Brain Information Processing, South China University of Technology, Guangzhou, China

Funder

Science and Technology Innovation (STI) 2030-Major Projects

National Natural Science Foundation of China

Key Realm Research and Development Program of Guangzhou

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10102578.pdf?arnumber=10102578

Reference61 articles.

1. Bedside detection of awareness in the vegetative state: a cohort study

2. Efficient BackProp

3. Willful Modulation of Brain Activity in Disorders of Consciousness

4. Using CNN for facial expression recognition: a study of the effects of kernel size and number of filters on accuracy

5. Functional ‘unlocking’: bedside detection of covert awareness after severe brain damage

Cited by 8 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Novel Parameter-Free Attention-based Multiscale Convolution Prototype Networks for P300 Brain-computer Interface;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. FewShotEEG Learning and Classification for Brain- Computer Interface;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

3. A Hybrid BCI Integrating EEG and Eye-Tracking for Assisting Clinical Communication in Patients With Disorders of Consciousness;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

4. Cortical Network Transformer for Classification of Structural Connectivity in Cerebral Cortex;IEEE Transactions on Instrumentation and Measurement;2024

5. A Novel EEG-Based Parkinson’s Disease Detection Model Using Multiscale Convolutional Prototype Networks;IEEE Transactions on Instrumentation and Measurement;2024