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An approach to improve the performance of subject-independent BCIs-based on motor imagery allocating subjects by gender

  • Published:2014 Issue:1 Volume:13 Page:158
  • ISSN:1475-925X
  • Container-title:BioMedical Engineering OnLine
  • language:en
  • Short-container-title:BioMedical Engineering OnLine

Author:

Cantillo-Negrete Jessica,Gutierrez-Martinez Josefina,Carino-Escobar Ruben I,Carrillo-Mora Paul,Elias-Vinas David

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,Biomedical Engineering,General Medicine,Biomaterials,Radiological and Ultrasound Technology

Cited by 27 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. Exploring the Effect of Age and Sex on Subject-Independent EEG-Based Emotion Recognition Methods;2024 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE);2024-08-06

2. Large scale investigation of the effect of gender on mu rhythm suppression in motor imagery brain-computer interfaces;Brain-Computer Interfaces;2024-05-04

3. Subject-Independent Deep Architecture for EEG-Based Motor Imagery Classification;IEEE Transactions on Neural Systems and Rehabilitation Engineering;2024

4. A comprehensive guide to BCI-based stroke neurorehabilitation interventions;MethodsX;2023-12

5. Virtual Hand Illusion-Based Motor Imagery Guidance System for Stroke Patients: A Pilot Study;2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE);2023-10-25
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