Subjects

Subjects

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  • Enhancing motor imagery based brain computer interfaces for stroke rehabilitation 
    Soni, Saher; Chaudhary, Shivam; Miyapuram, Krishna Prasad (Association for Computing Machinery, 2024-01-04)
    Globally, the prevalence of disabilities among stroke survivors exceeds 80%, with upper-limb movement impairments affecting over 85% of individuals. To address this challenge, motor imagery (MI) based brain-computer interface ...
  • Towards optimising EEG decoding using post-hoc explanations and domain knowledge 
    Rajpura, Param; Meena, Yogesh Kumar (Institute of Electrical and Electronics Engineers (IEEE), 2024-07-15)
    Decoding Electoencephalography (EEG) during motor imagery is pivotal for the Brain-Computer Interface (BCI) system, influencing its overall performance significantly. As end-to-end data-driven learning methods advance, the ...

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