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Transferring a deep learning model from healthy subjects to stroke patients in a motor imagery brain-computer interface.

Aarthy NagarajanNeethu RobinsonKai Keng AngKaren Sui Geok ChuaEffie ChewCuntai Guan
Published in: Journal of neural engineering (2023)
Transfer learning from healthy to stroke can enhance the clinical use of BCI algorithms by overcoming the challenge of insufficient clinical data for optimal training.
Keyphrases
  • deep learning
  • atrial fibrillation
  • artificial intelligence
  • convolutional neural network
  • white matter
  • big data