Vertical nystagmus recognition based on deep learning

HIGHLIGHTS

• who: Haibo Li and Zhifan Yang from the College of Electronic and Electrical Engineering, Shanghai University of Engineering Science, Longteng Road, Shanghai, China have published the research work: Vertical Nystagmus Recognition Based on Deep Learning, in the Journal: Sensors 2023, 23, x FOR PEER REVIEW of /2023/
• what: In this paper a vertical nystagmus recognition method is proposed based on deep learning. This model has been verified in BPPV patients and has high sensitivity and accuracy in nystagmus detection and disease diagnosis.
• how: Attention Module This paper introduces the convolutional block attention module . . .
  

   

  

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