Tetanus severity classification in low-middle income countries through ECG wearable sensors and a 1D-vision transformer

Geahča maid

• Tetanus Severity Classification in Low-Middle Income Countries through ECG Wearable Sensors and a 1D-Vision Transformer
  Dahkki: Ping Lu, et al.
  Almmustuhtton: (2024-01-01)
• 2D-WinSpatt-Net: a dual spatial self-attention Vision Transformer boosts classification of tetanus severity for patients wearing ECG sensors in low- and middle-income countries
  Dahkki: Lu, P, et al.
  Almmustuhtton: (2023)
• Classification of tetanus severity in intensive-care settings for low-income countries using wearable sensing
  Dahkki: Lu, P, et al.
  Almmustuhtton: (2022)
• Improving classification of tetanus severity for patients in low-middle income countries wearing ECG sensors by using a CNN-transformer network
  Dahkki: Lu, P, et al.
  Almmustuhtton: (2022)
• 2D-WinSpatt-Net: A Dual Spatial Self-Attention Vision Transformer Boosts Classification of Tetanus Severity for Patients Wearing ECG Sensors in Low- and Middle-Income Countries
  Dahkki: Ping Lu, et al.
  Almmustuhtton: (2023-09-01)