2 results match your criteria: "Innovative Medical and Health Technology Center (IMHTC)[Affiliation]"

Article Synopsis
  • The research presents a method for automatically classifying wakefulness and deep sleep (N3) using EEG signals, following American Academy of Sleep Medicine standards.
  • By employing time-frequency analysis with the Wigner-Ville Distribution and optimizing thresholds through Particle Swarm Optimization, the study aims to replicate a sleep technician's scoring process automatically.
  • Validation with overnight PSG recordings showed high accuracy and reliability, suggesting this method could effectively classify sleep stages and potentially extend to all stages in the future.
View Article and Find Full Text PDF

In 2017, the Asia-Pacific Economic Cooperation Sleep Technology Agenda emphasized the impacts of sleep health on road safety. An official meeting between the Department of Transportation of United States and the International Sleep Science and Technology Association took place in Washington, DC, on February 3, 2020. This was followed by several meetings in Taiwan advocated by the International Sleep Science and Technology Association Taiwan Chapter.

View Article and Find Full Text PDF