S-52: Sleep Challenge 2025 Exhibition: Predicting all-cause mortality using physiological signals from the PSG
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Session Schedule
Find a specific presentation in the course by navigating to the timestamp indicated below.
0:00:00
Sleep challenges: A catalyst for big data innovation and transformation
Diane Lim (United States)
0:15:17
Chaos theory-driven approach to analyzing biosignals
Yu-Hsin Chen (Taiwan)
0:31:20
Deep learning models to detect sleep patterns.
Poul Jørgen Jennum (Denmark)
0:46:05
Physiological networks applied to sleep apnea patients
Ronny Bartsch (Israel)
1:11:20
A clinically guided weighted hypoxemia approach for mortality prediction
Cheng-Bang Chen (United States)
Summary
As sleep science embraces big data, artificial intelligence, and advanced measurement technologies, innovative methods for analyzing complex physiological signals have become essential.
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