AI has made significant advancements in sleep medicine
FREMONT, CA: Sleep medicine is gaining practical significance today despite extensive research on its health benefits. It primarily focuses on diagnosing and treating sleep disorders and disturbances, including narcolepsy, obstructive sleep apnea, and insomnia.
According to recent research, 2-4 percent of women and 4-7 percent of men have sleep apnea, a condition linked to serious health concerns, including cardiovascular disease.
Evolution of artificial intelligence base sleeps staging: Artificial intelligence-based sleep staging evolution. Using a learning vector quantizes and the induction of decision trees to stage polygraphic data in eight newborns resulted in one of the first studies of AI sleep grading that showed overall recognition accuracy of 75 percent.
Sleep staging channels: Electroencephalogram (EEG) signals are typically used in studies to stage sleep. Some studies have combined EEG channels with electromyogram (EMG) and electro-oculogyric. Most experts agree that using multi-channel EEG enhances performance.
Manufacturers should support sleep disorder centers in assessing the performance of AI-based software to establish its practical, laboratory-specific utility following the procedures surrounding the acceptance of any new technology in the sleep laboratory.
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