2 : Deep Sleep (2025)

: It is designed to automatically detect "sleep arousals" (interruptions in sleep) from complex medical data like polysomnograms.

There are several ambient or relaxation tracks titled "Deep Sleep 2" used for meditation or sleep assistance:

: It uses roughly 740,000 parameters to achieve high accuracy while requiring less computing power than its predecessor. 3. The Recommended Hours of Deep Sleep

In the field of medical technology, is a compact convolutional neural network.