Tag: sleep staging

A deep-learning framework classified sleep stages from single-channel EEG with reported accuracies of 84.5% to 87.0% across three public datasets, ...

An exploratory study of 24 healthy adults found consistent asymmetric associations among slow brain, heart, and bowel-sound signals during sleep, ...

Researchers have developed an unsupervised algorithm that uses topological data analysis to detect functional stages in EEG recordings from meditation ...

A deep learning system validated in atrial fibrillation patients reconstructs sleep stages, arousals, and apnea severity from breathing signals alone, ...

A deep learning model can estimate objective daytime sleepiness from a simple fingertip pulse wave recording, achieving about 80 percent ...