HARU Sleep: A Deep Learning-Based Sleep Scoring System With Wearable Sheet-Type Frontal EEG Sensors

HARU Sleep: A Deep Learning-Based Sleep Scoring System With Wearable Sheet-Type Frontal EEG Sensors

Analysis of sleep stages using electroencephalograms (EEGs), a critical procedure in health monitoring, has been researched extensively. Scoring of the sleep stages is highly dependent on experts’ knowledge or hand-crafted features created by experts. Recent advancements in deep learning...

Full description

Bibliographic Details
Main Authors: Shoya Matsumori, Kosei Teramoto, Hiroya Iyori, Takanori Soda, Shusuke Yoshimoto, Haruo Mizutani
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Electroencephalography (EEG)
portable EEG sensor
sleep recording
home polysomnography
sleep stages
Online Access:https://ieeexplore.ieee.org/document/9693520/

Internet

https://ieeexplore.ieee.org/document/9693520/

Similar Items