Prediction of Sleep Stages Via Deep Learning Using Smartphone Audio Recordings in Home Environments: Model Development and Validation

BACKGROUND: The growing public interest and awareness regarding the significance of sleep is driving the demand for sleep monitoring at home. In addition to various commercially available wearable and nearable devices, sound-based sleep staging via deep learning is emerging as a decent alternative f...

Descripción completa

Detalles Bibliográficos
Autores principales: Tran, Hai Hong, Hong, Jung Kyung, Jang, Hyeryung, Jung, Jinhwan, Kim, Jongmok, Hong, Joonki, Lee, Minji, Kim, Jeong-Whun, Kushida, Clete A, Lee, Dongheon, Kim, Daewoo, Yoon, In-Young
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273036/
https://www.ncbi.nlm.nih.gov/pubmed/37261889
http://dx.doi.org/10.2196/46216

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10273036/
https://www.ncbi.nlm.nih.gov/pubmed/37261889
http://dx.doi.org/10.2196/46216

Ejemplares similares