Automated Detection of Sleep Apnea-Hypopnea Events Based on 60 GHz Frequency-Modulated Continuous-Wave Radar Using Convolutional Recurrent Neural Networks: A Preliminary Report of a Prospective Cohort Study

Radar is a promising non-contact sensor for overnight polysomnography (PSG), the gold standard for diagnosing obstructive sleep apnea (OSA). This preliminary study aimed to demonstrate the feasibility of the automated detection of apnea-hypopnea events for OSA diagnosis based on 60 GHz frequency-mod...

Descripción completa

Detalles Bibliográficos
Autores principales: Choi, Jae Won, Kim, Dong Hyun, Koo, Dae Lim, Park, Yangmi, Nam, Hyunwoo, Lee, Ji Hyun, Kim, Hyo Jin, Hong, Seung-No, Jang, Gwangsoo, Lim, Sungmook, Kim, Baekhyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570824/
https://www.ncbi.nlm.nih.gov/pubmed/36236274
http://dx.doi.org/10.3390/s22197177

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9570824/
https://www.ncbi.nlm.nih.gov/pubmed/36236274
http://dx.doi.org/10.3390/s22197177

Ejemplares similares