Cargando…
A Novel Approach for Sleep Arousal Disorder Detection Based on the Interaction of Physiological Signals and Metaheuristic Learning
The vast majority of sleep disturbances are caused by various types of sleep arousal. To diagnose sleep disorders and prevent health problems such as cardiovascular disease and cognitive impairment, sleep arousals must be accurately detected. Consequently, sleep specialists must spend considerable t...
Autores principales: | Badiei, Afsoon, Meshgini, Saeed, Rezaee, Khosro |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859692/ https://www.ncbi.nlm.nih.gov/pubmed/36688224 http://dx.doi.org/10.1155/2023/9379618 |
Ejemplares similares
-
Evaluation of the PSO Metaheuristic Algorithm in Different Types of Sleep Apnea Diagnosis Using RR Intervals
por: Kohzadi, Zeinab, et al.
Publicado: (2023) -
Sleep Preserves Physiological Arousal in Emotional Memory
por: Ashton, Jennifer E., et al.
Publicado: (2019) -
A Review of Methods for Sleep Arousal Detection Using Polysomnographic Signals
por: Qian, Xiangyu, et al.
Publicado: (2021) -
A medium‐weight deep convolutional neural network‐based approach for onset epileptic seizures classification in EEG signals
por: Nemati, Nazanin, et al.
Publicado: (2022) -
Metaheuristics /
Publicado: (2016)