Advanced Classifiers and Feature Reduction for Accurate Insomnia Detection Using Multimodal Dataset

Advanced Classifiers and Feature Reduction for Accurate Insomnia Detection Using Multimodal Dataset

Sleep deprivation is a significant contributor to various diseases, leading to poor cognitive function, decreased performance, and heart disorders. Insomnia, the most prevalent sleep disorder, requires more effective diagnosis and screening for proper treatment. Actigraphic data and its combination...

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Bibliographic Details
Main Authors: Ameya Chatur, Mostafa Haghi, Nagarajan Ganapathy, Nima TaheriNejad, Ralf Seepold, Natividad Martinez Madrid
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Actigraphy
classification
feature reduction
heart rate variability
insomnia
Online Access:https://ieeexplore.ieee.org/document/10670396/
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