Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network - Lee, Minji; Kang, Hyeokmook; Yu, Seong-Hyun; Cho, Heeseung; Oh, Junhyoung; van der Lande, Glenn; Gosseries, Olivia; Jeong, Ji-Hoon (IEEE transactions on neural systems and rehabilitation engineering, 2024)
Keywords: Accuracy; Adult; Algorithms; biomedical application; Biomedical applications; Biomedical Engineering; Brain modeling; Deep Learning; Electroencephalography; F1 scores; Feature extraction; Female; healthcare; Healthy Volunteers; Humans; Internal Medicine; Kappa values; Male; Multi-kernel; nasal pressure; Neural Networks, Computer; Neuroscience (all); Neurosciences & behavior; Neurosciences & comportement; Nose; Nose - physiology; Polysomnography; Pressure; Rapid eye movement; Rehabilitation; Sciences sociales & comportementales, psychologie; Sleep; Sleep stage classification; Sleep Stages; Sleep Stages - physiology; Sleep stages classifications; Sleep, REM; Sleep, REM - physiology; Social & behavioral sciences, psychology; Wakefulness; Wakefulness - physiology; Young Adult