Automatic Sleep Stage Classification Using Nasal Pressure Decoding Based on a Multi-Kernel Convolutional BiLSTM Network

• Main Authors: Minji Lee (Author), Hyeokmook Kang (Author), Seong-Hyun Yu (Author), Heeseung Cho (Author), Junhyoung Oh (Author), Glenn van der Lande (Author), Olivia Gosseries (Author), Ji-Hoon Jeong (Author)
• Format: Book
• Published: IEEE, 2024-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Sleep quality is an essential parameter of a healthy human life, while sleep disorders such as sleep apnea are abundant. In the investigation of sleep and its malfunction, the gold-standard is polysomnography, which utilizes an extensive range of variables for sleep stage classification. However, un...