Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.13091/1696
Title: | A New Approach for Automatic Sleep Staging: Siamese Neural Networks | Authors: | Efe, Enes Özsen, Seral |
Keywords: | Electroencephalogram (Eeg) Siamese Neural Networks (Snns) Automatic Sleep Staging Convolutional Neural Networks (Cnns) Classification Data Augmentation Wavelet Transform Fault-Diagnosis Eeg Signals Channel System Identification |
Publisher: | Int Information & Engineering Technology Assoc | Abstract: | Sleep staging aims to gather biological signals during sleep, and categorize them by sleep stages: waking (W), non-REM-1 (N1), non-REM-2 (N2), non-REM-3 (N3), and REM (R). These stages are distributed irregularly, and their number varies with sleep quality. These features adversely affect the performance of automatic sleep staging systems. This paper adopts Siamese neural networks (SNNs) to solve the problem. During the network design, seven distance measurement methods, namely, Euclidean, Manhattan, Jaccard, Cosine, Canberra, Bray-Curtis, and Kullback Leibler divergence (KLD), were compared, revealing that Bray-Curtis (83.52%) and Cosine (84.94%) methods boast the best classification performance. The results of our approach are promising compared to traditional methods. | URI: | https://doi.org/10.18280/ts.380517 https://hdl.handle.net/20.500.13091/1696 |
ISSN: | 0765-0019 1958-5608 |
Appears in Collections: | Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections |
Files in This Item:
File | Size | Format | |
---|---|---|---|
38.05_17.pdf | 1.41 MB | Adobe PDF | View/Open |
CORE Recommender
WEB OF SCIENCETM
Citations
1
checked on Apr 20, 2024
Page view(s)
454
checked on Apr 22, 2024
Download(s)
228
checked on Apr 22, 2024
Google ScholarTM
Check
Altmetric
Items in GCRIS Repository are protected by copyright, with all rights reserved, unless otherwise indicated.