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11 September 2023 Automated sleep staging based on multi-module neural network using simpler signal: respiratory signal
Yinqing Que, Pengyi Jiang, Tianyi Zhang, Yunzhang Cheng
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Proceedings Volume 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023); 127791T (2023) https://doi.org/10.1117/12.2688854
Event: Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 2023, Kunming, China
Abstract
Sleeping is a vital biological state which help maintaining the homeostasis of organisms of all biological lives. A full sleep can be divided into different repeating stages, Rapid Eye Movement sleep (REM) stage, Non-Rapid Eye Movement Sleep (NREM) stage one to four. An effective sleep staging system can help patients improving their sleep quality. In the past, patients are required to wear Polysomnogram (PSG) for the whole night to collect signals like Electroencephalogram (EEG), Electrooculogram (EOG), Electromyogram (EMG) for diagnosis. And the traditional sleep staging system use one or more signals above to predict a sleep stage. In this paper, we introduce a new sleep staging algorithm based on machine learning. Our model has two main inputs: patients’ respiratory signal and their physical data, like age, gender, and weight. The strategy is to use two CNNs to extract features from raw respiratory signal in time domain and frequency domain, several Word2vec layers are built to extract features from patients’ meta data and a transformer encoder to collect all the features. Using the MIT-BIH Polysomnographic database, our model achieves a result of 81.96% accuracy. This shows that it is completely feasible to classify patients’ sleep stage with their respiratory signal and meta information.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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Yinqing Que, Pengyi Jiang, Tianyi Zhang, and Yunzhang Cheng "Automated sleep staging based on multi-module neural network using simpler signal: respiratory signal", Proc. SPIE 12779, Seventh International Conference on Mechatronics and Intelligent Robotics (ICMIR 2023), 127791T (11 September 2023); https://doi.org/10.1117/12.2688854
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KEYWORDS
Feature extraction
Polysomnography
Electroencephalography
Databases
Data modeling
Education and training
Neural networks
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