A Sleep Staging Method Combining Grouping Convolution with Semi-Supervised Learning

doi:10.13190/j.jbupt.2021-246

Journal of Beijing University of Posts and Telecommunications ›› 2022, Vol. 45 ›› Issue (4): 7-12.doi: 10.13190/j.jbupt.2021-246

• Special Topics on Intelligent Medical • Previous Articles Next Articles

A Sleep Staging Method Combining Grouping Convolution with Semi-Supervised Learning

XIE Pan¹, PENG Caijing², HE Zhihui², ZHANG Yuan¹

1. College of Electronic and Information Engineering, Southwest University, Chongqing 400715, China;
2. Department of Pediatric Respiratory, the Ninth People's Hospital of Chongqing, Chongqing 400715, China

Received:2021-10-20 Online:2022-08-28 Published:2022-09-03

Abstract

Abstract: Sleep is an important physiological activity of human body, and the quality of sleep affects physical and mental health. Most of the existing sleep staging is based on supervised learning, which is highly dependent on a large number of high-quality label data, and the extracted features are relatively rough. To save this issue, a sleep staging method combining grouped convolutional neural network and semi-supervised learning is proposed. First, the grouping residual convolution network is used as the backbone network to ensure the diversity of learning features and take the information from multiple subspaces into consideration, which extracts multi-angle features. Then, to reduce the workload of annotation technicians, semi-supervised learning method is adopted to extract features from a large number of unlabeled data and compete with those extracted from labeled data, which can obtain more fine-grained features. The experimental results show that the accuracy of sleep staging on sleep-EDFx can reach 0.837±0.001, and the Kappa coefficient reaches 0.774±0.002, which performs better than the baseline algorithm. The method presented has a good application prospect in the combination of medicine and industry.

Key words: sleep stage, electroencephalogram, semi-supervise, grouping convolution

CLC Number:

XIE Pan, PENG Caijing, HE Zhihui, ZHANG Yuan. A Sleep Staging Method Combining Grouping Convolution with Semi-Supervised Learning[J]. Journal of Beijing University of Posts and Telecommunications, 2022, 45(4): 7-12.

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A Sleep Staging Method Combining Grouping Convolution with Semi-Supervised Learning

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