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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 11

Eeg sleep staging algorithm based on multi-view and multi-feature integration model

Wang Xucan1a,2
Zhou Qiang1a,2
Li Wan1b,2
1. a. School of Electrical & Control Engineering, b. School of Electronic Information & Artificial Intelligence, Shaanxi University of Science & Technology, Xi'an 710021, China
2. Shaanxi Artificial Intelligence Joint Laboratory, Xi'an 710021, China
DOI: 10.19734/j.issn.1001-3695.2025.05.0130

Abstract

With single-channel electroencephalogram (EEG) signal analysis replacing multi-channel EEG as the main sleep staging mode, the spatial information in the original time-space-frequency three-dimensional information is lost, and most sleep staging methods lack frequency analysis capabilities, resulting in the underutilization of the EEG frequency domain. In addition, the class imbalance among sleep stages has jointly led to the difficulty in improving the accuracy of sleep staging methods. Aiming at the above shortcomings, this paper proposes a sleep staging algorithm IM-MVFNet based on integrated model (IM) and multi-view fusion network (MVFNet) . In order to fully tap the different dimensional information of EEG signals, one-dimensional and two-dimensional networks are respectively used to extract features from the original EEG signals in the time-space domain and the short-time power spectrum maps of EEG in the time-frequency domain. Then, the stacking generalization (SG) method is used to combine the two heterogeneous networks to fuse the extracted diverse features. Finally, the adaptive boosting (AdaBoost) algorithm is used to complete the sleep staging. The proposed IM-MVFNet achieves an accuracy of 89.6% on the Fpz-Cz and Pz-Oz channels of the public dataset Sleep-EDFx, and various indicators are better than other algorithms in recent years.

Foundation Support

国家自然科学基金资助项目(62101312)
陕西省科技厅工业项目(2024GX-YBXM-544)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.05.0130
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 11

Publish History

[2025-07-24] Accepted Paper

Cite This Article

王旭粲, 周强, 李婉. 基于多视图多特征集成模型的EEG睡眠分期算法 [J]. 计算机应用研究, 2025, 42 (11). (2025-07-24). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0130. (Wang Xucan, Zhou Qiang, Li Wan. Eeg sleep staging algorithm based on multi-view and multi-feature integration model [J]. Application Research of Computers, 2025, 42 (11). (2025-07-24). https://doi.org/10.19734/j.issn.1001-3695.2025.05.0130. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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