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Analyzing Sleep Microstructure by Using Support Vector Machine

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6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6) (BME 2017)

Part of the book series: IFMBE Proceedings ((IFMBE,volume 63))

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Abstract

The brain activity during sleep gives us a lot of useful information related to the quality of sleep. Analyzing the appearance of the microwave in the microscopic structure of sleep is especially important. The frequency of occurrence and duration of microwave appear are directly related to the diagnosis and treatment of disorders related to sleep. Arousal is typical behavior for fragmentation level of sleep, which is determined by the events per hour. In this study, we use the Support Vector Machine (SVM) for analysis two types of waves: K-complex and arousal by combining data of EEG and EMG. We build a program with friendly user interface. It can send out alerts and export reports, these reports can be used to support information for doctor’s treatment.

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Acknowledgements

This research is funded by Ho Chi Minh City University of Technology—VNU-HCM, under grant number T-KHUD-2016-73.

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Authors and Affiliations

  1. Biomedical Engineering Department, Faculty of Applied Science, University of Technology, VNU-HCMC, 268 Ly Thuong Kiet, Ho Chi Minh, Vietnam

    Quoc Khai Le, Hoang Kim Khanh Nguyen, Quang Huy Huynh & Quang Linh Huynh

Authors
  1. Quoc Khai Le
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  2. Hoang Kim Khanh Nguyen
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  3. Quang Huy Huynh
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  4. Quang Linh Huynh
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Corresponding author

Correspondence to Quoc Khai Le .

Editor information

Editors and Affiliations

  1. Biomedical Engineering Department, Vietnam National University, Ho Chi Minh , Ho Chi Minh City, Vietnam

    Toi Vo Van

  2. Department of Biomedical Engineering, Vietnam National University, Ho Chi Minh Department of Biomedical Engineering, Ho Chi Minh City, Vietnam

    Thanh An Nguyen Le

  3. Biomedical Engineering Department, Vietnam National University, Ho Chi Minh Biomedical Engineering Department, Ho Chi Minh City, Vietnam

    Thang Nguyen Duc

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Le, Q.K., Nguyen, H.K.K., Huynh, Q.H., Huynh, Q.L. (2018). Analyzing Sleep Microstructure by Using Support Vector Machine. In: Vo Van, T., Nguyen Le, T., Nguyen Duc, T. (eds) 6th International Conference on the Development of Biomedical Engineering in Vietnam (BME6) . BME 2017. IFMBE Proceedings, vol 63. Springer, Singapore. https://doi.org/10.1007/978-981-10-4361-1_51

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  • DOI: https://doi.org/10.1007/978-981-10-4361-1_51

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-4360-4

  • Online ISBN: 978-981-10-4361-1

  • eBook Packages: EngineeringEngineering (R0)

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