A Comparison Study on Multidomain EEG Features for Sleep Stage Classification
المؤلفون المشاركون
Zhang, Yu
Wang, Bei
Jing, Jin
Zhang, Jian
Zou, Junzhong
Nakamura, Masatoshi
المصدر
Computational Intelligence and Neuroscience
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-8، 8ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-11-05
دولة النشر
مصر
عدد الصفحات
8
التخصصات الرئيسية
الملخص EN
Feature extraction from physiological signals of EEG (electroencephalogram) is an essential part for sleep staging.
In this study, multidomain feature extraction was investigated based on time domain analysis, nonlinear analysis, and frequency domain analysis.
Unlike the traditional feature calculation in time domain, a sequence merging method was developed as a preprocessing procedure.
The objective is to eliminate the clutter waveform and highlight the characteristic waveform for further analysis.
The numbers of the characteristic activities were extracted as the features from time domain.
The contributions of features from different domains to the sleep stages were compared.
The effectiveness was further analyzed by automatic sleep stage classification and compared with the visual inspection.
The overnight clinical sleep EEG recordings of 3 patients after the treatment of Continuous Positive Airway Pressure (CPAP) were tested.
The obtained results showed that the developed method can highlight the characteristic activity which is useful for both automatic sleep staging and visual inspection.
Furthermore, it can be a training tool for better understanding the appearance of characteristic waveforms from raw sleep EEG which is mixed and complex in time domain.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Zhang, Yu& Wang, Bei& Jing, Jin& Zhang, Jian& Zou, Junzhong& Nakamura, Masatoshi. 2017. A Comparison Study on Multidomain EEG Features for Sleep Stage Classification. Computational Intelligence and Neuroscience،Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1140962
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Zhang, Yu…[et al.]. A Comparison Study on Multidomain EEG Features for Sleep Stage Classification. Computational Intelligence and Neuroscience No. 2017 (2017), pp.1-8.
https://search.emarefa.net/detail/BIM-1140962
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Zhang, Yu& Wang, Bei& Jing, Jin& Zhang, Jian& Zou, Junzhong& Nakamura, Masatoshi. A Comparison Study on Multidomain EEG Features for Sleep Stage Classification. Computational Intelligence and Neuroscience. 2017. Vol. 2017, no. 2017, pp.1-8.
https://search.emarefa.net/detail/BIM-1140962
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1140962
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر