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Information Journal Paper

Title

Automatic Stage Scoring of Single-Channel Sleep EEG using Discrete Wavelet Transform and a hybrid model of ant colony optimizer and neural network based on RUSBoost Classifier

Pages

  213-226

Abstract

 The automatic classification of sleep stages is essential for the timely detection of disorders and the sleep-related studires. In this paper, a single-channel EEG-based algorithm is used to automatically identify the sleep stages using Discrete wavelet transform and the hybrid model of ant colony optimiser and the neural network based on RUSBoost. The signal is decomposed using a Discrete wavelet transform into four levels and statistical properties of each level is calculated. To optimize and reduce the dimensions of feature vectors, the hybrid model of ant colony optimizer algorithm and the multi-layered neural network are used. Then ANOVA test is applied to validate the selected features. Finally the classification is performed on RUSBoost, which provides an average of 90% classification accuracy for 2 to 6-class classification of different steps of sleep EEG. Suggesting that the proposed method has higher degree of success in classifying sleep stages compared to the existing methods.

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  • Cite

    APA: Copy

    SHEYKHIVAND, S., & GHAEMI, S.. (2019). Automatic Stage Scoring of Single-Channel Sleep EEG using Discrete Wavelet Transform and a hybrid model of ant colony optimizer and neural network based on RUSBoost Classifier. IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, 13(3 ), 213-226. SID. https://sid.ir/paper/81706/en

    Vancouver: Copy

    SHEYKHIVAND S., GHAEMI S.. Automatic Stage Scoring of Single-Channel Sleep EEG using Discrete Wavelet Transform and a hybrid model of ant colony optimizer and neural network based on RUSBoost Classifier. IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING[Internet]. 2019;13(3 ):213-226. Available from: https://sid.ir/paper/81706/en

    IEEE: Copy

    S. SHEYKHIVAND, and S. GHAEMI, “Automatic Stage Scoring of Single-Channel Sleep EEG using Discrete Wavelet Transform and a hybrid model of ant colony optimizer and neural network based on RUSBoost Classifier,” IRANIAN JOURNAL OF BIOMEDICAL ENGINEERING, vol. 13, no. 3 , pp. 213–226, 2019, [Online]. Available: https://sid.ir/paper/81706/en

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