The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE
Transactions ID Number: 53-349
Full Name: Girisha Garg
Position: Ph.D. Candidate
Age: ON
Sex: Female
Address: Room no.119, Block VI, ICE department, NSIT Campus, Dwarka, Sec-3
Country: INDIA
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E-mail address: girishagarg@gmail.com
Other E-mails: garg.girisha@gmail.com
Title of the Paper: Computer Assisted Automatic Sleep Scoring System Using Relative Wavelet Energy Based Neuro Fuzzy Model
Authors as they appear in the Paper: Girisha Garg, Vijander Singh, J.R.P Gupta, A.P. Mittal, Sushil Chandra
Email addresses of all the authors: girishagarg@gmail.com
Number of paper pages: 14
Abstract: - This paper addresses the automated scoring of sleep stages using Electroencephalograph (EEG). The change in the Sleep Stages is accompanied by changes in the frequency spectrum of the EEG signals. A novel method based on Relative Wavelet Energy based Neuro-fuzzy is proposed to perform automatic sleep stages classification. Features extracted from 30-second epoch of (EEG) using relative wavelet energy are used for representing the EEG signal of different sleep stages. This method gives the best feature vector in terms of specificity and dimension. A neuro-fuzzy based ANFIS model is employed to classify these features to one appropriate stage. The sleep scoring is done for five stages namely, wake, sleep stages: stage1, stage 2, slow wave sleep (stage 3 & 4) and stage 5.The physionet database is used to validate the accuracy of the proposed automatic classification system. The hypnogram generated is compared with the standard hypnogram based on expert rule. The sy!
stem can be used for real time implementation owing to high classification rate (97.4%), low computational cost, high speed and its feasibility to be implemented on hardware. The result of the study provides a framework of methodology that can be used to design computer assisted sleep scoring systems.
Keywords: Automated Sleep Scoring, hypnogram, EEG, Relative Wavelet energy, ANFIS, Physionet
EXTENSION of the file: .pdf
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How Did you learn about congress: EEG, Biomedical Signals, Automated Sleep Scoring, Feature Extraction, Classification
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