NDLI: A novel method to detect the a phases of Cyclic Alternating Pattern (CAP) using similarity index

Content Provider	IEEE Xplore Digital Library
Author	Niknazar, H. Seifpour, S. Mikaili, M. Nasrabadi, A.M. Banaraki, A.K.
Copyright Year	2015
Description	Author affiliation: Dept. of Biomed. Eng., Shahed Univ., Tehran, Iran (Seifpour, S.; Mikaili, M.; Nasrabadi, A.M.) \|\| Dept. of Cognitive Neurosci., Inst. for Cognitive Sci. Studies (ICSS) Tehran, Tehran, Iran (Banaraki, A.K.) \|\| Dept. of Biomed. Eng., Islamic Azad Univ., Tehran, Iran (Niknazar, H.)
Abstract	The aim of this study is to implement an automatic system to detect the activation phases of Cyclic Alternating Pattern (CAP). CAP is a sleep phenomenon composed of consecutive sequences of activations and non-activations observed during the sleep time. Statistical Behavior of Local Extrema (SBLE) method is used for feature extraction and similarity index is used for decision making. SBLE is a symbolic technique that can characterize behavior of chaotic signals. The C4-A1 EEG lead of six healthy adult subjects was used. SBLE features are extracted from delta EEG band. By using this method and second by second comparison output of the system with sleep expert visual scoring, sensitivity of 75.83%, specificity of 81.30% and accuracy of 80.51% is achieved.
Starting Page	67
Ending Page	71
File Size	736388
Page Count	5
File Format	PDF
e-ISBN	9781479919727
DOI	10.1109/IranianCEE.2015.7146184
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-05-10
Publisher Place	Iran
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrical engineering Decision support systems Cyclic alternating pattern Sleep Similarity index Symbolic technique EEG SBLE
Content Type	Text
Resource Type	Article

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