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

Author

Niknazar, Hamid ; Seifpour, Saman ; Mikaili, Mohammad ; Nasrabadi, Ali Motie ; Banaraki, Anahita Khorrami

Author_Institution

Dept. of Biomed. Eng., Islamic Azad Univ., Tehran, Iran

fYear

2015

fDate

10-14 May 2015

Firstpage

67

Lastpage

71

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.

Keywords

electroencephalography; feature extraction; medical signal detection; sleep; C4-A1 EEG lead; CAP; SBLE method; activation phases; consecutive sequences; cyclic alternating pattern; delta EEG band; feature extraction; similarity index; sleep phenomenon; sleep time; statistical behavior of local extrema method; Decision support systems; Electrical engineering; EEG; SBLE; cyclic alternating pattern; similarity index; sleep; symbolic technique;

fLanguage

English

Publisher

ieee

Conference_Titel

Electrical Engineering (ICEE), 2015 23rd Iranian Conference on

Conference_Location

Tehran

Print_ISBN

978-1-4799-1971-0

Type

conf

DOI

10.1109/IranianCEE.2015.7146184

Filename

7146184