SLEEP EEG DATASET ANALYSIS USING ASSORTED TOOLS AND TECHNIQUES- MATLAB, POLYMAN, GNU OCTAVE
Journal: International Journal of Computer Engineering and Technology (IJCET) (Vol.9, No. 4)Publication Date: 2018-12-27
Authors : APRAJITA SAMBYAL BIKRAM PAL KAUR; HARLIV KAUR;
Page : 49-56
Keywords : Electroencephalography (EEG); European Data Format (EDF); EEG Lab; Hypnograms; Ocatve; Polyman.;
Abstract
This paper explores and analyzes the Electroencephalography signals using EEG lab. The research dataset is captured from Physionet, https://www.physionet.org in which the Biomedical data is available for research activities on brain waves and EEG analysis. The implementation and analysis of Electroencephalography(EEG) sleep signals is done using explicit tools- Polyman and Octave. Octave is GNU based tool for scientific applications which works as an alternative to MATLAB for diverse engineering applications.
Other Latest Articles
- CONTENT BASED AUDIO CLASSIFICATION USING ARTIFICIAL NEURAL NETWORK TECHNIQUES
- SUPRA PAIRWISE CONNECTED AND PAIRWISE SEMI-CONNECTED SPACES
- Implementation of Web – Based Bike Renting Application “Bike – Sharing”
- ROUGH SET THEORY APPLICATIONS ON MEASURING TEXT MINING TASKS
- SETUP AND EXPERIMENT WITH GEO-REDUNDANT TESTING FRAMEWORK (TF2GRACE)
Last modified: 2018-12-08 14:52:29