Single channel electroencephalogram feature extraction based on probability density function for synchronous brain computer interface

• Main Authors: Shawkany Hazim, M. S. A., Mat Safri, N., Othman, M. A.
• Format: Article
• Language: English
• Published: Penerbit UTM Press 2016
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/id/eprint/71184/1/MuhammadShaufilAdha2016_SingleChannelElectroencephalogramFeatureExtraction.pdf; http://eprints.utm.my/id/eprint/71184/; https://www.scopus.com/inward/record.uri?eid=2-s2.0-84979666758&doi=10.11113%2fjt.v78.9457&partnerID=40&md5=07b399e609129362a453aedcdb23c2f0
• Institution: Universiti Teknologi Malaysia

Over recent years, there has been an explosive growth of interest in Electroencephalogram (EEG) based-Brain Computer Interface (BCI). Technically any architecture of a BCI is designed to have the ability of extracting out a set of features from brain signal. This paper demonstrated the extraction pr...