Browsing Abdul Hamid Adom, Prof. Dr. by Subject "Brain machine interface"
Now showing items 1-4 of 4
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BMI using spectral energy entropy for colour visual tasks
(Universiti Malaysia Perlis (UniMAP)Centre for Graduate Studies, 2010-10-16)EEG signals are the electrophysiological measures of brain function and it is used to develop a Brain machine Interface. A Brain machine Interface (BMI) system is used to provide a communication and control technology ... -
Brain machine interface for physically retarded people using colour visual tasks
(IEEE Conference Publications, 2010-05)A Brain Machine Interface is a communication system which connects the human brain activity to an external device bypassing the peripheral nervous system and muscular system. It provides a communication channel for the ... -
Brain machine interface: Analysis of segmented EEG signal classification using short-time PCA and recurrent neural networks
(University of Basrah, 2008)Brain machine interface provides a communication channel between the human brain and an external device. Brain interfaces are studied to provide rehabilitation to patients with neurodegenerative diseases; such patients ... -
Classification of EEG colour imagination tasks based BMI using energy and entropy features
(Universiti Malaysia Perlis (UniMAP)School of Mechatronic Engineering, 2012-02-27)Electroencephalogram (EEG) signals are the electrophysiological measures of brain function and it is used to develop a brain machine interface. Brain machine interface (BMI) system is used to provide a communication and ...