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Application-specific multichannel EEG data acquisition system for portable biomedical application
(Malaysian Technical Universities Network (MTUN), 2012-11-20)
This paper presents the design and construction of a low power application-specific EEG bio-potential multichannel
amplifier with high common mode rejection ratio (CMRR) and high input impedance. The bio-potential amplifier ...
Improving classification of EEG signals for a four-state brain machine interface
(Institute of Electrical and Electronics Engineers (IEEE), 2012)
Neural network classifiers are one among the popular modes in the design of classifiers for electroencephalograph based brain machine interfaces. This study presents algorithms to improve the classification performance of ...
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 ...
Adaptive boosting with SVM classifier for moving vehicle classification
(Malaysian Technical Universities Network (MTUN), 2012-11-20)
This study examines co-solvent modified supercritical carbon dioxide (SC-CO2) to extract the saturated fatty acids from palm oil. The applied pressure was ranging from 60 to 180 bar and the extraction temperatures were ...
EEG based detection of conductive and sensorineural hearing loss using artificial neural networks
(Advanced Institute of Convergence IT, 2013-05)
In this paper, a simple method has been proposed to distinguish the normal and abnormal hearing subjects (conductive or sensorineural hearing loss) using acoustically stimulated EEG signals. Auditory Evoked Potential (AEP) ...