IEEE Technology Students' Symposium 2011
DOI: 10.1109/techsym.2011.5783822
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Expert system design for classification of brain waves and epileptic-seizure detection

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Cited by 5 publications
(5 citation statements)
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“…The data was down-sampled to 250Hz. A cut-off frequency of 0.01 to 60 Hz done by 4 th order band pass Butterworth FIR filter [9] and after 50Hz notch filter was applied for power line interference [11] [12]. Preprocessing was done by eye movement artifact correction, muscle artifact correction and singular value decomposition (SVD) for artifact free data and created linear derivation (LDR) EEG file.…”
Section: Pre-processing and Artifact Removal From Eeg Signalmentioning
confidence: 99%
“…The data was down-sampled to 250Hz. A cut-off frequency of 0.01 to 60 Hz done by 4 th order band pass Butterworth FIR filter [9] and after 50Hz notch filter was applied for power line interference [11] [12]. Preprocessing was done by eye movement artifact correction, muscle artifact correction and singular value decomposition (SVD) for artifact free data and created linear derivation (LDR) EEG file.…”
Section: Pre-processing and Artifact Removal From Eeg Signalmentioning
confidence: 99%
“…The Data was down-sampled to 250 Hz. After that 4th order band-pass Butterworth FIR filter was applied with a cut-off frequency of 0.01 to 60 Hz for attenuate low frequency noise (DC offset voltage, movement artifact) & high frequency noise (environmental noise, instrumental noise), then 50 Hz notch filter was applied for power line interference [3], [8]. After that baseline correction was done.…”
Section: Pre Processing and Artifact Removal From Eeg Signalmentioning
confidence: 99%
“…This is because of two main reasons: one, for brain activity analysis that reveals how different brain regions interact with each other and second, the current necessity to understand how our brains impact our perception of our environment and how our brain function affects our behavior. Electroencephalography (EEG) has an amazing capability to investigate the brain networks and classify the brain state for cognitive function [1], [4], [6], [7], [8] and thus has been extensively used for research and clinical purposes. EEG analyses for Cognitive Functions show us "how" our brain is functioning on neuronal level with macroscopic scale [2], [5].…”
Section: Introductionmentioning
confidence: 99%
“…B RAIN waves recorded from the scalp using non-invasive methods with electroencephalography (EEG) is a standard tool used in various mental health related diagnosis [1]- [3]. It is also becoming a more popular method in multi-disciplinary studies combining neuroscience, psychology, computer science and engineering for various applications [4], [5].…”
Section: Introductionmentioning
confidence: 99%