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2011 Third International Conference on Computational Intelligence, Communication Systems and Networks 2011
DOI: 10.1109/cicsyn.2011.84
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Development of Brainwave Balancing Index Using EEG

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Cited by 8 publications
(5 citation statements)
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“…Artifact from subject such as body movement, EMG or ECG can be reduces by conducting proper EEG procedure. But artifact from technical such as 50-60 Hz power line noise can only be removed by filtering [8] [15].…”
Section: Signal Processingmentioning
confidence: 99%
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“…Artifact from subject such as body movement, EMG or ECG can be reduces by conducting proper EEG procedure. But artifact from technical such as 50-60 Hz power line noise can only be removed by filtering [8] [15].…”
Section: Signal Processingmentioning
confidence: 99%
“…Notch filter was use to remove the 50 Hz power line noise [8] [15].In addition, software such as Savitzky-Golay [2], Matlab algorithm [7][8], Independent Component Analysis, ICA [14] [16] can be used to remove the artifact in brainwave signal. Furthermore, the metric in the filter data can be calculated in each of the electrode.…”
Section: Signal Processingmentioning
confidence: 99%
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“…Pandriad et al assessed the impact of biofeedback and neurofeedback training on smokers working on smoking cessation projects, exploring possible correlations between subjective mood scores and training performance [16]. Murat et al developed the brainwave balancing index (BBI), which uses the subject's ability to think and work as direct indicators to generate vast opportunities for improving human potential [17]. Cevat Unal et al suggested that gamma activity was significantly higher on the right side of the brain compared to the left side [18], and Sümeyra Altan et al suggested that neurofeedback can be used to restore sympathovagal imbalances.…”
Section: Related Workmentioning
confidence: 99%