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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
1958 12
1959 8
1960 7
1961 10
1962 5
1967 1
1968 2
1969 1
1978 1
1979 1
1980 2
1986 1
1988 4
1989 6
1990 13
1991 15
1992 12
1993 14
1994 18
1995 33
1996 35
1997 48
1998 53
1999 68
2000 66
2001 69
2002 74
2003 33
2004 68
2005 71
2006 118
2007 139
2008 75
2009 78
2010 75
2011 45
2012 43
2013 58
2014 33
2015 49
2016 23
2017 23
2018 32
2019 16
2020 0
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1,437 results
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Page 1
Highly Efficient Compression Algorithms for Multichannel EEG
Shaw L, et al. IEEE Trans Neural Syst Rehabil Eng 2018. PMID 29752230
The difficulty associated with processing and understanding the high dimensionality of electroencephalogram (EEG) data requires developing efficient and robust compression algorithms. ...The proposed methods are designed to compress a large amount of multichannel EEG data efficiently so that the data storage and transmission bandwidth can be effectively used. ...
The difficulty associated with processing and understanding the high dimensionality of electroencephalogram (EEG) data require …
Real-Time Clustered Multiple Signal Classification (RTC-MUSIC)
Dinh C, et al. Brain Topogr 2018. PMID 28879632 Free PMC article.
Magnetoencephalography (MEG) and electroencephalography provide a high temporal resolution, which allows estimation of the detailed time courses of neuronal activity. ...We evaluated RTC-MUSIC by analyzing MEG auditory and somatosensory data. The results demonstrate that the proposed method localizes sources reliably. ...
Magnetoencephalography (MEG) and electroencephalography provide a high temporal resolution, which allows estimation of the detailed t …
A Novel Technique for Selecting EMG-Contaminated EEG Channels in Self-Paced Brain-Computer Interface Task Onset
Song Y and Sepulveda F. IEEE Trans Neural Syst Rehabil Eng 2018. PMID 29985144
Electromyography artifacts are a well-known problem in electroencephalography studies [brain-computer interfaces (BCIs), brain mapping, and clinical areas]. ...With BCI competition data, we saw improvement in 60% of the cases for ICA and BSS-CCA. The simple method proposed in this paper showed improvement in class separation with both our data and the BCI competition data. ...
Electromyography artifacts are a well-known problem in electroencephalography studies [brain-computer interfaces (BCIs), brain mappin …
Quantitative measures of EEG for prediction of outcome in cardiac arrest subjects treated with hypothermia: a literature review
Asgari S, et al. J Clin Monit Comput 2018 - Review. PMID 29480385
Studies have shown that electroencephalography (EEG) may assist in early prognosis of CA outcome. However, visual EEG interpretation is subjective, labor-intensive, and requires interpretation by a medical expert, i.e., neurophysiologists. ...
Studies have shown that electroencephalography (EEG) may assist in early prognosis of CA outcome. However, visual EEG interpretation …
A predictive epilepsy index based on probabilistic classification of interictal spike waveforms
Pfammatter JA, et al. PLoS One 2018. PMID 30399183 Free PMC article.
We present a probability-based, automated method for the classification and quantification of interictal events, using EEG data from kainate- and saline-injected mice (C57BL/6J background) several weeks post-treatment. ...Importantly, in both data sets, animals that had electrographic seizures also had a high Index. This analysis is fast, unbiased, and provides information regarding the salience of spike morphologies for disease progression. ...
We present a probability-based, automated method for the classification and quantification of interictal events, using EEG data from …
EEG-Annotate: Automated identification and labeling of events in continuous signals with applications to EEG
Su KM, et al. J Neurosci Methods 2018. PMID 29061343 Free article.
We have developed an implementation available as an open-source MATLAB toolbox (http://github.com/VisLab/EEG-Annotate) and have made test data available in a separate data note. RESULTS: We applied the method to identify visual presentation events (both target and non-target) in data from an unlabeled subject using labeled data from other subjects with good sensitivity and specificity. ...
We have developed an implementation available as an open-source MATLAB toolbox (http://github.com/VisLab/EEG-Annotate) and have made test …
EEG in neonates: Forward modeling and sensitivity analysis with respect to variations of the conductivity
Azizollahi H, et al. Math Biosci Eng 2018. PMID 30380315 Free article.
The paper is devoted to the analysis of electroencephalography (EEG) in neonates. The goal is to investigate the impact of fontanels on EEG measurements, i.e. on the values of the electric potential on the scalp. ...Numerical simulations for a three-layer spherical model as well as for a realistic neonatal head model including or not the fontanels have been obtained and corroborate the theoretical results. ...
The paper is devoted to the analysis of electroencephalography (EEG) in neonates. The goal is to investigate the impact of fontanels …
STEW: Simultaneous Task EEG Workload Data Set.
Lim WL, et al. IEEE Trans Neural Syst Rehabil Eng 2018. PMID 30281467
This paper describes an open access electroencephalography (EEG) data set for multitasking mental workload activity induced by a single-session simultaneous capacity (SIMKAP) experiment with 48 subjects. ...
This paper describes an open access electroencephalography (EEG) data set for multitasking mental workload activity induced by …
Test-retest reliability of a single-channel, wireless EEG system
Rogers JM, et al. Int J Psychophysiol 2016. PMID 27318008
Recording systems to acquire electroencephalogram (EEG) data are traditionally lab-based. However, there are shortcomings to this method, and the ease of use and portability of emerging wireless EEG technologies offer a promising alternative. ...Combined with existing validity data, these findings encourage application of the portable EEG system for the study of brain function....
Recording systems to acquire electroencephalogram (EEG) data are traditionally lab-based. However, there are shortcomings to t …
1,437 results
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