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

Year Number of Results
1963 1
1965 1
1967 1
1971 3
1972 5
1973 12
1974 10
1975 58
1976 71
1977 53
1978 65
1979 46
1980 99
1981 117
1982 99
1983 89
1984 108
1985 101
1986 83
1987 82
1988 79
1989 84
1990 88
1991 83
1992 61
1993 61
1994 66
1995 59
1996 60
1997 67
1998 94
1999 131
2000 123
2001 143
2002 171
2003 249
2004 338
2005 310
2006 494
2007 470
2008 539
2009 681
2010 716
2011 850
2012 772
2013 720
2014 839
2015 911
2016 938
2017 884
2018 929
2019 425
2020 3
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11,941 results
Results by year
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Page 1
Quantitative methods in electroencephalography to access therapeutic response.
Diniz RC, et al. Biomed Pharmacother 2016 - Review. PMID 27261593
Being the subject of central interest in the training of pharmacists, this work was out with a view to promoting this idea on methods to access the therapeutic response of drugs with central action. This paper discusses quantitative methods (Fast Fourier Transform, Magnitude Square Coherence, Conditional Entropy, Generalised Linear semi-canonical Correlation Analysis, Statistical Parametric Network and Mutual Information Function) used to evaluate the EEG signals obtained after administration regimen of drugs, the main findings and their clinical relevance, pointing it as a contribution to construction of different pharmaceutical practice. ...
Being the subject of central interest in the training of pharmacists, this work was out with a view to promoting this idea on methods
Entropy
Bein B. Best Pract Res Clin Anaesthesiol 2006 - Review. PMID 16634417
Online EEG artifact removal for BCI applications by adaptive spatial filtering
Guarnieri R, et al. J Neural Eng 2018. PMID 29952752
OBJECTIVE: The performance of brain-computer interfaces (BCIs) based on electroencephalography (EEG) data strongly depends on the effective attenuation of artifacts that are mixed in the recordings. ...
OBJECTIVE: The performance of brain-computer interfaces (BCIs) based on electroencephalography (EEG) data strongly depends on the eff …
Surrogate-Based Artifact Removal From Single-Channel EEG
Chavez M, et al. IEEE Trans Neural Syst Rehabil Eng 2018. PMID 29522398
OBJECTIVE: the recent emergence and success of electroencephalography (EEG) in low-cost portable devices, has opened the door to a new generation of applications processing a small number of EEG channels for health monitoring and brain-computer interfacing. ...METHODS: by means of the time-frequency analysis of surrogate data, our approach is able to identify and filter automatically ocular and muscular artifacts embedded in single-channel EEG. ...
OBJECTIVE: the recent emergence and success of electroencephalography (EEG) in low-cost portable devices, has opened the door to a ne …
Methods for artifact detection and removal from scalp EEG: A review.
Islam MK, et al. Neurophysiol Clin 2016 - Review. PMID 27751622
Electroencephalography (EEG) is the most popular brain activity recording technique used in wide range of applications. One of the commonly faced problems in EEG recordings is the presence of artifacts that come from sources other than brain and contaminate the acquired signals significantly. ...In addition, the methods are compared based on their ability to remove certain types of artifacts and their suitability in relevant applications (only functional comparison is provided not performance evaluation of methods). ...
Electroencephalography (EEG) is the most popular brain activity recording technique used in wide range of applications. One of the co
Characterization of electroencephalography signals for estimating saliency features in videos.
Liang Z, et al. Neural Netw 2018. PMID 29763744
In this study, we developed an optimized machine learning-based decoding model to explore the possible relationships between the electroencephalography (EEG) characteristics and visual saliency. ...
In this study, we developed an optimized machine learning-based decoding model to explore the possible relationships between the electroe
Sparse Kernel Machines for motor imagery EEG classification
Oikonomou VP, et al. Conf Proc IEEE Eng Med Biol Soc 2018. PMID 30440374
Among various data acquisition modalities the electroencephalograms (EEG) occupy the most prominent place due to their non-invasiveness. ...
Among various data acquisition modalities the electroencephalograms (EEG) occupy the most prominent place due to their non-invasivene …
11,941 results
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