Electroencephalography

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Electroencephalography (EEG) is the recording of electrical activity along the scalp. (Wikipedia.org)






Conferences related to Electroencephalography

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2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE


2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)

The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging.ISBI 2019 will be the 16th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2019 meeting will continue this tradition of fostering cross fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2018 will be the 15th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2018 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2017 will be the 14th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2017 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI 2016)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forumfor the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2016 willbe the thirteenth meeting in this series. The previous meetings have played a leading role in facilitatinginteraction between researchers in medical and biological imaging. The 2016 meeting will continue thistradition of fostering crossfertilization among different imaging communities and contributing to an integrativeapproach to biomedical imaging across all scales of observation.

  • 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2015 will be the 12th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI 2014)

    The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2014 will be the eleventh meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2014 meeting will continue this tradition of fostering crossfertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.

  • 2013 IEEE 10th International Symposium on Biomedical Imaging (ISBI 2013)

    To serve the biological, biomedical, bioengineering, bioimaging and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2012 IEEE 9th International Symposium on Biomedical Imaging (ISBI 2012)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2011 IEEE 8th International Symposium on Biomedical Imaging (ISBI 2011)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2010 IEEE 7th International Symposium on Biomedical Imaging (ISBI 2010)

    To serve the biological, biomedical, bioengineering, bioimaging, and other technical communities through a quality program of presentations and papers on the foundation, application, development, and use of biomedical imaging.

  • 2009 IEEE 6th International Symposium on Biomedical Imaging (ISBI 2009)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2008 IEEE 5th International Symposium on Biomedical Imaging (ISBI 2008)

    Algorithmic, mathematical and computational aspects of biomedical imaging, from nano- to macroscale. Topics of interest include image formation and reconstruction, computational and statistical image processing and analysis, dynamic imaging, visualization, image quality assessment, and physical, biological and statistical modeling. Molecular, cellular, anatomical and functional imaging modalities and applications.

  • 2007 IEEE 4th International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2007)

  • 2006 IEEE 3rd International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2006)

  • 2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2004)

  • 2002 1st IEEE International Symposium on Biomedical Imaging: Macro to Nano (ISBI 2002)


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2020 IEEE International Magnetic Conference (INTERMAG)

INTERMAG is the premier conference on all aspects of applied magnetism and provides a range of oral and poster presentations, invited talks and symposia, a tutorial session, and exhibits reviewing the latest developments in magnetism.


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Periodicals related to Electroencephalography

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Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Biomedical Circuits and Systems, IEEE Transactions on

The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...


Biomedical Engineering, IEEE Reviews in

The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.


Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Engineering in Medicine and Biology Magazine, IEEE

Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.


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Most published Xplore authors for Electroencephalography

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Xplore Articles related to Electroencephalography

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THE BRAIN–COMPUTER INTERFACE IN THE INTERNET OF THINGS

Internet of Things and Data Analytics Handbook, None

This chapter looks at some of the practical aspects of working with a Brain‐Computer Interface (BCI) device today. The ultimate in BCI would be uploading of the brain into a computer. The Human Connectome Project represents the potential to do that. Similar to how the Human Genome Project sequenced the human genome‐all the genes that make people who they are ...


IEE Colloquium on 'Neurological Signal Processing' (Digest No.069)

IEE Colloquium on Neurological Signal Processing, 1992

None


Brainwave Drawing Game

Delicate Balance: Technics, Culture and Consequences, 1989

None


Correction to "Moving Dipole Inverse ECG and EEG Solutions"

IEEE Transactions on Biomedical Engineering, 1985

None


Errata [to "Predicting Reaching Targets from Human EEG" (Jan 08 69-77)]

IEEE Signal Processing Magazine, 2008

In the above titled article (ibid, vol 25. no. 1, 69-77, Jan 08), changes were made to several equations and formulas.


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Educational Resources on Electroencephalography

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IEEE.tv Videos

IEEE-USA E-Books

  • THE BRAIN–COMPUTER INTERFACE IN THE INTERNET OF THINGS

    This chapter looks at some of the practical aspects of working with a Brain‐Computer Interface (BCI) device today. The ultimate in BCI would be uploading of the brain into a computer. The Human Connectome Project represents the potential to do that. Similar to how the Human Genome Project sequenced the human genome‐all the genes that make people who they are as an individual‐the Human Connectome Project seeks to build a comprehensive map of the neural connections in the brain. The advance of consumer electroencephalography (EEG) devices opens the technology up to a whole new world of BCI options. Combining EEG technologies with other Internet of Things (IoT) technologies like heart rate monitoring, facial emotion recognition, and data mining will enhance the picture describing the brain and its functions. OpenBCI is targeted toward high‐end research use. It most closely replicates clinical EEG hardware of all the other consumer EEG devices.

  • IEE Colloquium on 'Neurological Signal Processing' (Digest No.069)

    None

  • Brainwave Drawing Game

    None

  • Correction to "Moving Dipole Inverse ECG and EEG Solutions"

    None

  • Errata [to "Predicting Reaching Targets from Human EEG" (Jan 08 69-77)]

    In the above titled article (ibid, vol 25. no. 1, 69-77, Jan 08), changes were made to several equations and formulas.

  • Evaluation of feature extraction methods for motor imagery-based bcis in terms of robustness to slight changes of electrode locations

    In this study, various feature extraction methods for motor-imagery-based BCI were evaluated in terms of robustness to slight changes in electrode locations. EEG signals were recorded from three reference electrodes (Fz, C3, and C4) and from six additional electrodes located close to the reference electrodes. The performance of four different feature extraction methods [power spectral density (PSD), phase locking value (PLV), a combination of PSD and PLV, and cross-correlation (CC)] were evaluated in terms of robustness to electrode location changes as well as regarding absolute classification accuracy. The quantitative evaluation results demonstrated that the use of either PSD- or CC-based features led to higher classification accuracy than the use of PLV-based features, whereas PSD-based features showed much higher sensitivity to changes in EEG electrode location than CC- or PLV-based features. There results suggest that CC can be a promising feature extraction method in motor-imagery-based BCI studies as it provides high classification accuracy along with being little affected by slight changes in the EEG electrode locations.

  • The Proposal of the EEG Characteristics Extraction Method in Weighted Principal Frequency Components Using the RGA

    An EEG has frequency components which can describe most of the significant features. These combinations are often unique like individual human beings and yet they have underlying basic features. These frequency components are contained the important and/or not so important components, and then each importance of these frequency components are different. The real-coded genetic algorithm (: RGA) is used for selecting and being weighted the principal characteristic frequency components. We attempt to construct mental change appearance model (: MCAM) of only one measurement point. In order to show the effectiveness of the proposed method, computer simulations are carried out by using real data

  • Feature extraction and classification of Electroencephalogram signals for vigilance level detection

    Brain Computer Interface uses brain power in the form of Electroencephalogram signals to establish an artificial communication pathway between human brain and outside world. These Electroencephalogram signals alter with the different vigilance levels of human brain. Medicines with high alcoholic contents make patient feel drowsy. This can cause change in the pattern of Electroencephalogram signals recovered from patient and wrong interpretation by classifier algorithm, if change in signals is severe. Further a wrong command can be generated by Brain Computer Interface. In present work, a methodology for feature extraction and classification of EEG signals recorded under drowsy and controlled state of mind is proposed for vigilance level detection of human body. Filtered EEG data is transformed to the time frequency domain and further processed to derive initial parameters based on dynamic programming for nonlinear fitting, to prepare feature vector from raw Electroencephalogram signals. Classifier is trained with the input feature vector and tested with the unseen data. For classification of signals Random Forest Tree classifier is employed.

  • Spatial analysis of electroencephalogram signal sources

    Spatial analysis of electroencephalogram (EEG) signal sources is a technology based on the methods solving EEG inverse problem. In this field, the human brain is often considered as a quasi-static electromagnetic system. Combined with boundary element method results, the spatial distribution of EEG sources is analyzed by a hybrid weighted minimum norm solution. The simulation experiments are given to show the promising ability of the proposed approach.

  • Spectral perturbations reflect the depth of cognitive processing for brain-computer interface systems

    Current trends and needs in Human-Computer Interaction (HCI) are rapidly increasing; however the possibility to estimate user's state remains unchanged. The need to predict user's state and intentions, and to adapt accordingly in real time to her/his decisions could bring benefits in this dual interaction. Following this purpose, we evaluate the state of a user by means of cognitive processing. In this way, we study the feasibility of detecting the level of cognitive processing, in order to be used for controlling or modifying the interface of a HCI application, such as, an information seeking application. We study this feasibility by analyzing the event-related spectral perturbations evoked by two levels of cognitive processing.



Standards related to Electroencephalography

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No standards are currently tagged "Electroencephalography"


Jobs related to Electroencephalography

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