Scalp

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The scalp is the anatomical area bordered by the face anteriorly and the neck to the sides and posteriorly. (Wikipedia.org)






Conferences related to Scalp

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2017 22nd International Conference on Digital Signal Processing (DSP)

This is to bring together research scholars in signal processing, working in various applications, together and mark the 50th anniversary of this event in London, UK, where this event started 50 years ago.


2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

The 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’17) in conjunction with International Biomedical Engineering Conference of KOSOMBE will be held at International Convention Center (ICC), Jeju Island, Korea from July 11 to 15, 2017. The overall theme of the conference is “Smarter Technology for Healthier World” and will cover diverse topics of cutting-edge research in biomedical engineering, healthcare technology R&D, translational clinical research, technology transfer and entrepreneurship, and biomedical engineering education. The conference program will feature high-profile keynote lectures, minisymposia, workshops, invited sessions, oral and poster sessions, sessions for students and young professions, sessions for clinicians and entrepreneurs, and exhibitions.


2017 8th International IEEE/EMBS Conference on Neural Engineering (NER)

Neural Engineering is an emerging core discipline,which coalesces neuroscience with engineering.Members of both the Neuroscience and Engineering Communities areencouraged to attend this highly multidisciplinarymeeting. The conference will highlight the emergingengineering innovations in the restoration andenhancement of impaired sensory, motor, andcognitive functions, novel engineering for deepeningknowledge of brain function, and advanced designand use of neurotechnologies

  • 2015 7th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problemsassociated with neural dysfunction including the representation of sensory and motor information, theelectrical stimulation of the neuromuscular system to control the muscle activation and movement, theanalysis and visualization of complex neural systems at multi -scale from the single -cell and to the systemlevels to understand the underlying mechanisms, the development of novel neural prostheses, implantsand wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER)

    Neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction including the representation of sensory and motor information, the electrical stimulation of the neuromuscular system to control the muscle activation and movement, the analysis and visualization of complex neural systems at multi-scale from the single-cell and to the system levels to understand the underlying mechanisms, the development of novel neural prostheses, implants and wearable devices to restore and enhance the impaired sensory and motor systems and functions.

  • 2011 5th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2009 4th International IEEE/EMBS Conference on Neural Engineering (NER)

    highlight the emerging field, Neural Engineering that unites engineering, physics, chemistry, mathematics, computer science with molecular, cellular, cognitive and behavioral neuroscience and encompasses such areas as replacing or restoring lost sensory and motor abilities, defining the organizing principles and underlying mechanisms of neural systems, neurorobotics, neuroelectronics, brain imaging and mapping, cognitive science and neuroscience.

  • 2007 3rd International IEEE/EMBS Conference on Neural Engineering

  • 2005 2nd International IEEE/EMBS Conference on Neural Engineering

  • 2003 1st International IEEE/EMBS Conference on Neural Engineering


2017 Fourth International Conference on Signal Processing,Communication and Networking (ICSCN)

ICSCN 2017 aims to provide a timely forum for exchange and discussion of the latest research findings in various aspects of the domains of Signal processing, Networking and Communication. This conference brings together software/hardware engineering researchers, computer scientists, practitioners and people from industry to exchange theories, ideas, techniques and experiences related to all aspects of Electronics and Communication.The topics of the conference are carefully chosen to include the recent developments in Signal processing, VLSI, Networking and Communication. This conference proceeding would serve as a good reference material for research enthusiasts. The conference includes plenary talks, keynote addresses, and paper presentations. The Conference promotes the exchange of ideas and application experiences between educators and researchers all over the world.

  • 2015 3rd International Conference on Signal Processing, Communication and Networking (ICSCN)

    The recent developments in the area of information and communication engineering in the pastfew years has led to unprecedented increase in the number of people using these technologies and also theinterest in research and development. This conference aims to bring together innovative academics,researchers and industrial experts in the field of Communication, Signal Processing, VLSI Design, Computingand Networking fields to a common forum, for a constructive dialog on theoretical concepts and practicalideas. The objective of this conference is to provide a forum for the researchers to present their state-of-theartwork. Practicing engineers, scientists from R&D institutions, Faculty members of engineering colleges,research scholars and post graduate students are expected to participate in this conference

  • 2008 International Conference on Signal Processing, Communication and Networking (ICSCN)

    Rapid development in the area of electronics and communications in the past few years has led to unprecedented increase in the number of people using these technologies and also the interest in research and development. This conference aims to bring together innovative academics, researchers and industrial experts in the field of electronics, communications and allied fields to a common forum, for a constructive dialog on theoretical concepts and practical ideas. The objective of this conference is to provi

  • 2007 International Conference on Signal Processing, Communication and Networking (ICSCN)

    Annexure-I


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.


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Periodicals related to Scalp

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Antennas and Propagation, IEEE Transactions on

Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.


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.


Control Systems Technology, IEEE Transactions on

Serves as a compendium for papers on the technological advances in control engineering and as an archival publication which will bridge the gap between theory and practice. Papers will highlight the latest knowledge, exploratory developments, and practical applications in all aspects of the technology needed to implement control systems from analysis and design through simulation and hardware.


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 Scalp

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Xplore Articles related to Scalp

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Machine learning to predict person's interest towards visual object by utilizing EEG signal

Linda Sekawati; Nur Ulfa Maulidevi; Suprijanto 2016 International Conference on Data and Software Engineering (ICoDSE), 2016

This experiment aims to determine the best algorithm to predict person's interest towards visual object. EEG signal (signal captured by Electroencephalograph) is utilized to show if a person is interested. This can be useful, such as for marketers to discover consumer's brain response towards product and identify whether the product is interesting. Learning algorithm classifies subject's brain response into one ...


Magnetic source images determined by a lead-field analysis: the unique minimum-norm least-squares estimation

J. -Z. Wang; S. J. Williamson; L. Kaufman IEEE Transactions on Biomedical Engineering, 1992

The minimum norm least-squares approach based on lead field theory provides a unique inverse solution for a magnetic source image that is the best estimate in the least-squares sense. This has been applied to determine the source current distribution when the primary current is confined to a surface or set of surfaces. In model simulations of cortical activity of the ...


The scalp Laplacian as an estimate of local cortical source .activity

A. F. Westdorp; P. L. Nunez Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ, 1993

First Page of the Article ![](/xploreAssets/images/absImages/00978575.png)


3-D diffusion tensor MRI anisotropy content-adaptive finite element head model generation for bioelectromagnetic imaging

W. H. Lee; T. -S. Kim; Andrew T. Kim; S. Y. Lee 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008

Realistic finite element (FE) head models have been successfully applied to bioelectromagnetic problems due to a realistic representation of arbitrary head geometry with inclusion of anisotropic material properties. In this paper, we propose a new automatic FE mesh generation scheme to generate a diffusion tensor MRI (DT-MRI) white matter anisotropy content-adaptive FE head model. We term this kind of mesh ...


Time dependent entropy analysis of multiunit activity in the cortex following the hypoxic-ischemic brain injury

Shanbao Tong; Ming Chieh Ding; N. V. Thakor First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings., 2003

Previous study has shown that the scalp electrical activity (e.g. EEG) could provide information on hypoxic-ischemic (HI) brain injury. The time dependent entropy (TDE) of EEG was applied as a means to segment the injury and recovery phases. A reduction in entropy during the injury was explained as the result of the spiking or bursting activity during the recovery of ...


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Educational Resources on Scalp

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eLearning

Machine learning to predict person's interest towards visual object by utilizing EEG signal

Linda Sekawati; Nur Ulfa Maulidevi; Suprijanto 2016 International Conference on Data and Software Engineering (ICoDSE), 2016

This experiment aims to determine the best algorithm to predict person's interest towards visual object. EEG signal (signal captured by Electroencephalograph) is utilized to show if a person is interested. This can be useful, such as for marketers to discover consumer's brain response towards product and identify whether the product is interesting. Learning algorithm classifies subject's brain response into one ...


Magnetic source images determined by a lead-field analysis: the unique minimum-norm least-squares estimation

J. -Z. Wang; S. J. Williamson; L. Kaufman IEEE Transactions on Biomedical Engineering, 1992

The minimum norm least-squares approach based on lead field theory provides a unique inverse solution for a magnetic source image that is the best estimate in the least-squares sense. This has been applied to determine the source current distribution when the primary current is confined to a surface or set of surfaces. In model simulations of cortical activity of the ...


The scalp Laplacian as an estimate of local cortical source .activity

A. F. Westdorp; P. L. Nunez Proceedings of the 15th Annual International Conference of the IEEE Engineering in Medicine and Biology Societ, 1993

First Page of the Article ![](/xploreAssets/images/absImages/00978575.png)


3-D diffusion tensor MRI anisotropy content-adaptive finite element head model generation for bioelectromagnetic imaging

W. H. Lee; T. -S. Kim; Andrew T. Kim; S. Y. Lee 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2008

Realistic finite element (FE) head models have been successfully applied to bioelectromagnetic problems due to a realistic representation of arbitrary head geometry with inclusion of anisotropic material properties. In this paper, we propose a new automatic FE mesh generation scheme to generate a diffusion tensor MRI (DT-MRI) white matter anisotropy content-adaptive FE head model. We term this kind of mesh ...


Time dependent entropy analysis of multiunit activity in the cortex following the hypoxic-ischemic brain injury

Shanbao Tong; Ming Chieh Ding; N. V. Thakor First International IEEE EMBS Conference on Neural Engineering, 2003. Conference Proceedings., 2003

Previous study has shown that the scalp electrical activity (e.g. EEG) could provide information on hypoxic-ischemic (HI) brain injury. The time dependent entropy (TDE) of EEG was applied as a means to segment the injury and recovery phases. A reduction in entropy during the injury was explained as the result of the spiking or bursting activity during the recovery of ...


More eLearning Resources

IEEE-USA E-Books

  • Brain-Computer Interfaces

    This chapter introduces the field of brain¿¿-¿¿computer interfaces (BCIs), also called brain-machine interfaces (BMIs), which has seen impressive achievements over the past few years. It first reviews the different kinds of brain signals that can be recorded as input for a BCI. Then, the chapter discusses a series of principles to build efficient BCIs that are independent of the particular signal of choice. There follows a short overview of BCI attempts to improve the outcome of neurorehabilitation, especially for motor control in stroke patients. The chapter concludes by pinpointing some future research directions in the field of BCI.

  • Movement-Related Cortical Potentials and Their Application in Brain-Computer Interfacing

    Brain¿¿-¿¿computer interface (BCI) systems aim at providing a nonmuscular communication and control channel to patients with severe disabilities or at promoting neuroplasticity. Motor imagery is the most common approach to producing electroencephalogram (EEG) changes in EEG-based BCI research. This chapter discusses an alternative approach for distinguishing movement-related parameters, such as speed, for the same imagined task. This approach provides a more intuitive way of control for the user and increases the potential number of commands. The chapter explains a series of studies that analyze the characteristics of movement-related cortical potentials (MRCPs), and explores their potential application to BCI. It describes the characteristics of MRCPs and how these characteristics are modulated by movement parameters, such as speed and torque. It also discusses these results from the viewpoint of applying MRCPs generated during imagined movements of the same joint as control signals for BCIs.



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