Computational Intelligence and Neuroscience

Recent Advances in Brain Signal Analysis: Methods and Applications


Publishing date
16 Sep 2016
Status
Published
Submission deadline
29 Apr 2016

1Universidade de Fortaleza, Fortaleza, Brazil

2Universidade Estadual Paulista Julio de Mesquita Filho, Bauru, Brazil

3Universidade do Porto, Porto, Portugal

4Florida Institute of Technology, Melbourne, USA

5University of Florida, Gainesville, USA


Recent Advances in Brain Signal Analysis: Methods and Applications

Description

Traditional, recent, and new computational tools are introduced in the literature as accurate and fast alternatives capable of aiding specialists in their decision making, reducing/eliminating errors which originated from their subjectivity related to fatigue, tiredness, parallax, or limitations in the visual field during a medical image analysis, among others. This integration between technology and health field is of utmost importance to discovery of new diseases and better diagnoses, improving the quality of life of patients and proposing new methods of alternative treatments, for example.

In the neuroscience field, it is possible to observe a wide integration of computational methods, such as Neurorehabilitation, in which use is made of controlled virtual environments for the treatment of posttraumatic disorders, cerebral palsy, or traumatic brain injury, for example. Its aim is to promote a recovery of brain function lost due to a lesion through noninvasive brain stimulation (brain modulation) in a more accurate and faster manner than the traditional techniques. Neurorobotics is where artificial limbs are developed in order to act as a real member being controlled from a brain-machine interface. With the advancement of a better understanding of how our brain works, new realistic computational algorithms are being considered, making it possible to simulate and model specific brain functions for development of new machine learning techniques.

A great diversity of computational techniques are applied in the neuroscience field, for example, automation and control, image processing and analysis, virtual and augmented reality, computer graphics, biomedical sensors, multicriteria analysis, and data acquisition devices.

The main objective of this special issue is to bring together recent advances on new methods and applications of one-dimensional brain signals analysis. We invite researchers to contribute original work related to this special issue, in which only works related to the processing of one-dimensional signals are considered. Also, exploiting recent methodology using computational and mathematics techniques.

Potential topics include, but are not limited to:

  • Adaptive signal processing
  • Passive brain-machine interface
  • Brain-to-brain interaction
  • Passive brain computer interface
  • Neurorobotics

Articles

  • Special Issue
  • - Volume 2016
  • - Article ID 2742943
  • - Editorial

Recent Advances in Brain Signal Analysis: Methods and Applications

Victor Hugo C. de Albuquerque | Plácido Rogerio Pinheiro | ... | Carlos A. S. Oliveira
  • Special Issue
  • - Volume 2016
  • - Article ID 4204385
  • - Research Article

The Brainarium: An Interactive Immersive Tool for Brain Education, Art, and Neurotherapy

Romain Grandchamp | Arnaud Delorme
  • Special Issue
  • - Volume 2016
  • - Article ID 6391807
  • - Research Article

Discovering Patterns in Brain Signals Using Decision Trees

Narusci S. Bastos | Diana F. Adamatti | Cleo Z. Billa
  • Special Issue
  • - Volume 2016
  • - Article ID 8404565
  • - Research Article

High-Resolution Cortical Dipole Imaging Using Spatial Inverse Filter Based on Filtering Property

Junichi Hori | Shintaro Takasawa
  • Special Issue
  • - Volume 2016
  • - Article ID 6734720
  • - Research Article

A Novel Fixed Low-Rank Constrained EEG Spatial Filter Estimation with Application to Movie-Induced Emotion Recognition

Ken Yano | Takayuki Suyama
  • Special Issue
  • - Volume 2016
  • - Article ID 2714052
  • - Research Article

Macroscopic Neural Oscillation during Skilled Reaching Movements in Humans

Hong Gi Yeom | June Sic Kim | Chun Kee Chung
  • Special Issue
  • - Volume 2016
  • - Article ID 7489108
  • - Research Article

Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study

Niels Trusbak Haumann | Lauri Parkkonen | ... | Elvira Brattico
  • Special Issue
  • - Volume 2016
  • - Article ID 8984379
  • - Research Article

Novel Virtual Environment for Alternative Treatment of Children with Cerebral Palsy

Juliana M. de Oliveira | Rafael Carneiro G. Fernandes | ... | Victor Hugo C. de Albuquerque
  • Special Issue
  • - Volume 2016
  • - Article ID 5718580
  • - Research Article

An Analysis of the Effects of Smartphone Push Notifications on Task Performance with regard to Smartphone Overuse Using ERP

Seul-Kee Kim | So-Yeong Kim | Hang-Bong Kang
  • Special Issue
  • - Volume 2016
  • - Article ID 3861425
  • - Research Article

A Prototype SSVEP Based Real Time BCI Gaming System

Ignas Martišius | Robertas Damaševičius
Computational Intelligence and Neuroscience
 Journal metrics
Acceptance rate28%
Submission to final decision79 days
Acceptance to publication37 days
CiteScore4.700
Impact Factor2.284
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