Computational Intelligence and Neuroscience

Recent Advances in Brain Signal Analysis: Methods and Applications 2018


Status
Published

1Universidade de Fortaleza, Fortaleza, Brazil

2Vivekananda College of Engineering & Technology, Karnataka, India

3Universidade do porto, Porto, Portugal


Recent Advances in Brain Signal Analysis: Methods and Applications 2018

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 the following:

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

Articles

  • Special Issue
  • - Volume 2018
  • - Article ID 5971086
  • - Editorial

Recent Advances in Brain Signal Analysis: Methods and Applications 2018

Victor Hugo C. de Albuquerque | Plácido Rogerio Pinheiro | ... | João Manuel R. S. Tavares
  • Special Issue
  • - Volume 2018
  • - Article ID 9593682
  • - Research Article

Sparse Representation-Based Extreme Learning Machine for Motor Imagery EEG Classification

Qingshan She | Kang Chen | ... | Yingchun Zhang
  • Special Issue
  • - Volume 2018
  • - Article ID 7403471
  • - Research Article

Pilot Study on Gait Classification Using fNIRS Signals

Hedian Jin | Chunguang Li | Jiacheng Xu
  • Special Issue
  • - Volume 2018
  • - Article ID 9616301
  • - Research Article

Neurophysiological Responses to Different Product Experiences

Enrica Modica | Giulia Cartocci | ... | Fabio Babiloni
  • Special Issue
  • - Volume 2018
  • - Article ID 9721561
  • - Research Article

Neurophysiological Profile of Antismoking Campaigns

Enrica Modica | Dario Rossi | ... | Fabio Babiloni
  • Special Issue
  • - Volume 2018
  • - Article ID 7957408
  • - Research Article

Decoding Motor Imagery through Common Spatial Pattern Filters at the EEG Source Space

Ioannis Xygonakis | Alkinoos Athanasiou | ... | Panagiotis D. Bamidis
  • Special Issue
  • - Volume 2018
  • - Article ID 2301804
  • - Research Article

Wireless Stimulus-on-Device Design for Novel P300 Hybrid Brain-Computer Interface Applications

Chung-Hsien Kuo | Hung-Hsuan Chen | ... | Yu-Cheng Kuo
  • Special Issue
  • - Volume 2018
  • - Article ID 6265108
  • - Research Article

Multiclass Motor Imagery Recognition of Single Joint in Upper Limb Based on NSGA- II OVO TWSVM

Shan Guan | Kai Zhao | Fuwang Wang
  • Special Issue
  • - Volume 2018
  • - Article ID 3050214
  • - Research Article

Using Black Hole Algorithm to Improve EEG-Based Emotion Recognition

Roberto Munoz | Rodrigo Olivares | ... | María Francisca Alonso-Sánchez
  • Special Issue
  • - Volume 2018
  • - Article ID 6058065
  • - Research Article

Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network

Jaehong Yoon | Jungnyun Lee | Mincheol Whang
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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