The Scientific World Journal

Novel Computational Tools in Biosignal Processing


Publishing date
19 Dec 2014
Status
Published
Submission deadline
03 Sep 2014

Lead Editor

1National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China

2Department of Electrical and Electronic Engineering, Imperial College London, London, UK

3Department of Informatics, King's College London, London WC2R 2LS, UK

4School of Information Engineering, Nanchang University, Nanchang, China

5Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, UK


Novel Computational Tools in Biosignal Processing

Description

Computational science is thought of as the third leg of science along with experiments and theoretical science, particularly in biological science. In recent years, computational science has been widely applied in biological science, becoming a requisite tool to explore advance knowledge in discovering biological fundamental problems and understanding the mechanisms of disease. Due to the complexity in biological systems, a truly multidisciplinary approach is required which includes novel experiments, biological techniques, and computational tools. Computational tools from theory and experimentations by making use of mathematics and computers will be able to provide the utilizable approaches to enhance our understanding of complex biological systems.

The aim of the special issue is the presentation of novel computational techniques and tools based on the use of artificial intelligence, machine learning, and signal processing techniques to analyze biosignals, such as electroencephalogram (EEG), electrocardiogram (ECG), electromyogram (EMG), and magnetoencephalogram (MEG), as well as images acquired by computed tomography (CT), magnetic resonance imaging (MRI), and other medical imaging devices.

The main focus of the special issue will be new and existing tools and techniques in biosignal processing for real-world applications. Potential topics include, but are not limited to:

  • Computational intelligence in bio- and clinical medicine
  • Computational methods for biomarker discovery
  • Time series analysis and identification of biosignals
  • Biosignal modelling, control, prediction, and synchronization
  • Chaotic biosignals characteristics
  • Image analysis in biomedicine
  • Pattern recognition of biological data
  • Wavelet transform applications
  • Optical spectroscopic signals (spectra processing)
  • 3D reconstruction of biomedical images

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/tswj/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/tswj/signal.processing/nctb/ according to the following timetable:


Articles

  • Special Issue
  • - Volume 2015
  • - Article ID 984702
  • - Editorial

Novel Computational Tools in Biosignal Processing

Gaoxiang Ouyang | Tania Stathaki | ... | Zhaojie Ju
  • Special Issue
  • - Volume 2015
  • - Article ID 656807
  • - Research Article

Sparse Matrix for ECG Identification with Two-Lead Features

Kuo-Kun Tseng | Jiao Luo | ... | Dong Haiting
  • Special Issue
  • - Volume 2014
  • - Article ID 374679
  • - Research Article

Dual Adaptive Filtering by Optimal Projection Applied to Filter Muscle Artifacts on EEG and Comparative Study

Samuel Boudet | Laurent Peyrodie | ... | Philippe Gallois
  • Special Issue
  • - Volume 2014
  • - Article ID 450249
  • - Research Article

Study of Driving Fatigue Alleviation by Transcutaneous Acupoints Electrical Stimulations

Fuwang Wang | Hong Wang
  • Special Issue
  • - Volume 2014
  • - Article ID 523216
  • - Research Article

Cortical Source Multivariate EEG Synchronization Analysis on Amnestic Mild Cognitive Impairment in Type 2 Diabetes

Dong Cui | Jing Liu | ... | Xiaoli Li
  • Special Issue
  • - Volume 2014
  • - Article ID 208765
  • - Research Article

An Effective Measured Data Preprocessing Method in Electrical Impedance Tomography

Chenglong Yu | Shihong Yue | ... | Huaxiang Wang
  • Special Issue
  • - Volume 2014
  • - Article ID 420561
  • - Research Article

Enhanced Performance by Time-Frequency-Phase Feature for EEG-Based BCI Systems

Baolei Xu | Yunfa Fu | ... | Changhao Jiang
  • Special Issue
  • - Volume 2014
  • - Article ID 203148
  • - Research Article

Multiple-Site Hemodynamic Analysis of Doppler Ultrasound with an Adaptive Color Relation Classifier for Arteriovenous Access Occlusion Evaluation

Jian-Xing Wu | Yi-Chun Du | ... | Tainsong Chen
  • Special Issue
  • - Volume 2014
  • - Article ID 295070
  • - Research Article

Detection of Burst Suppression Patterns in EEG Using Recurrence Rate

Zhenhu Liang | Yinghua Wang | ... | Xiaoli Li
The Scientific World Journal
 Journal metrics
Acceptance rate24%
Submission to final decision68 days
Acceptance to publication29 days
CiteScore2.900
Impact Factor-
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