Novel Computational Tools in Biosignal Processing
Call for Papers

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:

Manuscript Due Friday, 9 May 2014
Final Decision Date Friday, 6 June 2014
Publication Date Friday, 18 July 2014
Lead Guest Editor

Gaoxiang Ouyang, National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, Beijing, China
Guest Editors

Tania Stathaki, Department of Electrical and Electronic Engineering, Imperial College London, London, UK
Hak-Keung Lam, Department of Informatics, King's College London, London WC2R 2LS, UK
Jing Li, School of Information Engineering, Nanchang University, Nanchang, China
Zhaojie Ju, Intelligent Systems and Biomedical Robotics Group, University of Portsmouth, Portsmouth, UK