Title: Real-time estimation and detection of non-linearity in bio-signals using wireless brain-computer interface
Authors: S. Ganesan; T. Aruldoss Albert Victoire; G. Vijayalakshmy
Addresses: Department of Information and Communication, Anna University of Technology, Coimbatore 641 047, India ' Department of Electrical and Electronics Engineering, Anna University of Technology, Coimbatore 641 047, India ' Department of Electronics and Communication Engineering, Perunthalaivar Kamarajar Institute of Engineering and Technology, Karaikkal 609 603, India
Abstract: In this paper, the work is mainly concentrated on removing non-linear parameters to make the physiological signals more linear and reducing the complexity of the signals. This paper discusses three different types of techniques that can be successfully utilised to remove non-linear parameters in EEG and ECG. (i) Transformation technique using Discrete Walsh-Hadamard Transform (DWHT); (ii) application of fuzzy logic control and (iii) building the Adaptive Neuro-Fuzzy Inference System (ANFIS) model for fuzzy. This work has been inspired by the need to arrive at an efficient, simple, accurate and quicker method for analysis of bio-signal.
Keywords: electroencephalograms; EEG; electrocardiograms; ECG; wireless BCI; discrete Walsh Hadamard transform; DWHT; fuzzy logic; ANFIS; brain-computer interface; nonlinearity; biosignals; nonlinear parameters; fuzzy control; adaptive neuro-fuzzy inference system; neural networks.
International Journal of Bioinformatics Research and Applications, 2014 Vol.10 No.2, pp.190 - 205
Available online: 25 Feb 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article