A right-hand motor imagery based brain-computer interface is proposed in this work. Such a system requires the identification of different brain states and their classification. Brain signals recorded by electroencephalography are naturally contaminated by various noises and interferences. Ocular artifact removal is performed by implementing an automatic method “Kmeans-ICA” which does not requi...

In this paper the discussion is on research work dealing with medical image fusion combination utilizing the wavelet changes occurring for images in frequency domain is discussed. We have manufactured a model framework that permits experimentation with a different wavelet which exhibit reduced blend ratio and control techniques for fusion combination, utilizing an arrangement of essential opera...

Independent component analysis (ICA) is an unsupervised technique for blind source separation, and the ICA algorithms using nongaussianity as the measure of mutual independence have been also used for projection pursuit or visualization of multivariate data for knowledge discovery in databases (KDD). However, in real applications, it is often the case that we fail to extract useful latent varia...

Imperialist Competitive Algorithm (ICA) is a recent meta-heuristic method that is inspired by the social evolutions for solving NP-Hard problems. The ICA is a population-based algorithm which has achieved a great performance in comparison to other metaheuristics. This study is about developing enhanced ICA approach to solve the Cell Formation Problem (CFP) using sequence data. In addition to th...

A 62-year-old man was admitted after recurrent transient left-sided weakness and sensory loss. Ultrasound (US) examination revealed a 70% narrowing of the right proximal internal carotid artery (ICA). Contrast-enhanced US suggested plaque neovascularization (figure, A). Carotid endarterectomy of the right ICA was performed. Immunohistochemistry of the specimen showed, corresponding to the US fi...

In this paper, we propose a new wideband speech coder which combines the European standard of a narrowband speech coder, i.e., GSM-EFR, and a transform coder using the discrete wavelet transform. Input speech is first split into two bands with equal bandwidth. A subband coder with wavelet transformed speech is designed for a upper band coder, and a GSM-EFR coder is adopted as a lower band coder...

An iterative dual-regression (DR) with a sparse prior was proposed to estimate individual neuronal activations from an ICA application to a group functional magnetic resonance imaging (fMRI) data. Compared to an original DR with two steps of least-squares to estimate both spatial and temporal patterns, our approach showed enhanced true positive rates while reducing false positive rates across a...

In this paper, we propose a dynamic signature verification system which integrates hybrid of Discrete Wavelet Transform and Discrete Fourier Transform (DWT-DFT) for feature extraction. In feature matching, Euclidean distance and Enveloped Euclidean distance (EED) (a variant of Euclidean distance) are used. Distances of features are fused into a final score value and used to classify whether a g...

The brain – computer interface (BCI) provides a communicational channel between human and machine. Most of these systems are based on brain activities. Brain Computer-Interfacing is a methodology that provides a way for communication with the outside environment using the brain thoughts. The success of this methodology depends on the selection of methods to process the brain signals in each pha...

Icariin (ICA), the main active flavonoid glucoside isolated from Herbaepimedii (HEF), is an anabolic agent in bone that has been reported to prevent bone loss in ovariectomized rats and postmenopausal women. However, the understanding of its mechanism of this anabolic action of ICA in osteogenesis remains incomplete. Here, we found that Icariin could promote MC3T3-E1 osteoblastic cell prolifera...