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In this paper, we investigate a new method to analyze electrocardiogram (ECG) signal, extract the features, for the real time human identification using single lead human electrocardiogram. The proposed system extracts special parts of the ECG signal starting from the P wave, the QRS complex and ending with the T wave for that we used the multiresolution wavelet analysis. Different features are selected...
The cross-correlation coefficient (CC) was used to estimate the effects of muscular voluntary contraction (MVC) and fibres inclination. The study was based on simulated surface electromyographic (sEMG) signals generated in a cylindrical multi-layer volume conductor (bone, muscle, fat and skin) and detected by longitudinal single differential (LSD), inverse binomial of order two (IB2) and maximum kurtosis...
The continuity of service in power systems has a vital economical and social impact on all shareholders; generation, transmission and distribution, and end users. Fault classification within transmission and distribution networks plays an important role in power restoration for guaranteed service continuity. With advances in digital signal processing in terms of speed and algorithms, the use of wavelets...
A protein is a long one-dimensional amino acid sequence. Some subsequences of this sequence are given names and β-strand in one such subsequence. β-strands are very common and two or more such strands within one protein can form a β-sheet in the secondary structure of proteins. In its natural form, a protein is a three-dimensional entity composed of β-sheets, α-helices, and other types of substructures...
This paper investigates the application of spectral graph decomposition method in improving the discriminative quality of spectral components of the common spatial pattern for seizure classification. The aim is to improve the variance between the normal and abnormal EEG patterns in feature extraction process. The affinity matrix of the graph spectral decomposition that derive the Laplacian matrix...
The purpose of this study was to explore the relationship between grip strength and inter-muscular coordination of the forearms and hands. Twenty-four healthy young volunteers participated in the experiment. The subjects were instructed to grip hydraulic hand dynamometer with five force levels-maximal voluntary contraction (MVC), 70% MVC, 50% MVC, 30% MVC and without any contraction. Muscle activity...
Some rheumatoid arthritis patients are not clinical response to Rituximab treatment, so the identification of candidate genes for Rituximab response is very important which might contribute to improve the response chance. This paper identifies the candidate genes in a module view, which is more robust and biologically meaningful compared to the conventional gene differentially expressed analysis....
According to the interference of the ocular artifacts in the measurement process of EEG, a method combined independent component analysis (ICA) and empirical mode decomposition (EMD) is proposed. Firstly, ICA is applied to the mixed signal including EEG and EOG so as to obtain the independent components. Secondly, EMD threshold denoising is used to remove the ocular artifacts which have larger amplitude...
We developed the algorithm to estimate sleep-wake during sleep period using a 3-axis acceleration wrist sensor for the purpose of self-management of sleep status in everyday life. The 3-axis acceleration data were transformed into combined acceleration time series, from which sleep-wake was estimated. The algorithm discriminated sleep from waking time with 91.8[87.4–95.3]% sensitivity and 55.5[40...
This paper proposes high resolution digital beamforming technique using software defined radio (SDR). Digital phase shifter was designed with digital mixer and digital source and digital phase calibration technique was designed using digital processing block with correlation coefficient.
The interactions between genes can be described in the form of an intrinsic and interwoven network called Gene Regulatory Network. Discovering this interaction and accurate modeling of Gene Regulatory Network is one of the key issues in understanding the fundamental cell processes which may be used in various medical, complex genetic diseases and drug discovery applications. In this paper, a method...
The utility to decode hand movement parameters is significant to the control of artificial limb in the BCI fields. Most previous studies have adopted amplitude features of the low-frequency EEG signals to decode hand movement parameters. In this study, we have investigated the instantaneous phase of the low-frequency EEG signals attained by Hilbert transform for such a task for the first time, and...
The intuitionistic fuzzy set which is characterized by a membership degree and a non-membership degree, is a very powerful and useful tool to cope with fuzziness and uncertainty. Recently, the Pythagorean fuzzy set which is an extension of the intuitionistic fuzzy set has been introduced. In this paper, we focus on multi-attribute decision making with Pythagorean fuzzy information. First of all, considering...
For text clustering task, distinctive text features selection is important due to feature space high dimensionality. It is essential to reduce the feature space dimension to increase accuracy and decrease processing time. In this work, for text clustering task, we introduce a novel hybrid feature selection model. This method measures the term importance based on the correlation coefficient among four...
This paper makes the subjects' sight locked in a certain area using an eye tracker, getting Steady-state visual evoked potential (SSVEP) from flickering stimuli with a fixed frequency but at random positions, in order to observe the impact of stimulus at different positions and their distances on the electroencephalogram (EEG). The result suggests that if human have to select the positions of stimuli...
This article describes a method for recognizing Ukrainian car's license plates of the most common format, which has a high percentage of correct recognition and applied in practice.
A multilevel evaluation model integrating Triangular Fuzzy Numbers (TFNs), Analytical Hierarchical Process (AHP) and Grey Relational Analysis (GRA) was Proposed to evaluate Brownfield Redevelopment Projects (BRPs). Three schemes were proposed including 1: Housing Society, 2: Industrial Park 3: Commercial Development. Initially, primary indicators were identified through extensive literature review...
The problems of constructing Gaussian signals models with a given three-dimensional probability density on the basis of the biconnected Markov chain are considered. The article presents a Markov model shaping technique; to describe it, the use of three-dimensional diagrams for joint and transition probabilities matrices as well as their contour lines is proposed. The properties of the biconnected...
The JOCOR algorithm, which was first introduced by Mueen et at., is the currently exact method for joining two time series to find the most correlated subsequence. Despite the fact that time complexity for JOCOR belongs to O(n2lgn), where n is the length of the time series, it becomes inefficieit and unfeasible even for medium-size time series. This is because the JOCOR method is based on a brute-force...
Dense false target jamming is suppressive and deceptive. Traditional anti-jamming measures, such as side-lobe canceller, are invalid. In this paper, a method based on jamming sample selection is presented to counter dense false target jamming. The method first judges the correlation between the signal in the main channel and that in the auxiliary channel, then selects jamming samples through correlation...
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