normal 0 false false false en-us x-none fa background: electroencephalography (eeg) has vital and significant applications in different medical fields and is used for the primary evaluation of neurological disorders. hence, having easy access to suitable and useful signal is very important. artifacts are undesirable confusions which are generally originated from inevitable human activities such...

cloning and sequencing of a lipase gene from an indigenous bacillus pumilus, strain f3, revealed an open-reading frame of 648 nucleotides predicted to encode a protein of 215 residues. sequence analysis showed that f3 lipase contained a signal peptide composed of 34 amino acids with an h domain of 18 residues. a tat-like motif was found in the signal peptide similar to some other bacillus pumil...

electro encephalography is one of the reliable sources to detect sleep onset while driving. in this study we have tried to demonstrate that sleepiness and alertness signals are separable with an appropriate margin by extracting suitable features. so first of all we have recorded eeg signals from 10 volunteers. they were obliged to be sleep deprived about 20 hours before the test. we recorded th...

In this paper, unique approach is presented for the electroencephalography (EEG) signals analysis. This is based on Eigen values distribution of a matrix which is called as scaled Hankel matrix. This gives us a way to find out the number of Eigen values essential for noise reduction and extraction of signal in singular spectrum analysis. This paper gives us an approach to classify the EEG signa...

abstract: gridlock is an extreme traffic state where vehicle cannot move at all. this research studies the development of gridlock by theoretical and numerical analysis. it is shown that the development of gridlock can be divided into several stages. the core of the development is the evolution of congestion loop. a congestion loop is comprised of a number of consecutively connected spillover l...

A recorded nerve signal via an electrode is composed of many evokes or action potentials, (originated from individual axons) which may be considered as different initial sources. Recovering these primitive sources in its turn may lead us to the anatomic originations of a nerve signal which will give us outstanding foresights in neural rehabilitations. Accordingly, clinical interests may be r...

The aim of this study is to show that the measures derived from Electrocardiogram (ECG) signals many a time perform better than the same measures obtained from heart rate (HR) signals. A comparison was made to investigate how far the nonlinear symbolic dynamics approach helps to characterize the nonlinear properties of ECG signals and HR signals, and thereby discriminate between normal and cong...

Background: Electromyography (EMG) signal processing and Muscle Onset Latency (MOL) are widely used in rehabilitation sciences and nerve conduction studies. The majority of existing software packages provided for estimating MOL via analyzing EMG signal are computerized, desktop based and not portable; therefore, experiments and signal analyzes using them should be completed locally. Moreover, a...

background: various techniques are used in diagnosing cardiac diseases. the electrocardiogram is one of these tools in common use. in this study vectorcardiogram ) vcg ( signals are used as a tool for detection of cardiac ischemia. methods: vcg signals used in this study were obtained form 60 patients suspected to have ischemia disease and 10 normal candidates. verification of the ischemia had ...