Steady-state visual evoked potential (SSVEP) is widely used in electroencephalogram (EEG) control, medical detection, cognitive neuroscience, and other fields. However, successful application requires improving the detection performance of SSVEP signal frequency characteristics. Most strategies to enhance signal-to-noise ratio utilize a spatial filter. Here, we propose method for image filterin...

one of the most common signals used for achieving high range resolution in radar is stepped-frequency signals. when a target is stationary in these radars, dft (discrete fourier transform) based processing is used to attain high range resolution profile (hrrp). however, in the case of moving target, due to spreading of the echo signal spectrum, dft based processing is not optimal and decreases ...

The net analyte signal standard addition method was used for simultaneous spectrophotometric determination of sertraline and fluoxetine in pharmaceutical preparations. The method combines the advantages of the standard addition method with the net analyte signal concept to enable the extraction of information about an analyte from the spectra of multi-component mixtures. This method uses full s...

Background: Pharmaceutical companies, regulatory agencies, or other government agencies conduct safety signal detection as one of the ways for mitigating the possible risks due to medical products. The safety signal is defined as information that arises from one or multiple sources (including observations or experiments), suggesting a new, potentially causal association, or a new aspect of a kn...

in recent years, based on the growing importance of clean energy in comparison with conventional energy production from fossil fuels, dg systems are gradually becoming more popular all over the world. these resources solve many problem of system. however, these resources create some other problems too. one of the most problem of dgs is unwanted islanding. this paper addresses reliable passive i...

The edge information of a medical image is the basis of the analysis and processing of that medical image. The medical image contains the muscle, blood vessels and other interference information, which is large but leads the edge detection to become very difficult. So the research into an image edge detection algorithm has become one of the key technologies in image processing, and has importan...

BACKGROUND Pharmacovigilance signal detection largely relies on individual case reports, but longitudinal health data are being explored as complementary information sources. Research to date has focused on the ability of epidemiological methods to distinguish established adverse drug reactions (ADRs) from unrelated adverse events. OBJECTIVE The aim of this study was to evaluate a process for...

edge detection and edge enhancement techniques play an essential role in interpreting potential field data. this paper describes the application of various edge detection techniques to gravity data in order to delineate the edges of subsurface structures. the edge detection methods comprise analytic signal, total horizontal derivative (thdr), theta angle, tilt angle, hyperbolic of tilt angle (h...

Abstract— Electrocardiography (ECG) signals are important in medical engineering to determine the condition of the heart. The proper processing of ECG signal and its accurate detection is very much essential for easy diagnosis. Generally ECG gets corrupted by noise and human artifacts. The denoising of this signal is very important issue in medical field. In this proposed work concentrated on d...