An Optimal Wavelet Based Algorithm for Removal of Power Line Interferences in ECG Signals

Girisha Garg, Shorya Gupta, Vijander Singh, J.R.P. Gupta, A.P.Mittal


Abstract: An optimal denoising algorithm for ECG signals using Discrete Wavelet Transform is described. Statistical analysis is done to determine the best parameters by comparing different types of wavelet functions, decomposition level and threshold selection methods. The algorithm is used to improve the SNR of the ECG contaminated by d ....etc

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Summary
This paper presents a new empirical method for de-noising ofocular artifacts in the electroencephalogram (EEG) records. Inmany biomedical signal processing approach, source signals arenoisy and some have kurtosis close to zero. These noise sourcesincrease the difficulty in analyzing the EEG and obtaining theclinical information. To remove this artifacts a method basedon Donoho’s de-noising method is used. Recently StationaryWavelet Transform (SWT) has been used to de-noise thecorrupted EEG signals. In this paper, statistical ....etc

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EEG signal generation matlab code ....etc

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Abstract Test card for color TV is a widely used method to evaluate the quality of a TV set directly. We have made a test signal generator (which can also generate synchronizing (abbreviated to sync hereafter) signals) mainly based on microprocessor Z-80. Taking the advantage of microprocessor programming, combining with the technique of microprocessor, digital circuits and analogue devices, we use software as far as possible to generate signals directly or to simplify the controlling circuits. Those signals, such as composite sync signal, bla ....etc

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each block explaination of eeg instrument. ....etc

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WELDING ROBOT USING A COMPUTATIONAL
MONO-OCULAR VISION SYSTEM



ABSTRACT
In automatic production lines using welding processes, robots are used to move the welding torch. But for the robot to weld it is normally that it has been previously programmed to follow a predetermined trajectory. If the location of the pieces to be welded changes for any reason, all the programming will have to be redone. One way to eliminate the robot programming is to use a visi ....etc

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• CLASSIFICATION OF ECG SIGNAL USING
WAVELET ANALYSIS

PRESENTED BY
RANJIT KUMAR
ROBINS
SANDEEP KUMAR PANDEY
SANJAY KUMAR


INTRODUCTION
What is signal ?
A signal is defined as a physical quantity that varies with time space or any other independent variable or variables.
Classification of signals:-
It is of two types:-
(1) Stationary signal
(2) Non-stationary signal
(1) Stationary signal :-
It is a signal whose frequency ....etc

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Abstract
The paper deals with the use of wavelet transform for signal and image de-noising
employing a selected method of thresholding of appropriate decomposition coef-
¯cients. The proposed technique is based upon the analysis of wavelet transform
and it includes description of global modi¯cation of its values. The whole method
is veri¯ed for simulated signals and applied to processing of biomedical signals
representing EEG signals and MR images corrupted by additional random noise.
1 Introduction
The wavelet transfo ....etc

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Noninvasive Brain-Actuated Control of a Mobile Robot by Human EEG
please send me if u have any ppt onthis....
my email id id [email protected] ....etc

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provide me the code.................................................................................................................................................................... ....etc

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