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Title: free download matlab code for qrs detection based on multiscale mathematical morphology for wearable ecg devices in
Page Link: free download matlab code for qrs detection based on multiscale mathematical morphology for wearable ecg devices in -
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Created at: Friday 14th of December 2012 03:11:30 AM
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Title: matlab code for p wave detection in ecg signal
Page Link: matlab code for p wave detection in ecg signal -
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Created at: Friday 01st of March 2013 02:24:05 PM
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Title: matlab source code for ecg signal denoising using db4 wavelet transform
Page Link: matlab source code for ecg signal denoising using db4 wavelet transform -
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Created at: Thursday 19th of May 2016 02:23:11 AM
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Title: A Wavelet based Secured ECG Distribution Technique for Patient Centric Approach
Page Link: A Wavelet based Secured ECG Distribution Technique for Patient Centric Approach -
Posted By: seminar details
Created at: Tuesday 05th of June 2012 06:33:33 PM
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A Wavelet based Secured ECG Distribution Technique for Patient
Centric Approach





INTRODUCTION
AFTER the commencement of Health Insurance
Portability Accountability Act of 1996 (HIPAA) in US,
health information are highly expected to be secured . Since ECG signal contains sensitive health information
about the patient , which might be useful to certain
organizations like health insurance companies, securing of
ECG before transmission to rec ....etc

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Title: matlab code for pan tompkins algorithm for ecg wave analysis
Page Link: matlab code for pan tompkins algorithm for ecg wave analysis -
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Created at: Tuesday 16th of October 2012 03:41:04 PM
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Title: CLASSIFICATION OF ECG SIGNAL USING WAVELET ANALYSIS
Page Link: CLASSIFICATION OF ECG SIGNAL USING WAVELET ANALYSIS -
Posted By: seminar class
Created at: Monday 18th of April 2011 01:35:53 PM
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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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Title: ECG Analysis using Wavelet Transforms
Page Link: ECG Analysis using Wavelet Transforms -
Posted By: computer girl
Created at: Thursday 07th of June 2012 02:00:53 PM
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ECG Analysis using Wavelet Transforms



Electrocardiograph

Electrical activity of the heart, condition of the heart muscle.
Waves are inscribed on ECG during myocardial depolarization and repolarization.
Usually time-domain ECG signals are used.
New computerized ECG recorders utilize frequency information to detect pathological condition.
ECG consists of P-wave, QRS-complex, the T-wave and U-wave.
P-wave-depolarization of atria.
QRS-complex-depolarization of ventricles.
T-wave-repolarization of ven ....etc

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Title: wavelet based image fusion for the detection of brain tumor matlab code
Page Link: wavelet based image fusion for the detection of brain tumor matlab code -
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Created at: Sunday 17th of August 2014 09:51:33 PM
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Title: object detection using gabor wavelet matlab code
Page Link: object detection using gabor wavelet matlab code -
Posted By:
Created at: Thursday 11th of May 2017 05:57:57 PM
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Hi , 

I am Muhammad Walid. need to get this code to understand how wavelet transforms are able to detect moving objects? 
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Title: An Optimal Wavelet Based Algorithm for Removal of Power Line Interferences in ECG Sig
Page Link: An Optimal Wavelet Based Algorithm for Removal of Power Line Interferences in ECG Sig -
Posted By: project report helper
Created at: Friday 29th of October 2010 04:48:39 PM
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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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