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Abstract
About 8.8 million males and 6.6 million females alive today have been affected by Coronary Heart Disease (CHD). Of these 5.0 million males and 2.6 million females have been diagnosed with Myocardial Infarction (MI), according to the statistics updated by the American Heart Association (AHA) in 2013 [1]. Early diagnosis and appropriate treatment of CHD is essential to minify the mortality rate due to CHD.
This accentuates the need for an accurate and reliable equipment for monitoring the health conditions of hearts of human beings to treat the disease in advance before it brings about an irrevocable change in their body. One of the equipment’s used for this purpose is an Electrocardiograph, and the acquired signal is called an ECG signal. The acquisition process of this signal is hindered by a number of artifacts and removal of these artifacts is of paramount importance before the ECG signal could be used for disease diagnosis purpose.
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References
- American heart association data
- http://en.wikipedia.org/wiki/Electrocardiography
- “Pre-processing of ECG signals for ambulatory useâ€, Raghu Vishnubhotla,
- http://www.niu.edu/CEET/NIUEngineeringReview/ StudentPapers/Pre-processingOfECGSignalsForAmbulatoryUse-- Raghu--PGs7-11.pdf
- “A Cardiac Electro-physiological Model Based Approach for Filtering High Frequency ECG Noiseâ€, MA Mneimneh, GF Corliss, RJ Povinelli, Computers in Cardiology 2007, 34, Pg109−112
- “A Survey Of Noise Removal Techniques For Ecg Signalsâ€, Bhumika Chandrakar, O.P.Yadav, V.K.Chandra, International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 3, March 2013
- http://en.wikipedia.org/wiki/Finite_impulse_respon se
- http://www.mikroe.com/chapters/view/72/chapter- 2-fir-filters/
- http://en.wikipedia.org/wiki/Kaiser_window
References
American heart association data
http://en.wikipedia.org/wiki/Electrocardiography
“Pre-processing of ECG signals for ambulatory useâ€, Raghu Vishnubhotla,
http://www.niu.edu/CEET/NIUEngineeringReview/ StudentPapers/Pre-processingOfECGSignalsForAmbulatoryUse-- Raghu--PGs7-11.pdf
“A Cardiac Electro-physiological Model Based Approach for Filtering High Frequency ECG Noiseâ€, MA Mneimneh, GF Corliss, RJ Povinelli, Computers in Cardiology 2007, 34, Pg109−112
“A Survey Of Noise Removal Techniques For Ecg Signalsâ€, Bhumika Chandrakar, O.P.Yadav, V.K.Chandra, International Journal of Advanced Research in Computer and Communication Engineering Vol. 2, Issue 3, March 2013
http://en.wikipedia.org/wiki/Finite_impulse_respon se
http://www.mikroe.com/chapters/view/72/chapter- 2-fir-filters/