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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/11432

Title: An Artificial ECG Signal Generating Function in MATLABTM
Authors: Ackora-Prah, Joseph
Aidoo, Anthony Y.
Gyamfi, Kwaku Baah
Keywords: Electrograph
Issue Date: 2013
Publisher: Applied Mathematical Sciences
Citation: Applied Mathematical Sciences, Vol. 7, 2013, no. 54, 2675 - 2686
Abstract: invaluable tools for diagnosing cardiac disorders. However, ECG signals recorded from electrocardiograph are usually corrupted by noise attributed to several factors. To help solve these problems, we develop a simple but inexpensive and easy-to-implement MATLABTM model that generates ECG signals and gives us mathematical control over the ECG signal. Our model fuses Mathematical functions in MATLABTM with physiological data.
Description: An article published in Applied Mathematical Sciences, Vol. 7, 2013, no. 54, 2675 - 2686
URI: http://hdl.handle.net/123456789/11432
Appears in Collections:College of Science

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