ECG Acquired
Version 1.0.0 (70.7 KB) by
BACHIR Mhamed Saadi
For ECG Acquired and signal processing and ECG parameter
According to the World Health Organization (WHO), cardiovascular pathologies are responsible for the death of 17.7 million people each year. This figure represents more than 31% of deaths worldwide. This is why it is very important to take the necessary measures to properly monitor heart activity. It is appropriate to act to help patients suffering from a chronic disease and their medication with all possible means to avoid the maximum risk.The electrocardiogram (ECG) is the examination that studies the functioning of the heart by specifying its electrical activity. With each beat, the heart is crossed by an electrical impulse. The ECG is the common way to measure and record these different impulses. Analyzing a traced ECG, a doctor can decide on a diagnosis for his patient. Thus, it can determine whether a patient's electrical activity is normal or irregular.In order to best exploit the data of an ECG signal, the use of new techniques has proven to be essential. Specialized tools and information systems must be used to help doctors in monitoring patients, as well as in decision-making.In this sense, the field of cardiology has experienced considerable development, several systems have emerged in recent years. Very often, the defined objective is to be able to improve the quality of the signal (noise filtering) and to extract important information that is not visible by visual analysis.Continuous monitoring and control of heart rhythm is fundamental to the management of a cardiac patient. Heart rate (HR). It is the state reference to act or to adapt to certain physical efforts. It is for this reason that we have tried, as part of our end-of-studies project, to propose an ECG system capable of taking cardiac impulses and calculating the heart rate.Our work aims to propose an original method for detecting heart rhythm abnormalities from the ECG signal. The adopted method is based on filtering.The manuscript of this dissertation is organized around three chapters, as follows:The first chapter presents the general anatomy of the heart, the electrocardiogram, and in particular the different types of anomalies that exist on a recorded ECG signal.In the second chapter, we will present the state of the art for this work: a description of the software environment in which we worked and the electronic components (the hardware environment).The third chapter is devoted to the presentation of the software and the different functionalities implemented.Finally, a general conclusion.
Cite As
BACHIR Mhamed Saadi (2025). ECG Acquired (https://www.mathworks.com/matlabcentral/fileexchange/131109-ecg-acquired), MATLAB Central File Exchange. Retrieved .
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Acknowledgements
Inspired by: ECG PEAK DETECTION
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