Key result
LabVIEW-based automated ECG system successfully detects diverse cardiac abnormalities against normal signals.
Why the study?
There is a need for a cheap, convenient, and accurate ECG detection system to diagnose various cardiac arrhythmias and abnormalities.
Describes the design of a LabVIEW-based automated ECG detection system for identifying various cardiac arrhythmias and disorders.
ECG-based arrhythmia screening may support earlier detection in resource-limited settings; leaves open its effect on outcomes pending higher-level validation.
In the present age, most cardiac arrhythmias are emerging due to irregular rhythmic conditions of the heart. Diagnosis of cardiac arrhythmias plays an essential role in the survival of the human race. If rhythms of nature are distorted for any reason, it leads to several variations or abnormalities known as heart arrhythmias. Irregular heartbeats lead to anomalous P, QRS, and T values, which the patient’s ECG can follow. The growing well-being concerns, especially for cardiac arrhythmias, reflect the requirement of creating a cheap and convenient ECG detection system. The most common heart conditions are tachycardia, bradycardia, atrial fibrillation, myocardial infarction and many other cardiac disorders. These diseases are one of the most significant causes of death worldwide. There is much research for recognizable proof of cardiovascular diseases utilizing ECG diagnostic toolbox and different software. So, in this project, the idea is to design an Automatic Disease Detection System on LabVIEW to detect various cardiac abnormalities such as Atrial Flutter (AF), Supraventricular Tachycardia (SVT), Left Bundle Branch Block (LBBB), Ventricular Fibrillation (VF), Myocardial Infarction (MI), Hyperkalaemia and Digoxin by comparing it to the normal ECG signal. So for this, NI LABVIEW (2018) software has been used for designing. This Automated Disease Detection System, hopefully, gives the best accurate and fast results which are low cost, effective, efficient, easy handled and high accuracy rate detection system which can be used in hospitals for medical professionals.
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F. Hamza (2023) studied Cardiac arrhythmias. Automatic Disease Detection System on LabVIEW vs. Normal ECG signal was evaluated on Detection of various cardiac abnormalities. An Automatic Disease Detection System was designed using NI LABVIEW (2018) to detect various cardiac abnormalities by comparing them to normal ECG signals.
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