Biomedical Research

An arrhythmia is a disease in which the heart may beat too fast, too early, too slow or irregular and few may give rise to death or irreparable danger. Atrial fibrillation is one of the most common types of arrhythmia; in this case the heart may race at more than 400 beats per minute. The complications due to atrial fibrillation may lead to cardiomyopathy, haemodynamic instability, strokes or even cardiac failure. The main purpose of this study is to design and develop a simple tool box for the early detection of the atrial fibrillation using the biomedical toolkit of the LabVIEW. As ECG is the conventional method of its detection, but suffers several disadvantages regarding accuracy in diagnosis, but when these vital signals are subjected to the real time analysis on a specially designed LabVIEW based toolbox, the diagnosis accuracy and the correct prediction increases several times. This study will prove to be a great panacea for the cardiac affected patients when the fatal threat to the heart, arrhythmia will be detected at a very early stages.

Author(s): Ajay Sharma, Hanuman Prasad Shukla
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