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Module 2 ECG Classification

Module 2 ECG Classification - Module 2 ECG Classification...

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Module 2 ECG Classification Nick Hookham TA: Tony Prisco 9/25/07 BIEN 1 2002
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Introduction: Algorithms to allow a computer to analyze data taken from tests such as an ECG are essential in the medical world. An ECG is an electrical reading of the heart’s electrical activity. In this lab, prepared printouts of ECG’s from both healthy patients and patients with Arterial Fibrillation were given out with the task of finding a common denominator that separated the two every time. Methods: This lab involved creating an algorithm that would hold true to all cases of arterial fibrillation and not just the some cases. The algorithms that were written were not intended for computers, but rather simple if then statements for another group to test out with both known and unknown readouts of ECG’s. The objective was to make the algorithm as user friendly as possible and at the same time be extremely accurate. Results: Our algorithm (Partner-Mathew Huberty) - If V1 has no waveform “a” with a peak
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