DESIGN DEVELOPMENT AND IMPLEMENTATION OF ANDROID-BASED ELECTROCARDIOGRAM READER
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Abstract
Abstract: Heart disease is the number one cause of death in the world. Heart disease is one of the most common diseases and one of the highest causes of death in Indonesia (Ministry of Health, 2017). Health disease isn’t easy to detect because it can’t be seen physically, requiring a tool to monitor heart condition, i.e. Electrocardiogram (ECG). Although the result of electrocardiogram measurement is time graph to voltage called electrocardiogram (ECG), it can analyze and identify patient’s heart condition automatically, only displaying seven criteria in interpreting Electrocardiogram (ECG) result, i.e. Heart Rate, Rhythm), P Wave, P-QRS Distance (PR Interval), QRS Complex (PR Interval), QRS Complex, S_T Segment and T Wave. Therefore, it requires specialist ability to interpret the result of measurement of heart muscle activity. That’s why there are many cases of heart disease which are treated late, because analysis takes a long time. Despite obtaining ECG data, it’s difficult to know information in ECG record result. To read ECG record, one must have experience and knowledge on health disease and its symptoms. Manual extraction of important information of signals in ECG is very inefficient due to the amount of data to observe.
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