Electrocardiogram signals classification using random forest method for web-based smart healthcare
Juni Nurma Sari,
Putri Madona,
Hari Kusryanto
et al.
Abstract:<span>Coronary heart is the highest cause of death in Indonesia reaching 26%. Therefore, to prevent the high mortality rate of coronary heart disease (CHD), early detection of CHD can be carried out. One way is to examine the electrocardiogram/electrocardiograph (ECG) recording. ECG hardware has been made in previous studies to record ECG signals. ECG research is an important study because it can detect cardiovascular disease. Cardiovascular diseases can be classified as arrhythmic diseases. Arrhythmia i… Show more
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