Abstract
AbstractEarly detection methods of abnormal heart rhythms are extremely demanded to support effective diagnosis and treatment of patient heart diseases and avoid heart stroke which is the main cause of human death. This study proposes a low-cost system to continuously record electrocardiogram signals by two electrode plates placed on the chest for the purpose of monitoring cardiac electrical signals, and detecting abnormalities in heart rhythm using the threshold-based and neural network-based approaches. A device for signal acquisition and pre-processing has been designed, fabricated and tested with normal people to create a self-built normal ECG database. The recognition results obtained from our self-built database and a published online ECG database. It shows high performance in normal and abnormal heart rhythm recognition which would be helpful for physicians to diagnose the abnormal signal of the heart in time.KeywordsECGAbnormal heart rhythm warning2-electrode ECGR-R interval
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