Abstract

One of the main sources of death in the globe is heart illness, and successful treatment depends on early detection. Heart illness is frequently diagnosed using the electrocardiogram (ECG) method, but data misclassification reduces its accuracy. In this paper, we develop an intelligent Low cost ECG device for automated classification of critical and non-essential information from an unbalanced ECG datas built in for smart IOT-based healthcare devices. The proposed method resolves the problem of data misclassification by transforming the unlabeled data into a balanced dataset. The proposed ECG device has the ability to help medical professionals recognize crucial ECG beats and make an exact diagnosis of cardiac illness and achieves 97.58% accuracy rate. The use of IOT technology makes it possible for remote tracking and real-time data analysis, which makes it simpler for healthcare professionals to watch patients' ECG data and make wise treatment choices. Overall, the low cost ECG device, with its quick and accurate detection powers that enhance patient outcomes, has the potential to revolutionize how cardiac disease is identified and managed in smart healthcare.