RHYTHMI: A Deep Learning-Based Mobile ECG Device for Heart Disease Prediction
Alaa Eleyan,
Ebrahim AlBoghbaish,
Abdulwahab AlShatti
et al.
Abstract:Heart disease, a global killer with many variations like arrhythmia and heart failure, remains a major health concern. Traditional risk factors include age, cholesterol, diabetes, and blood pressure. Fortunately, artificial intelligence (AI) offers a promising solution. We have harnessed the power of AI, specifically deep learning and convolutional neural networks (CNNs), to develop Rhythmi, an innovative mobile ECG diagnosis device for heart disease detection. Rhythmi leverages extensive medical data from dat… Show more
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