Real-Time Ecg Signal Processing For Cardiac Monitoring

Abstract

The PTB and MIT_BIH databases are used to test the proposed methodology empirically, and it is seen that the accuracy of the recommended method is 98.8% higher than that of previous literature work. Artificial intelligence (AI) presents a viable answer by allowing computer-aided systems to evaluate symptoms and differentiate between healthy people and those who are unwell, thereby simplifying diagnosis and treatment. In order to create systems that learn from datasets, draw on existing knowledge, and constantly enhance performance, artificial intelligence (AI) research integrates ideas from computer science.  Because of this connection, AI systems can gradually adjust and improve how they operate. Deep Learning (DL) and Machine Learning (ML) are included in the interdisciplinary field.  Data-driven models that are proficient in classification, regression, and clustering operations are made possible by machine learning.  In order to create practical and intelligible models, knowledge domain professionals must perform feature engineering for traditional machine learning techniques including regression, Random Forest, support vector machines, and K closest neighbours.