Description of Invention
In the realm of modern healthcare, the accurate detection and classification of heart rate abnormalities, particularly in the context of ischemic heart disease, have emerged as critical imperatives. Timely identification of heart rate irregularities holds the key to early diagnosis and effective management, significantly impacting patient outcomes. As such, researchers have ventured into diverse possibilities, exploring technologies and innovative approaches to enhance heart rate monitoring and classification. The objective of this study is to evaluate the efficacy of various machine learning algorithms in classifying heart rate, leveraging the capabilities of IoT-based sensor systems