System for predicting heart abnormalities and myocardial infarction using machine learning, has processor for executing instructions, where the processor performs computation to build neural network model
	SHENOY S A; THUNGA V G; THEJAS S S; BHAT S V; SHREERAKSHA
	2023-10-11
专利权人	SHRI MADHWA VADIRAJA INST TECHNOLOGY (SHRI-Non-standard)
申请日期	2023-10-11
专利号	IN202341068141-A
成果简介	NOVELTY - The system has a data acquisition module (101) for obtaining ECG imaging data from medical sources and databases. A memory (105) stores and manages the imaging data. A processor (103) executes instructions, where the processor performs computation and builds a neural network model. The processor processes the ECG data to resize, normalize and reduce noise to enhance image quality, where the processed data is organized into classes of abnormality as fusion of ventricular and normal beat, missing beat, normal, premature ventricular contraction, unclassifiable and supraventricular premature beat, and the classes of ECG are fed to a convolutional neural network (CNN) model in the processor. A communication interface (105) is connected with heart abnormality prediction systems. USE - System for predicting heart abnormalities and myocardial infarction using machine learning. Uses include but are not limited to irregular heart rhythms (arrhythmias), structural defects in heart chambers or valves, reduced pumping efficiency (heart failure), or compromised blood supply (coronary artery disease). ADVANTAGE - The system improves classification accuracy for predicting abnormalities in heart by the machine learning model, and improves heart disease diagnosis and patient care. The system revolutionizes medical imaging, and plays a significant role in early detection, accurate diagnosis and personalized treatment of abnormalities in the heart. DESCRIPTION OF DRAWING(S) - The drawing shows a block diagram of a system for predicting heart abnormalities and myocardial infarction using machine learning. 101Data acquisition module 103Processor 105Memory 107Communication interface
IPC 分类号	A61B-005/00 ; G06N-020/00 ; G06N-003/04 ; G06N-003/08 ; G16H-050/20
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/20035
专题	中国科学院新疆生态与地理研究所
作者单位	SHRI MADHWA VADIRAJA INST TECHNOLOGY (SHRI-Non-standard)
推荐引用方式 GB/T 7714	SHENOY S A,THUNGA V G,THEJAS S S,et al. System for predicting heart abnormalities and myocardial infarction using machine learning, has processor for executing instructions, where the processor performs computation to build neural network model. IN202341068141-A[P]. 2023.

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