Real-time heart disease detection system, has non-invasive sensor module integrated into an Arduino-based hardware kit for continuous collection of physiological data, including heart rate, peripheral oxygen saturation, and hybrid machine learning model combines spider monkey optimization
	VERMA G; MAITHANI A
	2025-03-25
专利权人	UNIV DIT (UYDI-Non-standard)
申请日期	2025-03-25
专利号	IN202511028181-A
成果简介	NOVELTY - The system has a non-invasive sensor module integrated into an Arduino(RTM: Electronics prototyping design system)-based hardware kit for continuous collection of physiological data, including heart rate, peripheral oxygen saturation (SpO2), blood pressure, body temperature, and motion parameters using accelerometers. A hybrid machine learning model combines spider monkey optimization (SMO), Weighted K-Nearest Neighbors (KNN), and XGBoost(RTM: Open-source software library) to optimize hyperparameters and enhance classification accuracy. An advanced data pre-processing unit detects outliers using Mahalanobis distance, performs weighted imputation for missing data, and derives additional health-related features, such as pulse pressure, to improve model performance. USE - Real-time heart disease detection system. ADVANTAGE - The system is designed to be lightweight, portable, and cost-effective, making it accessible to users in clinical and non-clinical settings. The system's cloud integration allows long-term storage of user data, regular model updates for continuous learning, seamless data access across devices, ensuring scalability and widespread applicability, real-time insights and risk scores, personalized health recommendations, enhanced usability and encourages proactive heart health management, and cloud connectivity for scalability. DESCRIPTION OF DRAWING(S) - The drawing shows a flow chart of the real-time heart disease detection system.
IPC 分类号	A61B-005/00 ; A61B-005/024 ; G16H-010/60 ; G16H-050/20 ; G16H-050/30
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/13508
专题	中国科学院新疆生态与地理研究所
作者单位	UNIV DIT (UYDI-Non-standard)
推荐引用方式 GB/T 7714	VERMA G,MAITHANI A. Real-time heart disease detection system, has non-invasive sensor module integrated into an Arduino-based hardware kit for continuous collection of physiological data, including heart rate, peripheral oxygen saturation, and hybrid machine learning model combines spider monkey optimization. IN202511028181-A[P]. 2025.

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