The Development of a Smart Telehealth ECG and Human Activity Monitoring System to Improve Cardiovascular health of Older Adults

开发智能远程医疗心电图和人体活动监测系统以改善老年人的心血管健康

• 批准号: 10439299
• 负责人: Yongkuk Lee
• 金额: $ 42.68万
• 依托单位: WICHITA STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10439299
• 关键词: Adoption; Ambulatory Monitoring; Arrhythmia; Assisted Living Facilities; Biomedical Engineering; Cardiac; Cardiovascular Diseases; Caring; Chronic Care; Classification; Complex; Computers; Consultations; Data; Detection; Development; Devices; Diagnosis; Education; Elderly; Electrocardiogram; Electronics; Ensure; Environment; Event; Failure; General Population; Goals; Health; Health Personnel; Healthcare; Home; Human Activities; Intervention; Knowledge; Mechanics; Mission; Monitor; Morbidity - disease rate; Motion; Outcome; Participant; Patient Care; Patient Preferences; Patients; Perception; Performance; Physiological; Play; Population; Printing; Public Health; Quality of life; Reduce health disparities; Research; Role; Rural Community; Scientist; Services; Signal Transduction; Skin; Social Work; Stretching; Structure; Symptoms; System; Technology; Testing; Time; Training; Training and Education; United States; United States National Institutes of Health; Validation; Visual; age group; automated analysis; base; cardiovascular health; clinical decision-making; cloud based; computer science; cost; cost effective; data exchange; deep learning; deep learning model; design; experimental study; feasibility testing; flexibility; health disparity; health literacy; human subject; improved; innovation; insight; literacy; mobile application; monitoring device; mortality; patient oriented; portability; preference; telehealth; telehealth systems; tool; user-friendly; virtual; wearable device; wearable sensor technology

PROJECT SUMMARY/ABSTRACT While the quality of overall health care has been substantially improved during the past few decades, cardiovascular disease (CVD) continues to be the number one leading cause of morbidity and mortality in the United States. Arrhythmias and other cardiac symptoms are often not detectable since many of them are intermittent. To enhance cardiovascular health care, therefore, it is important to develop a smart telehealth system that provides long-term ambulatory monitoring of high-quality ECG signals with automated ECG analysis for timely intervention when cardiac events occur. Furthermore, it is essential to understand needs, perceptions, and preferences of older adults for telehealth and long-term wearable health monitoring devices to improve their acceptance and use of the system since it will be widely used among older adults due to their high rates of CVD. The broad, long-term goal of this study is to reduce morbidity and mortality of CVD and improve cardiovascular health of older adults by developing a user-friendly, smart telehealth system. As the first step toward achieving the goal, the objective of this study is to develop a new class of technologies for an ambulatory ECG and human activity monitoring system via fundamental understanding of inkjet-printing technologies, stretchable mechanics, deep learning approaches for automated analysis, and knowledge and perceptions of older adults for wearable health monitoring-based telehealth including the proposed system. This study includes the following specific aims: (1) Experimental study for optimal inkjet printing conditions and flexible/stretchable mechanics of inkjet- printed electronics for long-term ambulatory ECG and human activity monitoring. The expected outcome will be successful demonstration of a low-cost, simple, and rapid fabrication for ultrathin, skin-wearable health monitoring devices; (2) Development of two different state-of-the-art Deep Learning based models for classification of ECG arrhythmias and human activities to fulfill needs of both health care providers and patients for fast but accurate and efficient arrhythmia detection in various computing environments; (3) Understand telehealth literacy and perceptions of older adult population for long-term wearable health monitoring devices. The structured studies for understanding knowledge and perceptions of the older adult population will ensure the successful adoption of the smart telehealth system; and (4) Validation of features and functions of the proposed device for smart telehealth. This convergence research with expertise in biomedical engineering, computer science, and social work will tackle existing complex challenges in the development of the smart telehealth system. Findings from the proposed study will provide important insights for biomedical engineers, computer scientists, social work practitioners, and health care providers to improve the quality of life for older adults and other age groups through the development of smart telehealth systems. Overall, the proposed study will improve the quality of life and independence of older adults by reducing morbidity and mortality from CVD and improve the cardiovascular health of older adults, which is also well aligned with the NIH’s mission.

项目摘要/摘要 虽然在过去几十年中，整体医疗保健的质量有了很大提高， 心血管疾病（CVD）仍然是世界上发病率和死亡率的头号主要原因。 美国的心律失常和其他心脏症状通常无法检测，因为其中许多是 断断续续的因此，为了加强心血管健康护理，开发智能远程医疗非常重要 通过自动ECG分析提供高质量ECG信号的长期动态监测的系统 以便在心脏事件发生时及时进行干预。此外，必须了解需求、看法、 以及老年人对远程医疗和长期可穿戴健康监测设备的偏好， 该系统的接受和使用，因为它将在老年人中广泛使用，因为他们的心血管疾病的高发病率。 本研究的广泛、长期目标是降低心血管疾病的发病率和死亡率，改善心血管疾病的预后。 通过开发一个用户友好的智能远程保健系统，改善老年人的健康。作为实现 本研究的目的是开发一种新的技术，用于动态心电图和人体 通过对喷墨打印技术，可拉伸力学， 用于自动分析的深度学习方法，以及老年人对可穿戴设备的知识和看法 基于健康监测的远程医疗，包括拟议的系统。本研究包括以下具体内容： 目的：（1）喷墨打印的最佳条件和喷墨打印机的柔性/可拉伸力学的实验研究- 用于长期动态ECG和人体活动监测的印刷电子产品。预期的结果将是 成功展示了一种低成本、简单、快速制造可穿戴、皮肤可穿戴的健康产品 （2）开发两种不同的基于深度学习的模型， ECG心律失常和人类活动的分类，以满足医疗保健提供者和患者的需求 用于在各种计算环境中快速但准确和有效的心律失常检测;（3）了解 远程医疗素养和老年人对长期可穿戴健康监测设备的看法。 为了解老年人的知识和看法而进行的结构性研究将确保 成功采用智能远程保健系统;以及（4）验证 智能远程医疗的建议设备。这项融合了生物医学工程专业知识的研究， 计算机科学和社会工作将解决智能发展中现有的复杂挑战。 远程医疗系统这项研究的结果将为生物医学工程师提供重要的见解， 计算机科学家，社会工作者和医疗保健提供者，以改善老年人的生活质量 通过开发智能远程保健系统，为成年人和其他年龄组提供服务。总体而言，拟议的研究 将通过降低心血管疾病的发病率和死亡率来改善老年人的生活质量和独立性 并改善老年人的心血管健康，这也与NIH的使命一致。