Smart Home-based Health Platform for Behavioral Monitoring Diabetes and Obesity

用于糖尿病和肥胖行为监测的智能家居健康平台

• 批准号: 7501264
• 负责人: Abdelsalam (Sumi) Ali Helal
• 金额: $ 29.38万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-09-26 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7501264
• 关键词: Adult; Age; Algorithms; Alzheimer' s Disease; Area; Arthritis; Atlases; Back; Behavior; Behavior Therapy; Behavior monitoring; Behavioral; Biological Sciences; Blood Glucose; Blood Pressure; Blood Pressure Monitors; Blood Tests; Body Weight; Cardiac; Caregivers; Centers for Disease Control and Prevention (U.S.); Central Nervous System Diseases; Chronic Disease; Classification; Clinical; Communities; Compatible; Computer software; Condition; Data; Data Analyses; Development; Devices; Diabetes Mellitus; Disease; Economic Factors; Economics; Educational Curriculum; Effectiveness; Energy Intake; Epidemic; Etiology; Exercise; Expenditure; Eye; Face; Facility Construction Funding Category; Feedback; Florida; Fostering; Foundations; Future; Gerontology; Growth; Health; Health Professional; Health Services Research; Healthcare; Heart Diseases; Heart Rate; High Blood Pressure; Home environment; Human; Individual; Internet; Intervention; Kidney; Laboratories; Life Style; Maintenance; Malignant Neoplasms; Measurement; Measures; Medical; Medical Research; Medicine; Modeling; Monitor; Motion; Neuraxis; Nurses; Obesity; Overweight; Patient Monitoring; Patient Noncompliance; Patients; Personal Satisfaction; Pharmaceutical Preparations; Physical activity; Physicians; Physiologic Monitoring; Population; Prevalence; Procedures; Psychology; Publications; Rate; Reference Standards; Reporting; Research; Research Infrastructure; Research Personnel; Research Subjects; Risk; Science; Self Management; Senility; Services; Social Network; Sociology; Sports Medicine; Stream; Stroke; Students; Support of Research; System; Technology; Test Result; Testing; Time; Training; Training and Education; Treatment Protocols; United States; Universities; Visual; Work; base; blood glucose regulation; commercialization; cost; design; diabetic; diet and exercise; dissemination research; dosage; health care delivery; health care quality; improved; innovation; interoperability; obesity management; programs; prototype; psychologic; research and development; response; sedentary; sensor; social; social group; tool

DESCRIPTION (provided by applicant): SmartHome-based Health Platform for Behavioral Monitoring and Alteration for Diabetic and Obese Individuals Executive Summary. Researchers in the social and life sciences, as well as medical researchers and practitioners, have long sought the ability to continuously and automatically monitor research subjects or patients for a variety of conditions or disorders. Additionally, the use of monitoring data to influence treatment dosage or regimen within real-time constraints is an important objective of behavior modification practice for psychological, medical, and sports-medicine therapies. In terms of practical constraints related to health care, the United States faces several important obstacles to delivering acceptable quality-of-service at a reasonable unit cost per patient. Firstly, obesity, diabetes, heart disease, and stroke are but a few manifestations of patient noncompliance with respect to diet, exercise, and medication. Secondly, Alzheimer's and other senility-related disorders, although of different etiology, threaten to overload our health care delivery and maintenance systems, resulting in potentially severe economic impact. As one example, over the past two decades the prevalence of overweight and obesity has increased at an alarming rate throughout the U.S. Recent data from the Centers for Disease Control and Preventions (2004) show that 60% of all adults in Florida are overweight or obese. Excess body weight contributes to numerous harmful consequences, including diabetes, heart disease, high blood pressure, stroke, arthritis, and certain cancers. Sedentary lifestyle and high caloric intake are important contributors to the obesity epidemic and to the development of many chronic diseases. It is well known that diet and exercise can significantly reduce the prevalence of obesity. However, lifestyle and economical factors makes it difficult for individuals to self-assess and self-modify their behavior. For example, studies in the United States and abroad have found that improved blood glucose control markedly benefits people with diabetes. Every percentage point decrease in A1C blood test results reduces the risk of eye, kidney and central nervous system complications by 40 percent. In response to these significant challenges in life sciences research and healthcare, we propose to develop a monitoring and analysis platform consisting of economically deployable connectivity technology and personal wearable devices. This will enable the automatic gathering of rich behavioral information in a manner transparent to the patient, which will be automatically or humanly analyzed and reported to care givers for analysis, and interpreted for behavior modification in individuals or in the context of a social network. The proposed prototype and research will foster cross-disciplinary discoveries and innovations in the life sciences and medicine, and will facilitate behavior modification in support of research in social, behavioral, and medical science. This will be achieved through dissemination of research results on the Internet and World- Wide Web, as well as training seminars and curriculum design to facilitate the education and training of students, researchers, and medical professionals who will use the proposed technology. SmartHome-based Health Platform for Behavioral Monitoring and Alteration for Diabetic and Obese Individuals Project Narrative The proposed project will empower researchers in the social and life sciences, as well as medical researchers and practitioners with high tools for continuous and impact automated remote monitoring and intervention. The proposed project exploits technological advances to realize a higher quality healthcare at a lower unit cost per patient. The proposal focus on the management of obesity and diabetes will benefit a large and growing segment of the population, while providing a wider applicable foundation for other healthcare problems and practices.

描述（由申请人提供）：基于智能家居的糖尿病和肥胖个体行为监测和改变健康平台执行摘要。社会科学和生命科学的研究人员以及医学研究人员和从业者长期以来一直在寻求连续且自动地监测研究对象或患者的各种状况或病症的能力。此外，使用监测数据来影响实时约束内的治疗剂量或方案是心理、医学和运动医学疗法的行为矫正实践的重要目标。在与保健有关的实际限制方面，美国在以合理的单位成本为每位病人提供可接受的服务质量方面面临着几个重大障碍。首先，肥胖、糖尿病、心脏病和中风只是患者不遵守饮食、锻炼和药物治疗的少数表现。第二，阿尔茨海默氏症和其他与衰老有关的疾病，尽管病因不同，但有可能使我们的保健提供和维持系统超负荷，造成潜在的严重经济影响。作为一个例子，在过去的二十年中，超重和肥胖的流行在整个美国以惊人的速度增加。来自疾病控制和预防中心（2004）的最近数据显示，佛罗里达的所有成年人中有60%超重或肥胖。超重会导致许多有害后果，包括糖尿病、心脏病、高血压、中风、关节炎和某些癌症。久坐不动的生活方式和高热量摄入是肥胖症流行和许多慢性疾病发展的重要因素。众所周知，饮食和运动可以显著降低肥胖的患病率。然而，生活方式和经济因素使个人难以自我评估和自我修改他们的行为。例如，美国和国外的研究发现，改善血糖控制对糖尿病患者明显有益。A1C血液检测结果每降低一个百分点，眼睛、肾脏和中枢神经系统并发症的风险就会降低40%。为了应对生命科学研究和医疗保健领域的这些重大挑战，我们建议开发一个由经济可部署的连接技术和个人可穿戴设备组成的监测和分析平台。这将使得能够以对患者透明的方式自动收集丰富的行为信息，这些信息将被自动或人工分析并报告给护理人员进行分析，并被解释用于个人或社交网络的背景下的行为修改。拟议的原型和研究将促进生命科学和医学的跨学科发现和创新，并将促进行为矫正，以支持社会，行为和医学科学的研究。这将通过在互联网和万维网上传播研究成果以及培训研讨会和课程设计来实现，以促进对将使用拟议技术的学生、研究人员和医疗专业人员的教育和培训。基于智能家居的糖尿病和肥胖个体行为监测和改变的健康平台项目叙述拟议的项目将为社会和生命科学研究人员以及医学研究人员和从业人员提供持续和影响自动化远程监测和干预的高级工具。拟议项目利用技术进步，以较低的单位成本实现更高质量的医疗保健。该提案侧重于肥胖和糖尿病的管理，将使越来越多的人口受益，同时为其他医疗保健问题和实践提供更广泛的适用基础。