A mobile framework to measure ejection fraction by automated non-invasive analysi

通过自动非侵入性分析测量射血分数的移动框架

• 批准号: 9145946
• 负责人: Kaustubh Kale
• 金额: $ 6.32万
• 依托单位: AVENTUSOFT, LLC
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-23 至 2017-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9145946
• 关键词: Accounting; Address; African American; Algorithms; Area; Auditory; Auscultation; Blood Pressure; Car Phone; Cardiac; Cardiology; Cardiomyopathies; Cardiopulmonary; Cardiovascular Diseases; Care Technology Points; Caring; Cause of Death; Cellular Phone; Cessation of life; Chest wall structure; Clinic; Clinical; Clinical Trials; Code; Collaborations; Communities; Complex; Data; Department of Defense; Detection; Development; Devices; Diagnosis; Diagnostic; Disease Management; Doctor of Medicine; EFRAC; Early Diagnosis; Echocardiography; Electrocardiogram; Engineering; Feedback; Florida; Functional disorder; Future; General Practitioners; Goals; Health; Health Fairs; Health Personnel; Health Professional; Health Services Accessibility; Heart; Heart Auscultation; Heart Diseases; Heart Sounds; Heart Valves; Heart failure; Hospitals; Improve Access; Institutional Review Boards; Joints; Label; Lead; Left; Left Ventricular Ejection Fraction; Mass Screening; Master of Public Health; Measurement; Measures; Medical; Medical center; Methods; Minor; Mississippi; Mitral Valve; Modality; Monitor; Output; Pathologic; Patients; Performance; Phase; Physicians; Population; Prevention; Preventive; Primary Health Care; Public Health; Pulmonary valve structure; Reporting; Research; Research Project Grants; Resources; Risk Factors; Running; Science; Scientist; Signal Transduction; Small Business Innovation Research Grant; Solutions; Surgeon; System; Tablet Computer; Tablets; Techniques; Technology; Telephone; Therapeutic; Training; Transducers; Triage; Tricuspid valve structure; Underserved Population; United States Dept. of Health and Human Services; Universities; Ventricular; Visit; Woman; Work; aortic valve; base; checkup examination; clinical practice; clinically relevant; cost; cost effective; evidence base; health care delivery; health care quality; health disparity; heart disease risk; improved; insight; men; minority health; new technology; novel; novel diagnostics; professor; screening; sensor; sound; telehealth; tool

DESCRIPTION (provided by applicant): This SBIR Phase I project will develop a novel mobile framework to measure left ventricular ejection fraction as a marker for systolic dysfunction using automated non-invasive analysis of cardiac signals. Heart disease is the leading cause of death for men and women accounting for more than one-third (33.6%) of all U.S. deaths. In 2010, total costs associated with cardiovascular disease in the U.S. were estimated to be $444 billion, making it the costliest health problem facing the nation. In addition, it occurs disproportionately among minority and health disparity populations. For example, heart failure related deaths are 37% higher among African-Americans than among whites. Decreased ejection fraction is a marker of left ventricular systolic dysfunction, the most common type of heart failure. Overall cardiac health can be significantly improved by proper triage at the primary care level by determination of the ejection fraction without requiring a 2-D echo-cardiogram. It will provide health care professionals with point-of-care technology to guide diagnostic, monitoring, and therapeutic efforts. Portable device capability makes it even more accessible and readily available without high costs. As the technology being developed does not require skilled operators or specially trained physicians, it will allow healthcare providers to measure ejection fraction within their normal medical training. We have developed a revolutionary new technology through a Department of Defense-Defense Advanced Research Projects Agency (DARPA) two- year Phase II effort that enables measurement of ejection fraction using the cardiac sound signals from each of the four heart valves measured at the chest wall. It is based on the technique of separating and localizing sounds, known as auditory scene analysis, to extract information from the cardiac sounds. The scope of the science proposed in this SBIR project is to develop a novel diagnostic framework using our specially engineered accelerometer and electrocardiogram transducer system combined with the novel algorithm technology to run on a smartphone or tablet for a portable and cost-effective solution. Resource-poor communities across the globe lack access to quality healthcare arising from shortages in medical expertise and poor availability of medical diagnostic devices. In recent years, mobile phones have become increasingly advanced and ubiquitous. The mobile framework developed through this project is a tremendous opportunity to provide low-cost diagnostics to under-served populations. The benefit of this pioneering work is the development of a low-cost and portable solution that can be used to diagnose systolic dysfunction, and thus enable improved screening during routine annual checkups, doctor visits, at community medical screenings, classes, and health fairs leading to healthier communities. It will make measuring ejection fraction will be as routine as measuring blood pressure. In Phase I, we will evaluate the clinical relevance through user-trials. Followed by clinical trials in the Mississippi delta region and the Florida region, buildin the required partnerships and joint collaborations to help create a commercially successful product.

描述（由申请人提供）：这个SBIR I期项目将开发一个新型的移动框架，以使用自动化的心脏信号的非侵入性分析来测量左心室射血分数作为收缩功能障碍的标记。心脏病是男女死亡的主要原因，占美国所有死亡人数中三分之一以上（33.6％）。 2010年，美国与心血管疾病相关的总成本估计为4440亿美元，使其成为该国面临的最昂贵的健康问题。另外，它发生不成比例 在少数民族和健康差异人群中。例如，非裔美国人的心力衰竭死亡比白人高37％。减少的射血分数是左心室收缩功能障碍的标记，这是最常见的心力衰竭类型。通过确定射血分数，可以通过在初级保健水平上适当的分类来显着改善心脏健康的总体健康，而无需2D回声电脑。它将为医疗保健专业人员提供服务点技术，以指导诊断，监测和治疗工作。便携式设备功能使其更容易访问，并且可以随时使用高昂的成本。由于所开发的技术不需要熟练的操作员或经过专门培训的医生，因此它将允许医疗保健提供者在正常的医疗培训中衡量射血分数。我们通过国防部防御部门高级研究项目局（DARPA）两年的工作开发了一项革命性的新技术，可以使用来自胸壁测得的四个心脏阀中每个心脏阀中每个心脏阀的心脏信号来测量射血分数。它基于分离和本地化声音的技术（称为听觉场景分析），以从心脏声音中提取信息。 SBIR项目中提出的科学范围是使用我们专门设计的加速度计和心电图传感器系统与新型算法技术结合使用新型算法技术，以在智能手机或平板电脑上运行，以提供便携式和成本效益的解决方案。全球资源贫乏的社区无法获得医疗专业知识短缺和医疗诊断设备可用性不佳的优质医疗保健。近年来，手机变得越来越先进和无处不在。通过该项目开发的移动框架是一个巨大的机会，可以为服务不足的人群提供低成本的诊断。这项开创性工作的好处是开发了一种低成本和便携式解决方案，该解决方案可用于诊断收缩功能障碍，从而在常规的年度检查，医生就诊，社区医疗筛查，课程和健康展览会上进行改进的筛查，导致更健康的社区。它将使测量射血分数作为常规 作为测量血压。在第一阶段，我们将通过用户审判评估临床相关性。随后在密西西比三角洲地区和佛罗里达地区进行临床试验，建立了所需的合作伙伴关系和联合合作，以帮助创建商业上成功的产品。