I-Corps: Cardiovascular Evaluation Algorithm

I-Corps：心血管评估算法

• 批准号: 2344006
• 负责人: Andrew Gow
• 金额: $ 5万
• 依托单位: RUTGERS, THE STATE UNIVERSITY OF NEW JERSEY
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-04-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2344006&HistoricalAwards=false
• 关键词: Corps; Cardiovascular; Evaluation; Algorithm

The broader impact/commercial potential of this I-Corps project is the development of a system for assessment of cardiovascular physiology so that training programs may be targeted at a level to maximize performance. There are both central and local physiological mechanisms that operate to regulate blood flow in working muscle tissue. Currently, there is no mechanism whereby the balance between central and local control can be assessed and optimized. To assess these mechanisms, both cardiac and vascular function must be measured. The proposed technology allows the combination of both sets of measures in an algorithm and testing procedure to assess cardiovascular functionality. With this information, training or treatment plans may be optimized to address the underlying limitations in achieving maximum performance. This I-Corps project is based on the development of an algorithm to assess cardiovascular function by calculating the determinants of working tissue flow during exercise. Critical to this algorithm is the measurement of both central (neurological) and local (metabolic) control of blood flow. This is achieved by measuring pulse arterial responses to restrictions in blood flow, using a blood pressure cuff, and to stimulation through exercise. The proposed method assesses local dilation, autonomic constriction, and total cardiac function. These measurements may be used to determine how well both the heart and the blood vessels are performing. Exercise increases the output of the heart but the blood vessels in the working muscles need to relax to allow more blood to flow. If an athlete trains to increase heart output but does not increase the ability to relax blood vessels, then they will not optimize working tissue flow and hence performance. Using the proposed algorithm, it may be possible to tell the athlete where they are limited and how to train to improve that limitation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该I-Corps项目的更广泛的影响/商业潜力是开发用于评估心血管生理学的系统，以便培训计划可以针对以最大程度地提高性能的水平。 有一些中央和局部生理机制可以调节工作肌肉组织中的血液流动。 当前，没有机制可以评估和优化中央控制和局部控制之间的平衡。 为了评估这些机制，必须测量心脏和血管功能。 所提出的技术允许在算法和测试程序中结合两组度量，以评估心血管功能。有了这些信息，可以优化培训或治疗计划，以解决实现最高绩效的根本限制。该I-Corps项目基于算法的开发，通过计算运动过程中工作组织流的决定因素来评估心血管功能。 对该算法至关重要的是对血流的中枢（神经系统）和局部（代谢）控制的测量。 这是通过使用血压袖带和通过运动刺激血液流动限制的脉搏动脉反应来实现的。 提出的方法评估了局部扩张，自主神经收缩和总心脏功能。 这些测量值可用于确定心脏和血管的表现情况。 运动增加了心脏的输出，但是工作肌肉中的血管需要放松以使更多的血液流动。 如果运动员训练增加心脏输出，但不会增加放松血管的能力，那么他们将不会优化工作组织流动并因此表现。 使用拟议的算法，有可能告诉运动员在哪里有限，以及如何训练改善该限制。该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子和更广泛影响的评估审查标准来通过评估来支持的。