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.

这个I-Corps项目的更广泛的影响/商业潜力是开发一种用于评估心血管生理学的系统，以便培训计划可以针对最大化性能的水平。 有中枢和局部的生理机制来调节工作肌肉组织中的血流。 目前，没有一种机制可以用来评估和优化中央和地方控制之间的平衡。 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组合两组测量以评估心血管功能。利用这些信息，可以优化训练或治疗计划，以解决实现最大性能的潜在限制。这个I-Corps项目是基于一种算法的开发，通过计算运动期间工作组织流量的决定因素来评估心血管功能。 该算法的关键是测量血流的中枢（神经）和局部（代谢）控制。 这是通过测量脉搏动脉对血流限制的反应，使用血压袖带，并通过运动刺激。 所提出的方法评估局部扩张，自主收缩，和总的心脏功能。 这些测量可以用于确定心脏和血管的表现如何。 运动可以增加心脏的输出量，但工作肌肉中的血管需要放松，以允许更多的血液流动。 如果一个运动员训练增加心脏输出量，但不增加放松血管的能力，那么他们将不会优化工作组织流动，从而表现。 使用所提出的算法，它可能会告诉运动员，他们是有限的，以及如何训练，以改善这种限制。这个奖项反映了NSF的法定使命，并已被认为是值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估的支持。