I-Corps: Mobile Phone Based Vital Sign Detection

I-Corps：基于手机的生命体征检测

• 批准号: 2138673
• 负责人: Ryan McGinnis
• 金额: $ 5万
• 依托单位: University of Vermont & State Agricultural College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-07-15 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2138673&HistoricalAwards=false
• 关键词: Corps; Mobile; Phone; Based; Vital

The broader impact/commercial potential of this I-Corps project involves the development of an accessible, evidence-based, biofeedback intervention to allow individuals suffering with mental health disorders to have immediate access to effective treatment. A first use case is for the approximately 11% of Americans who experience reoccurring panic attacks, which has significant societal cost such that these individuals are more likely to visit emergency rooms, miss work, and experience subsequent comorbidity. This segment of the population currently has limited access to evidence-based treatment due to long therapy waitlists and often ineffective offerings. The proposed digital therapeutic technology aims to answer this unmet need by providing immediate, inexpensive, evidence-based intervention available on a smartphone. Advances made with this technology could be expanded to also inform biofeedback intervention for other mental health problems including general anxiety, post-traumatic stress disorder, substance abuse disorders, and even chronic pain.This I-Corps project develops new approaches for characterizing physiological states from mobile phone videoes and delivering personalized therapies where and when they are most needed. The novel computational algorithms leverage machine learning to enable accurate estimations of physiological signals that are robust to imperfect data quality inherent in measurements made during daily life. The technology may also be feasible for use during episodes of high emotional reactivity. This project builds on innovations in the clinical measurement and intervention by integrating algorithms into a mobile application, using it to collect datasets of real-world suffering and to inform personalized interventions. The feasibility of the tool has been demonstrated as a digital therapeutic for panic attacks. This project will explore the commercialization potential of this approach.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项目更广泛的影响/商业潜力涉及开发一种可获得的、以证据为基础的生物反馈干预措施，使患有精神健康障碍的个人能够立即获得有效的治疗。第一个用例是大约11%的美国人经历了反复发作的恐慌发作，这具有显著的社会成本，使得这些人更有可能去急诊室，错过工作，并经历随后的并发症。这部分人口目前由于长期的治疗等待名单和往往无效的产品而获得循证治疗的机会有限。拟议的数字治疗技术旨在通过在智能手机上提供即时、廉价、循证的干预来满足这一未满足的需求。这项技术的进步可以扩展到其他心理健康问题的生物反馈干预，包括一般性焦虑，创伤后应激障碍，药物滥用障碍，甚至慢性疼痛。这个I-Corps项目开发了新的方法，用于从移动的手机视频中表征生理状态，并在最需要的地方和时间提供个性化治疗。新的计算算法利用机器学习来实现对生理信号的准确估计，这些生理信号对日常生活中进行的测量中固有的不完美数据质量具有鲁棒性。 该技术也可能适用于情绪反应强烈的情况。 该项目建立在临床测量和干预创新的基础上，将算法集成到移动的应用程序中，使用它来收集真实世界痛苦的数据集，并为个性化干预提供信息。该工具的可行性已被证明是恐慌症的数字治疗方法。 该项目将探索这种方法的商业化潜力。该奖项反映了NSF的法定使命，并且通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。