I-Corps: Artificial Intelligence-based mobile application to mitigate health risks of firefighters

I-Corps：基于人工智能的移动应用程序，可减轻消防员的健康风险

• 批准号: 2332212
• 负责人: Prabodh Panindre
• 金额: $ 5万
• 依托单位: New York University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2332212&HistoricalAwards=false
• 关键词: Corps; Artificial; Intelligence; based; mobile

The broader impact/commercial potential of this I-Corps project is the development of an Artificial Intelligence (AI)-based mobile application to reduce firefighter deaths. Firefighters are fourteen times more likely to suffer a sudden cardiac event (SCE) in response to an alarm, and 136 times more likely to suffer a fatal SCE after firefighting than nonemergency duties. The proposed technology is designed to monitor the physiological data of firefighters using commercially available personal wireless wearable health trackers, evaluate cardiovascular risk factors, and alert the firefighter about impending risks. The goal for this proposed technology is to reduce firefighter mortalities and morbidities associated with cardiovascular disease. Approximately 92% of out-of-hospital cardiac arrests result in death suggesting that many people do not recognize the symptoms, and don’t act on early warning signs. Early identification of cardiovascular health risks (e.g., hypertension, arrhythmia, sleep apnea) that increase the possibility of SCE, continuous monitoring of disease progression, and addressing risks in a timely manner may increase the chances of preventing or surviving a SCE. The health trackers are low-cost, and can continuously track physiological data (heart rate, sleep behavior) and physical activity (step count, travel distance, floors climbed), and may be used to upload this data wirelessly to the cloud via a mobile device. Long-term benefits may include a decrease in cardiac incidence that may lead to lower healthcare costs and improve the safety of firefighters. In addition, the proposed technology may be used by the general population, which may have a broad health benefit to society.This I-Corps project is based on the development of a mobile software application for the fire service to reduce firefighter deaths due to sudden cardiac events (SCE). The proposed technology utilizes commercially available health tracker technology integrated with Artificial Intelligence (AI) models that have been trained and developed using firefighters’ health data and customized using relevant clinical studies from the fire service. The proposed software is built with react-native cross-platform (iOS/Android) and is integrated with deep learning models to remotely diagnose arrhythmia, hypertension, atrial fibrillation, and sleep apnea, which are prevalent cardiovascular risk factors in fire service data leading to sudden cardiac events – a leading cause (50-60%) of firefighter morbidity and on-duty deaths. The proposed Internet of Things system captures the physiological data from wearable health trackers and feeds it to cloud-based AI models for real-time remote diagnosis. Based on custom risk thresholds, the user may then be notified when a health risk is detected by the AI models. In addition, wide-spread prolonged usage of the proposed software application also may provide a database of firefighters’ physiological data that may then be used to further refine the technology, lead to new understandings of physiological, and potentially pathological, responses to firefighting, and stimulate new data-driven clinical research.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 项目的更广泛影响/商业潜力是开发基于人工智能 (AI) 的移动应用程序，以减少消防员因突发心脏病而死亡的可能性增加 14 倍。火灾发生后发生致命性 SCE 的可能性比非紧急任务高出 136 倍。该技术旨在使用商用个人无线可穿戴健康追踪器监测消防员的生理数据，评估心血管风险因素，以及提醒消防员即将发生的风险。这项技术的目标是减少与心血管疾病相关的消防员死亡率和发病率。大约 92% 的院外心脏骤停导致死亡，这表明许多人没有意识到这些症状。不要根据早期预警信号采取行动。及早识别增加 SCE 可能性的心血管健康风险（例如高血压、心律失常、睡眠呼吸暂停）、持续监测疾病进展并解决问题。及时发现风险可能会增加预防 SCE 或幸存的机会。健康追踪器成本低廉，可以持续跟踪生理数据（心率、睡眠行为）和身体活动（步数、行进距离、攀爬楼层）。 ，并可用于通过移动设备将这些数据无线上传到云端，长期好处可能包括降低心脏病发病率，从而降低医疗成本并提高消防员的安全。可供普通人群使用，可能具有广泛的健康益处该 I-Corps 项目基于开发用于消防部门的移动软件应用程序，以减少消防员因突发心脏事件 (SCE) 造成的死亡。所提出的技术利用了与人工智能 (AI) 集成的商用健康追踪器技术。 ）模型已使用消防员的健康数据进行训练和开发，并使用消防部门的相关临床研究进行定制。拟议的软件是使用反应本机跨平台（iOS / Android）构建的，并与深度学习模型集成以进行远程。诊断心律失常、高血压、心房颤动和睡眠呼吸暂停，这些是消防数据中常见的心血管危险因素，会导致突发心脏事件，这是消防员发病和执勤死亡的主要原因 (50-60%)。系统从可穿戴健康追踪器捕获生理数据，并将其输入基于云的人工智能模型进行实时远程诊断，然后根据自定义风险阈值，在检测到健康风险时通知用户。此外，广泛长期使用所提出的软件应用程序还可以提供消防员生理数据的数据库，然后可以使用该数据库进一步完善技术，从而对生理反应和潜在的病理反应产生新的理解。该奖项反映了 NSF 的法定使命，并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，被认为值得支持。