SBIR Phase I: Biometric Wearable Device for Real-Time Mental Health Intervention of Anxiety

这个小企业创新研究（SBIR）第一阶段项目的更广泛的影响/商业潜力是利用人工智能进行心理健康干预，最初应用于大学生。 超过60%的美国大学生遭受压力和焦虑，这些压力和焦虑可以表现为身体症状，如心悸，胸压，胃痛，肌肉紧张，腹泻/便秘和疲劳。压力和焦虑的显著负面影响会影响学习、发展和社会参与，最终可能导致吸毒和酗酒等破坏性行为。该项目提出了一种智能化、个性化的数字健康技术，该技术集成了生物识别技术，用于自动化、早期检测日益紧张的状态，作为一种具有成本效益的方式，为干预措施提供信息，并提高大学保留率。该应用程序可以扩展到其他人群，以改善心理健康结果。这个小企业创新研究（SBIR）第一阶段项目通过整合可穿戴生物识别传感器，人工智能（AI）和用户界面来指导自动化和交互式心理治疗干预，从而改善心理健康。可穿戴腕带设备将被动地捕获生物信号，以检测焦虑信号，从而为自动分析提供信息。 然后，该应用程序可以根据事件的大小提供不同级别的警报和干预。该奖项反映了NSF的法定使命，并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。

The broader impact/commercial potential of this Small Business Innovation Research (SBIR) Phase I project is to utilize artificial intelligence for mental health interventions, with an initial application of college students. Over 60% of U.S. college students suffer stress and anxiety that can manifest in physical symptoms such as palpitations, chest pressure, stomach aches, muscular tension, diarrhea/constipation, and fatigue. The significant negative impact of stress and anxiety affects learning, development, and social engagement, and ultimately can contribute to destructive behaviors such as drug and alcohol use. This project proposes an intelligent, personalized digital health technology that integrates biometrics for automated, early detection of increasingly stressed states as a cost-effective way to inform interventions and improve college retention. This application can be expanded to other populations for improved mental health outcomes. This Small Business Innovation Research (SBIR) Phase I project improves mental health through integration of wearable biometric sensors, artificial intelligence (AI), and a user interface to guide both automated and interactive psychotherapy interventions. A wearable wrist band device will passively capture biosignals to detect signals of anxiety to inform an automated analysis. The app can then provide varying levels of alerts and intervention as appropriate for the magnitude of the event. This can be used for mental health monitoring broadly.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.