I-Corps: Integrated Wearable System for Management of Substance Use Disorder

I-Corps项目更广泛的影响/商业潜力是开发一种神经技术，可以改善患有物质使用障碍(SUD)和其他精神疾病(如创伤后应激障碍和严重抑郁症)的个人的生活质量。这种神经技术系统可以帮助个人管理多种精神疾病，以及疾病的严重程度，并提供持续的精神健康监测。该技术旨在帮助SUD患者以个人方式管理自己的心理健康，同时通过提供神经生理和心理物理数据来帮助临床医生进行远程预测和远程诊断。这类设备可以在家里和医疗中心使用，作为数字健康的可穿戴设备，可以在实时、真实的条件下向临床医生告知SUD的管理和最佳治疗选项。这个i-Corps项目是基于一种集成的便携式神经技术的开发，该技术能够使用可穿戴的生物传感器来管理物质使用障碍(SUD)，包括皮肤电活动(EDA)和脑电(EEG)传感器。该系统检测和调节压力，这是物质滥用的关键触发因素。这个系统将由四个主要组件组成：(1)基于已有充分记录的SUD压力负面影响，使用EEG和EDA传感器检测压力和情绪状态；(2)机器学习(ML)和人工智能(AI)算法，用于改进压力、情绪和行为的检测；(3)使用EEG传感器测量、管理和修改大脑活动以及相关行为的神经反馈；以及(4)智能手机应用程序，可以提供用户友好和个性化的图形用户界面，用于提供神经反馈。这项拟议的技术可以立即以个人的方式帮助患有SUD的个人。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势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 I-Corps project is the development of a neurotechnology that could improve the quality of life for individuals with substance use disorder (SUD) and other mental illnesses (e.g. post-traumatic stress disorder and major depression). This neurotechnology system could help individuals manage multiple mental illnesses, as well as the severity of the illness and provide continuous monitoring of mental health. The technology aims to help individuals with SUD manage their mental health in a personal manner, and simultaneously help clinicians by providing neurophysiological and psychophysical data to assist tele-prognosis and telediagnosis. Such devices can be used in-home and in medical centers, and as a wearable device for digital health, could inform clinicians about the management of SUD and optimal treatment options in real-time, real-world conditions. This I-Corps project is based on the development of an integrated portable neurotechnology that is capable of management of substance use disorder (SUD) using wearable biosensors, including electrodermal activity (EDA) and electroencephalography (EEG) sensors. The system detects and modulates stress, a key trigger in substance abuse. This system will have four major components: (1) based on well documented negative effects of stress in SUD, detection of stress and emotional states recorded using EEG and EDA sensors; (2) machine-learning (ML) and artificial intelligence (AI) algorithms for improving the detection of stress, emotion and behavior; (3) neurofeedback using EEG sensors to measure, manage and modify brain activity and thus, associated behavior; and (4) a smartphone app that can provide a user-friendly and personalized graphical user interface for providing neurofeedback. The proposed technology could help individuals with SUD in an immediate and personal manner.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.