I-Corps: Integrated Wearable System for Management of Substance Use Disorder
I-Corps:用于管理药物使用障碍的集成可穿戴系统
基本信息
- 批准号:2401028
- 负责人:
- 金额:$ 5万
- 依托单位:
- 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:2024-02-01 至 2025-01-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
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.
该 I-Corps 项目更广泛的影响/商业潜力是开发一种神经技术,可以改善患有药物滥用障碍 (SUD) 和其他精神疾病(例如创伤后应激障碍和重度抑郁症)的患者的生活质量。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,并提供对心理健康的持续监测。该技术旨在帮助 SUD 患者以个人方式管理其心理健康,同时通过提供神经生理学和心理物理学数据来协助远程预测和远程诊断,从而帮助临床医生。此类设备可在家庭和医疗中心使用,并且作为数字健康的可穿戴设备,可以向临床医生提供实时、真实条件下的 SUD 管理和最佳治疗方案。该 I-Corps 项目基于集成便携式神经技术的开发,该技术能够使用可穿戴生物传感器(包括皮肤电活动 (EDA) 和脑电图 (EEG) 传感器)管理物质使用障碍 (SUD)。该系统检测并调节压力,这是药物滥用的关键触发因素。该系统将由四个主要部分组成:(1)基于 SUD 中压力的负面影响,使用 EEG 和 EDA 传感器记录压力和情绪状态的检测; (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) 使用脑电图传感器来测量、管理和修改大脑活动以及相关行为的神经反馈; (4) 智能手机应用程序,可以提供用户友好且个性化的图形用户界面,以提供神经反馈。拟议的技术可以以直接和个性化的方式帮助患有 SUD 的个人。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。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Ramana Vinjamuri其他文献
Novel Hand Gesture Classification based on Empirical Fourier Decomposition of sEMG Signals*
基于 sEMG 信号经验傅立叶分解的新颖手势分类*
- DOI:
- 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
S. Kadiyala;Ke Chen;Ziyang Guo;P. Olikkal;Andrew Catlin;Ashwin Satyanarayana;Ramana Vinjamuri - 通讯作者:
Ramana Vinjamuri
Ramana Vinjamuri的其他文献
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{{ truncateString('Ramana Vinjamuri', 18)}}的其他基金
IUCRC Phase II UMBC: Building Reliable Advances and Innovation in Neurotechnology (BRAIN)
IUCRC 第二期 UMBC:在神经技术 (BRAIN) 领域建立可靠的进步和创新
- 批准号:
2333292 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
CAREER: Synergy-based Human Machine Interfaces
职业:基于协同的人机界面
- 批准号:
2053498 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
Planning IUCRC Stevens Institute of Technology: Center for Building Reliable Advances and Innovation in Neurotechnology (BRAIN)
规划 IUCCRC 史蒂文斯理工学院:神经技术可靠进步与创新中心 (BRAIN)
- 批准号:
2042203 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Planning IUCRC Stevens Institute of Technology: Center for Building Reliable Advances and Innovation in Neurotechnology (BRAIN)
规划 IUCCRC 史蒂文斯理工学院:神经技术可靠进步与创新中心 (BRAIN)
- 批准号:
1939121 - 财政年份:2020
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
CAREER: Synergy-based Human Machine Interfaces
职业:基于协同的人机界面
- 批准号:
1845197 - 财政年份:2019
- 资助金额:
$ 5万 - 项目类别:
Continuing Grant
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