I-Corps: Real-time anxiety detection and modulation using wearables

I-Corps:使用可穿戴设备进行实时焦虑检测和调节

基本信息

项目摘要

The broader impact/commercial potential of this I-Corps project is the development of technology that provides objective data to patients and caregivers before and after clinical psychological consults to provide improved adherence and to improve the informal support infrastructure for new referrals to a clinical psychologist. Mental health disorders are prevalent in the United States, with nearly one in four adults living with a mental illness. Mental health disorders account for a large proportion of the disease burden in younger populations across the world. While mental health disorders are often diagnosed in adulthood, these diseases often stem from disorders arising as a childhood, adolescence, or young adulthood. Social and health disparities have a widespread impact on developmental periods and have been associated with an increase in mental health conditions in racial minorities. Furthermore, with increased social isolation, increased depression, anxiety, insomnia, and stress become more prevalent, particularly in females. For young adults, in college or professional programs, the need to balance life and work already present significant challenges for emotional wellbeing, let alone when faced with a pandemic.This I-Corps project is based on the development of a technology that integrates personalized, wearable devices and machine learning/artificial intelligence frameworks to establish a personalized evaluation and intervention targeting mental health changes in stressful environments. Wearable sensors enable continuous measurement and evaluation of potential behavioral markers of disease progression, physiological health, and wellness in adults across their lifespan. Given the shortage of mental health professionals, limited access to quality mental health services, and the stigma associated with mental disorders, the need for improved tele-monitoring of changes in health and wellness is paramount. Wearable sensors of physiological or psychological function have been integrated into accessories, clothing, body attachments, and implantable devices. However, fitness trackers and smartwatches experience abandonment rates of ~30%, which highlights the need to develop technologies that are user‐centered and respond to users’ functional and emotional needs to ensure adoption and continued use.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/商业潜力是开发技术,在临床心理咨询前后向患者和护理人员提供客观数据,以提高依从性并改善新转诊到临床心理学家的非正式支持基础设施。精神健康障碍在美国很普遍,近四分之一的成年人患有精神疾病。精神健康障碍在全世界年轻人的疾病负担中占很大比例。虽然精神健康障碍通常在成年后被诊断出来,但这些疾病通常源于童年、青春期或成年初期出现的疾病。社会和健康差异对发育时期产生广泛影响,并与少数族裔心理健康状况的恶化有关。此外,随着社会孤立的加剧,抑郁、焦虑、失眠和压力变得更加普遍,尤其是在女性中。对于在大学或专业课程中的年轻人来说,平衡生活和工作的需要已经对情绪健康提出了重大挑战,更不用说在面临大流行时了。这个I-Corps项目基于开发一种技术,该技术集成了个性化可穿戴设备和机器学习/人工智能框架,以针对压力环境中的心理健康变化建立个性化评估和干预。可穿戴传感器能够连续测量和评估成年人一生中疾病进展、生理健康和健康的潜在行为标志。鉴于精神卫生专业人员的短缺、获得优质精神卫生服务的机会有限以及与精神障碍相关的耻辱,改进对健康和保健变化的远程监测的需求至关重要。生理或心理功能的可穿戴传感器已集成到配件、衣服、身体附件和植入设备中。然而,健身追踪器和智能手表的废弃率约为 30%,这凸显了开发以用户为中心并响应用户功能和情感需求的技术的必要性,以确保采用和持续使用。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

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Richard Sowers其他文献

Using Virtual Reality High Fall-Risk Condition Training to Improve Postural Control Accuracy and Speed
  • DOI:
    10.1016/j.apmr.2019.08.432
  • 发表时间:
    2019-10-01
  • 期刊:
  • 影响因子:
  • 作者:
    Rongyi Sun;Rachneet Kaur;Richard Sowers;Manuel Hernandez
  • 通讯作者:
    Manuel Hernandez

Richard Sowers的其他文献

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{{ truncateString('Richard Sowers', 18)}}的其他基金

I-Corps: Data Analytics for Hand-Picked Agriculture
I-Corps:精心挑选的农业数据分析
  • 批准号:
    1748498
  • 财政年份:
    2017
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Signatures and Barcodes: Data-driven Understanding of Transportation System Performance during Extreme Events
签名和条形码:数据驱动的对极端事件期间运输系统性能的理解
  • 批准号:
    1727785
  • 财政年份:
    2017
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
BECS: Rare Systematic Risk in Markets: Modelling, Theory and Computation
BECS:市场中罕见的系统性风险:建模、理论和计算
  • 批准号:
    1024837
  • 财政年份:
    2010
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
AMC-SS, Collaborative Research: Explorations in Stochastic Moving Boundary Value Problems
AMC-SS,协作研究:随机移动边值问题的探索
  • 批准号:
    0705260
  • 财政年份:
    2007
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
32nd Conference on Stochastic Processes and their Applications
第32届随机过程及其应用会议
  • 批准号:
    0703239
  • 财政年份:
    2007
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
AMC-SS: Noise-Induced Transitions in Multiscale Systems
AMC-SS:多尺度系统中噪声引起的转变
  • 批准号:
    0604249
  • 财政年份:
    2006
  • 资助金额:
    $ 5万
  • 项目类别:
    Continuing Grant
Random Perturbations of Complex Dynamical Systems
复杂动力系统的随机扰动
  • 批准号:
    0305925
  • 财政年份:
    2003
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Stochastic Averaging: Geometry and Stratified Spaces
随机平均:几何和分层空间
  • 批准号:
    0071484
  • 财政年份:
    2000
  • 资助金额:
    $ 5万
  • 项目类别:
    Standard Grant
Mathematical Sciences:Postdoctoral Research Fellowship
数学科学:博士后研究奖学金
  • 批准号:
    9305975
  • 财政年份:
    1993
  • 资助金额:
    $ 5万
  • 项目类别:
    Fellowship Award

相似国自然基金

Immuno-Real Time PCR法精确定量血清MG7抗原及在早期胃癌预警中的价值
  • 批准号:
    30600737
  • 批准年份:
    2006
  • 资助金额:
    22.0 万元
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无色ReAl3(BO3)4(Re=Y,Lu)系列晶体紫外倍频性能与器件研究
  • 批准号:
    60608018
  • 批准年份:
    2006
  • 资助金额:
    28.0 万元
  • 项目类别:
    青年科学基金项目

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