Multimodal Guidance towards Precision Rehabilitation to Improve Upper Extremity Function in Stroke Patients

多模式精准康复指导改善中风患者上肢功能

基本信息

  • 批准号:
    10586179
  • 负责人:
  • 金额:
    --
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2022
  • 资助国家:
    美国
  • 起止时间:
    2022-12-01 至 2024-11-30
  • 项目状态:
    已结题

项目摘要

The lifetime risk of stroke is 1 in 6 with an estimated 33 million stroke survivors worldwide. Ideally acute stroke patients would receive an accurate and rapid prognosis regarding return of motor function, followed by application of those therapies most able to improve it. Yet decisions regarding post-acute treatment of stroke patients are made on short-term assessments of function that may be influenced by concurrent treatment, time-of-day, motivation, and other factors. Those assessments are often delayed, with resultant delays in rehabilitation treatments. There are important decisions that need to be made about the setting where rehabilitation occurs, if it is needed, and where the stroke patient will best live in the long-term. This research project aims to significantly add to the current understanding of biomarkers that can be used to provide better diagnosis, rehabilitative treatment, and long-term disposition advice for veterans who experience upper-extremity impairments from stroke. The gaps in knowledge we aim to address are the unknown relationships between 1. immediate post-stroke movement and functional ability, and 2. between sympathetic tone and psychological response to disability. Clinicians do not yet know how to use the data from wearable technologies that measure these factors – a problem caused by the volume of data generated and lack of reliable biomarkers derived from it. Our central hypothesis is that application of machine learning techniques to data from a multimodal sensor array worn by a patient for multiple hours can provide better evidence of motor ability, assess latent psychological factors, and predict recovery trajectory better than conventional short-term assessments. It may also allow more rapid personalization of therapy plans based on real-world deficits discovered through sensor-based data. We will test our central hypothesis by pursuing the two following specific aims with associated working hypotheses: 1. Collect functionally relevant data from a wearable inertial, electromyographic, and electrodermal sensor array. Working Hypothesis: A few strategically placed sensors can capture functional movement and state of the autonomic nervous system. Kinematic and physiological measures taken during task performance will be correlated with motor impairment and functional status. Completion of this aim will lead to the identification of functional variables derived from multimodal sensor measurements and demonstrate the feasibility of, and challenges to, inpatient use of a sensor array. 2. Predict key clinical outcomes from sensor array-derived variables in acute stroke inpatients being evaluated for post-discharge therapies. Working Hypothesis: Machine learning techniques, including Bayesian fusion, will predict deficits and discharge disposition from the multimodal variables collected. The electrodermal response to challenging movement is an unexplored area that may provide insight into motivation and affective response to impairment. The trajectory of recovery may be captured during a two-day sampling period. Overall low activation of the affected arm and lack of affective responses to challenging movement will be related to poorer recovery and discharge disposition. The modalities that will be measured by wearable sensors in this study are: acceleration, surface muscle electrical activity, and galvanic skin responses. We will acquire data using a suite of sensors from a single manufacturer, aiding the synchronization and convenience of collecting a time-series of data during daily life in the hospital, as well as during motor tasks and assessments. Biomarkers will be extracted using the Bayesian fusion algorithm, and outcomes will be both motor function and discharge disposition. At the conclusion of this project we will have demonstrated that the proposed sensor array can provide meaningful data regarding movement ability, affective response to motor challenges, and will have explored the relationship between that data and discharge disposition.
中风的终生风险为六分之一,全世界估计有3300万中风幸存者。理想的急性

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

GEORGE F. WITTENBERG其他文献

GEORGE F. WITTENBERG的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('GEORGE F. WITTENBERG', 18)}}的其他基金

Brain areas that control reaching movements after stroke: Task-relevant connectivity and movement-synchronized brain stimulation
中风后控制伸手运动的大脑区域:任务相关连接和运动同步大脑刺激
  • 批准号:
    10316643
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Brain areas that control reaching movements after stroke: Task-relevant connectivity and movement-synchronized brain stimulation
中风后控制伸手运动的大脑区域:任务相关连接和运动同步大脑刺激
  • 批准号:
    10516065
  • 财政年份:
    2021
  • 资助金额:
    --
  • 项目类别:
Neurophysiological and Kinematic Predictors of Response in Chronic Stroke
慢性中风反应的神经生理学和运动学预测因子
  • 批准号:
    10086003
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
Neurophysiological and Kinematic Predictors of Response in Chronic Stroke
慢性中风反应的神经生理学和运动学预测因子
  • 批准号:
    9397976
  • 财政年份:
    2015
  • 资助金额:
    --
  • 项目类别:
Brain Neurophysiological Biomarkers of Functional Recovery in Stroke
中风功能恢复的脑神经生理学生物标志物
  • 批准号:
    8635003
  • 财政年份:
    2014
  • 资助金额:
    --
  • 项目类别:
Driving Cortical Plasticity for Rehabilitation of Reaching After Stroke.
驱动皮质可塑性以实现中风后的康复。
  • 批准号:
    8108653
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
Driving Cortical Plasticity for Rehabilitation of Reaching After Stroke.
驱动皮质可塑性以实现中风后的康复。
  • 批准号:
    8460511
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
Driving Cortical Plasticity for Rehabilitation of Reaching After Stroke.
驱动皮质可塑性以实现中风后的康复。
  • 批准号:
    8286186
  • 财政年份:
    2011
  • 资助金额:
    --
  • 项目类别:
Motor-Functional Neuroanatomy in Cerebral Palsy
脑瘫的运动功能神经解剖学
  • 批准号:
    7140405
  • 财政年份:
    2005
  • 资助金额:
    --
  • 项目类别:
Motor-Functional Neuroanatomy in Cerebral Palsy
脑瘫的运动功能神经解剖学
  • 批准号:
    7284984
  • 财政年份:
    2005
  • 资助金额:
    --
  • 项目类别:

相似海外基金

Determining 4-Dimensional Foot Loading Profiles of Healthy Adults across Activities of Daily Living
确定健康成年人日常生活活动的 4 维足部负荷曲线
  • 批准号:
    2473795
  • 财政年份:
    2024
  • 资助金额:
    --
  • 项目类别:
    Studentship
Developing a trunk function assessment for hemiplegics. -For improving activities of daily living-
开发偏瘫患者的躯干功能评估。
  • 批准号:
    23K10540
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Relation with the activities of daily living and the subjective values among people with social withdrawal
社交退缩者日常生活活动与主观价值观的关系
  • 批准号:
    23K16596
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
CRII: RI: Understanding Activities of Daily Living in Indoor Scenarios
CRII:RI:了解室内场景中的日常生活活动
  • 批准号:
    2245652
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Standard Grant
Sources of vulnerability among those using homecare despite having no limitations in Activities of Daily Living. An intersectionality analysis
尽管日常生活活动没有限制,但使用家庭护理的人的脆弱性来源。
  • 批准号:
    499112
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Operating Grants
Association between Nursing Care and Prognosis and Activities of Daily Living in Acute Stroke patients by using Big Data.
利用大数据研究急性脑卒中患者的护理与预后和日常生活活动的关系。
  • 批准号:
    23K16412
  • 财政年份:
    2023
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Effects of a model of nurses-occupational therapists collaborative practice on activities of daily living in elderly patients
护士-职业治疗师合作实践模式对老年患者日常生活活动的影响
  • 批准号:
    22K17540
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
    Grant-in-Aid for Early-Career Scientists
Synergizing home health rehabilitation therapy to optimize patients’ activities of daily living
协同家庭健康康复治疗,优化患者的日常生活活动
  • 批准号:
    10429480
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
Assessing a Novel Virtual Environment that Primes Individuals Living with AD/ADRD to Accomplish Activities of Daily Living.
评估一种新颖的虚拟环境,该环境可以帮助 AD/ADRD 患者完成日常生活活动。
  • 批准号:
    10668160
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
Synergizing home health rehabilitation therapy to optimize patients’ activities of daily living
协同家庭健康康复治疗,优化患者的日常生活活动
  • 批准号:
    10621820
  • 财政年份:
    2022
  • 资助金额:
    --
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了