Physical Activity Calibration in Individuals with Movement Limitations

运动受限个体的体力活动校准

• 批准号: 8749880
• 负责人: SCOTT J STRATH
• 金额: $ 20.44万
• 依托单位: UNIVERSITY OF WISCONSIN MILWAUKEE
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-07-15 至 2016-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8749880
• 关键词: Acceleration; Activities of Daily Living; Address; Adult; Affect; Algorithms; Ankle; Arthritis; Attention; Behavior; Bilateral; Calibration; Categories; Clinical assessments; Cluster Analysis; Communities; Complex; Data; Data Collection; Decision Trees; Development; Disabled Persons; Disease; Dose; Effectiveness; Evaluation; Evolution; Foundations; Goals; Health; Hip region structure; Impairment; Individual; Intervention; Knowledge; Laboratories; Learning; Life; Limb structure; Linear Regressions; Lower Extremity; Machine Learning; Measures; Medical Care Costs; Metabolic; Methods; Metric; Modeling; Monitor; Morbidity - disease rate; Motion; Motor; Movement; Movement Disorders; Multiple Sclerosis; Parkinson Disease; Patients; Pattern; Persons; Physical activity; Population; Population Heterogeneity; Prevalence; Process; Protocols documentation; Publications; Qualifying; Quality of life; Research; Stroke; Techniques; Testing; Time; Translating; Upper Extremity; Work; Wrist; age related; base; cost; disability; disabling disease; improved; innovation; knowledge base; named group; prevent; public health relevance; response; sensor

DESCRIPTION (provided by applicant): One in five adults in the U.S. are thought to be living with a disability, a complex and multifaceted condition affecting physical movement patterns. Medical care costs related to disability in the US exceed $300 billion annually. Regular physical activity (PA) represents an important modifiable behavior to improve the overall health of these disabled groups and to realize their movement potential. Substantial progress has been made in developing and testing wearable monitor calibrations to predict physical activity (PA) level and type. However, little scientific attention has been given to develop methods to assess PA in disabled populations. The aims of this application focus on filling this scientific knowledge gap. Specific Aim 1) To measure impairment and function to provide a movement disorder analysis of: a) no movement limitation; b) upper extremity limitation; c) lower extremity limitation, or d) both upper and lower extremity limitation. Specific Aim 2) To measure bilateral wrist, hip, and ankle acceleration to conditionally model metabolic cost and activity type estimates. Our highly qualified research team will address the above aims by first carrying out a multitude of advanced upper and lower body strength, coordination, and functional motor tasks to isolate key impairment and function limitations across a diverse population with movement pattern differences. Then using an unsupervised learning and cluster analysis approach we will use these data to evaluate a fast, convenient, and simple metric to categorize functional movement pattern differences. We will assess criterion energy cost and multiple hip and limb acceleration during an extensive battery of activities of daily living, to guide the development of single or combined wearable motion sensor algorithms across categories of functional movement groups using advanced analytical techniques. The results of these proposed studies will for the first time provide an innovative and translatable approach to both categorize and assess PA in persons with movement limitations. This will present the foundation to evaluate a decision-tree approach to guide both monitor placement and algorithm choice to assess PA in diverse populations. Ultimately, our work will provide the potential to precisely and accurately assess PA prevalence rates, effectiveness of behavior-based PA interventions, and PA dose-response relationships to prevent and manage disabling conditions.

描述（由申请人提供）：美国五分之一的成年人被认为患有残疾，这是一种影响身体运动模式的复杂和多方面的疾病。在美国，与残疾有关的医疗费用每年超过3000亿美元。有规律的身体活动（PA）是改善这些残疾群体的整体健康状况和实现其运动潜力的重要可改变行为。在开发和测试可穿戴监测器校准以预测身体活动（PA）水平和类型方面取得了实质性进展。然而，很少有科学的注意力已经制定方法来评估残疾人群的PA。本申请的目的是填补这一科学知识空白。具体目的1）测量损伤和功能，以提供以下运动障碍分析：a）无运动受限; B）上肢受限; c）下肢受限，或d）上肢和下肢受限。具体目标2）测量双侧腕部、髋部和踝部加速度，以有条件地对代谢成本和活动类型估计进行建模。我们高素质的研究团队将通过首先进行大量先进的上半身和下半身力量，协调和功能运动任务来解决上述目标，以隔离具有运动模式差异的不同人群的关键障碍和功能限制。然后使用无监督学习和聚类分析方法，我们将使用这些数据来评估一个快速，方便，简单的指标来分类功能运动模式差异。我们将评估标准能量成本和多个髋关节和肢体加速度在日常生活活动的广泛电池，以指导使用先进的分析技术跨功能运动组的类别的单个或组合的可穿戴运动传感器算法的开发。这些拟议的研究结果将首次提供一个创新的和可翻译的方法来分类和评估PA的人与运动限制。这将提供评估决策树方法的基础，以指导监测器放置和算法选择，以评估不同人群中的PA。最终，我们的工作将提供精确和准确地评估PA患病率，基于行为的PA干预措施的有效性，以及PA剂量-反应关系，以预防和管理残疾状况的潜力。