A Mobile Tai Chi Platform for Fall Prevention in Older Adults

用于老年人预防跌倒的移动太极拳平台

• 批准号: 10018604
• 负责人: Paolo Bonato
• 金额: $ 103.91万
• 依托单位: BIOSENSICS, LLC
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-15 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10018604
• 关键词: Accident and Emergency department; Adherence; Adult; Aging; Algorithms; Attention; Awareness; Boston; Centers for Disease Control and Prevention (U.S.); Cessation of life; Clinical Trials; Cognitive; Communities; Consensus; Data; Development; Dose; Elderly; Equilibrium; Etiology; Evaluation; Exercise; Fall prevention; Feedback; Focus Groups; Gait; Goals; Health; Home environment; Injury; Instruction; Intervention; Intervention Studies; Laboratories; Learning; Measures; Meta-Analysis; Mind-Body Intervention; Monitor; Morbidity - disease rate; Motor; Movement; Musculoskeletal Equilibrium; Online Systems; Participant; Performance; Persons; Phase; Population; Procedures; Process; Protocols documentation; Psyche structure; Public Health; Reporting; Research Personnel; Research Support; Respondent; Safety; Small Business Technology Transfer Research; Societies; Surveys; System; Tablet Computer; Tablets; Tai Ji; Testing; Time; Training; Training Programs; United States; Visit; Wireless Technology; Work; Yoga; algorithm development; base; body-mind; cognitive control; cognitive training; cohort; commercialization; dashboard; economic impact; exercise intervention; fall risk; falls; flexibility; health goals; human old age (65+); improved; innovation; instructor; iterative design; medical schools; mode of exercise; multi-component intervention; multitask; neuromuscular; novel strategies; programs; rural underserved; sensor; teacher; telehealth systems; usability; user centered design; user-friendly; wearable sensor technology

Project Summary The overall goal of the proposed work is to develop a platform capable of delivering and monitoring adherence, proficiency, and safety of a home-based simplified Tai Chi intervention for older adults. During Phase I of this Fast-Track STTR project we will further develop a novel approach to assessing Tai Chi performance adherence, proficiency, and safety based on wearable sensor data. Metrics of adherence and safety will be determined. A multi-item proficiency scoring metric will be developed using a modified Delphi consensus process. Subjects will be asked to perform movements in the laboratory from the simplified Tai Chi intervention while wearing a network of nine-axis sensors. Proficiency will be assessed by Tai Chi experts using the previously developed metric. Collected data will be used to aid development of algorithms to predict adherence, proficiency, and safety. Sensitivity analyses will be performed to identify the minimum number of sensors necessary to achieve satisfactory results. During Phase I we will also carry out stakeholder focus groups to inform the development of a user-friendly Tele-Tai Chi platform. During Phase II of this Fast-Track STTR project we will develop a user-friendly ‘Tele-Tai Chi’ platform via a user-centered design approach. To accomplish this aim, we will develop a platform consisting of a wireless body sensor network, a tablet computer (to collect data, and provide instructions and feedback), and a web- based dashboard (for remote access to program data). An iterative design approach will be employed based on the needs of the end-user including practitioners, Tai Chi instructors, and researchers. Focus groups will be employed to ascertain this information over the course of the project. Next we will demonstrate feasibility of tracking adherence, proficiency and safety over a 3-month training period in a 3 consecutive cohorts (n=10 each) of older adults. For this preliminary test of our platform, subjects will participate in a 12-week home-based simplified Tai Chi program delivered via pre-programed tablets, supplemented with laboratory visits at baseline, 3, 6, and 12 weeks. Subjects will be asked to practice at home for 45 minutes a minimum of 3 times per week. Instumented laboratory visits will: a) simulate typical home practice sessions and provide additonal data on usability and inform estimates of adherence and proficiency algorithms; and b) allow for longitudinal evaluation of function and postural control, which will be used to explore associations between platform-derived measures of adherence and proficiency and fall risk.

项目概要 拟议工作的总体目标是开发一个能够提供和监控依从性的平台， 针对老年人的家庭简化太极拳干预的熟练程度和安全性。 在这个快速通道 STTR 项目的第一阶段，我们将进一步开发一种新的方法来评估 Tai 基于可穿戴传感器数据的 Chi 表现依从性、熟练程度和安全性。 将使用一个多项目熟练度评分指标来确定依从性和安全性。 修改后的德尔菲共识流程将要求受试者在实验室中进行动作。 佩戴九轴传感器网络时的简化太极拳干预能力将由以下人员进行评估。 太极专家使用先前开发的指标收集的数据将用于帮助开发。 将执行预测依从性、熟练程度和安全性的算法来识别分析。 在第一阶段，我们还将采用最少数量的传感器来获得满意的结果。 利益相关者焦点小组为用户友好的远程太极平台的开发提供信息。 在这个快速通道 STTR 项目的第二阶段，我们将通过 为了实现这一目标，我们将开发一个由无线组成的平台。 身体传感器网络、平板电脑（用于收集数据、提供指令和反馈）以及网络 基于仪表板（用于远程访问程序数据）将采用迭代设计方法。 包括从业者、太极拳教练和研究人员在内的最终用户的需求。 接下来我们将证明该信息的可行性。 跟踪 3 个连续队列在 3 个月培训期间的依从性、熟练程度和安全性 （每名 n = 10 名）老年人 对于我们平台的初步测试，受试者将参加为期 12 周的测试。 通过预编程平板电脑提供家庭简化太极拳课程，并辅以实验室课程 受试者将被要求在家练习至少 45 分钟。 每周 3 次仪器实验室访问将： a) 模拟典型的家庭练习课程并提供 关于可用性的附加数据并为依从性和熟练程度算法的估计提供信息；b) 考虑到 功能和姿势控制的纵向评估，将用于探索之间的关联 平台衍生的依从性、熟练程度以及跌倒风险的衡量标准。