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SCH: INT: Inferring at home gait parameters of older adults using floor vibrations

SCH：INT：利用地板振动推断老年人的在家步态参数

基本信息

批准号：
10412054
负责人：
Juan Martin Caicedo
金额：
$ 28.92万
依托单位：
UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA
依托单位国家：
美国
项目类别：
财政年份：
2019
资助国家：
美国
起止时间：
2019-09-30 至 2024-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10412054
关键词：
Algorithms American Assessment tool Benchmarking Caregivers Caring Communities Controlled Environment Data Development Elderly Engineering Floor Gait Goals Health Health Care Costs Health Professional Health Status Healthcare Home Hospitals Independent Living Individual Knowledge Laboratories Location Measures Methods Mission Monitor National Institute on Aging Older Population Outcome Outcomes Research Participant Patients Personal Satisfaction Physical therapy Physicians Population Public Health Recovery Research Research Personnel STEM field Signal Transduction System Techniques Testing Time Training Uncertainty Underrepresented Populations United States Validation Vision Walking artificial neural network base digital experience improved machine learning algorithm next generation outreach privacy preservation readmission rates scientific literacy signal processing spatial relationship stem tool vibration

项目摘要

The United States population is growing older. There is an urgent need for tools to better connect health professionals with their patients and perform at-home assessments in an automated fashion. The long-term goal of this proposal is to discover the knowledge necessary to enable an always-on, non-intrusive, non-wearable smart system for automated at-home gait parameter estimation using floor vibrations. To achieve this vision, the proposal has the objective of connecting health professionals with older adults living independently through a smart system that estimates gait parameters using floor vibration. The aims to achieve this goal are to 1) determine at-home gait parameters as a function of time and space; 2) establish a digital identifier of the older adult based on gait parameters; and 3) correlate changes in at-home gait parameters, after considering spatial-temporal correlations, with changes in the well-being of the resident. The proposed research will advance the state-of-the-art in engineering, physical therapy and public health by testing the following hypotheses: 1) Floor vibration is a viable means to automatically and continuously determine gait parameters; 2) For healthy individuals living in an independent at-home setting, gait parameters will be consistent based on location in the home, time of the day and day of the week; and 3) For patients recently discharged from the hospital, recovery will correlate with improvements in their gait parameters. The testing of the hypotheses will be performed through five tasks: 1) Develop an automated system to capture floor vibration and extract gait parameters; 2) Validate the system in laboratory setting; 3) Collect data at participant’s homes; 4) Test the hypothesis that at-home gait parameters are consistent with time and space; 5) Test the hypothesis that improvement in gait parameters correlates improvement in health status of recently discharged patients. This research will be pursued by a group of interdisciplinary researchers in engineering and physical therapy with the support of an experienced geriatric physician and will advance the knowledge in signal processing techniques, estimation and validation of at-home gait parameters and their uncertainty, and relationship between changes at-home gait parameters and changes in health status. The proposed activities will have a significant impact on older adult care, the research community and the next generation of researchers and engineers stemming from: 1) improved health of older adults and reduced health care cost by early intervening and thus decreasing the readmission rate; 2) increased scientific literacy and public engagement through benchmark problems, interdisciplinary seminars, new courses and outreach activities; 3) the training of diverse convergence researchers competent in solving interdisciplinary problems, including underrepresented groups in STEM fields.

美国人口正在老龄化。迫切需要工具来更好地将卫生专业人员与他们的病人联系起来，并以自动方式在家中进行评估。这项提议的长期目标是发现必要的知识，以实现始终在线、非侵入性、不可穿戴的智能系统，使用地板振动自动估计家庭步态参数。为了实现这一愿景，该提案的目标是通过一种使用地板振动估计步态参数的智能系统，将卫生专业人员与独立生活的老年人连接起来。实现这一目标的目的是1)确定作为时间和空间的函数的居家步态参数；2)基于步态参数建立老年人的数字识别器；3)在考虑了时空相关性后，将居家步态参数的变化与居民幸福感的变化相关联。这项拟议的研究将通过测试以下假设来推进工程、物理治疗和公共卫生方面的最先进水平：1)地板振动是自动和连续确定步态参数的可行手段；2)对于生活在独立家庭环境中的健康个人来说，步态参数将基于家庭中的位置、一天中的时间和一周中的一天而一致；以及3)对于最近出院的患者，康复将与他们步态参数的改善相关。假说的检验将通过五个任务进行：1)开发一个自动系统来捕获地板振动并提取步态参数；2)在实验室环境中验证系统；3)在参与者的家中收集数据；4)检验在家步态参数与时间和空间一致的假说；5)检验步态参数改善与最近出院患者健康状况改善相关的假说。这项研究将由一组工程和物理治疗领域的跨学科研究人员在一位经验丰富的老年医生的支持下进行，并将促进对信号处理技术、家庭步态参数及其不确定性的估计和验证以及家庭步态参数变化与健康状况变化之间的关系的了解。拟议的活动将对老年人护理、研究界以及下一代研究人员和工程师产生重大影响，其原因是：1)通过早期干预措施改善老年人的健康，降低保健费用，从而降低再住院率；2)通过基准问题、跨学科研讨会、新课程和外联活动，提高科学素养和公众参与度；3)培训有能力解决跨学科问题的多样化的趋同研究人员，包括STEM领域代表性不足的群体。