A Wearable Haptic Feedback System for Home-based Gait Training for Older Adults

用于老年人家庭步态训练的可穿戴触觉反馈系统

• 批准号: 10653458
• 负责人: Babak Hejrati
• 金额: $ 43.24万
• 依托单位: UNIVERSITY OF MAINE ORONO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-04-01 至 2026-03-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10653458
• 关键词: Acute; Address; Adult; Age; Aging; Algorithms; Articular Range of Motion; Attention; Biomechanics; Cellular Phone; Chronic; Cognition; Cognitive; Communities; Coupled; Data; Discipline; Elderly; Engineering; Exercise; Exhibits; Feedback; Fostering; Future; Gait; Gait abnormality; Gait speed; Health; Home; Human; Impaired cognition; Impairment; Independent Living; Individual; Instruction; Interval training; Intervention; Knowledge; Learning; Learning Skill; Left; Leg; Length; Linear Models; Maintenance; Methods; Modification; Monitor; Motor; Motor Skills; Movement; Musculoskeletal System; Neurologic; Neurosciences; Older Population; Outcome; Participant; Pattern; Performance; Phase; Physical therapy; Positive Reinforcements; Production; Psychology; Research; Signal Transduction; Speed; Structure; System; Tactile; Targeted Research; Technology; Testing; Thigh structure; Time; Training; Variant; Walking; Work; cardiopulmonary system; design; fall risk; fear of falling; gait rehabilitation; haptic feedback; improved; improved mobility; innovation; mortality risk; motor control; motor impairment; motor learning; muscular system; neuroregulation; novel; recruit; response; sensor; skills; telehealth; wireless

Project Summary The population of older adults in the U.S. is growing very rapidly. Living independence is at the core of successful aging, and independent mobility is critical to independent functioning. Many community-dwelling older adults, who can walk independently, exhibit mild to moderate abnormal gait patterns that if remaining untreated will lead to a risk of falls, fear of falling, loss of mobility, and other health issues. Many of the early changes in gait seen with aging are a reflection of impaired motor control. These motor control deficits are not ameliorated by interventions targeting the muscular and cardiopulmonary systems. Interventions that focus on training the perceptuomotor system are needed to generate a more stable and efficient gait. The knowledge gaps lie in (1) the structure of the training to enhance the perceptuomotor system, and (2) merging the training unobtrusively into users’ daily walking exercise because neuromotor skills can be improved by regular training. To address these gaps, a first-of-its-kind wearable tactile feedback system has been created that uses tactile feedback coupled with wireless smartphone-based technology to enable independent and repeated motor learning-driven gait training. The objective of this proposal is to test the hypothesis that biomechanics-driven tactile feedback, which targets deficits in the underlying biomechanical variables via motor learning exercises and human adaptation, can significantly improve the neural control of movement through modification of the key gait parameters in older adults. The tactile feedback aims to increase the thigh peak extension and, thereby, improve stride length and gait speed as two key gait parameters. The two aims of this proposal are geared towards achieving the mentioned objective. In Aim 1, we will test two algorithms based on error feedback and positive reinforcement methods to provide tactile feedback to increase the thigh extension. This aim determines which methods evoke better responses from users during the training phase. Aim 2 will focus on the retention of gait improvements through longer-term practicing with the developed system and the two algorithms at a later date when the feedback is no longer present. This work will provide translatable research opportunities involving multiple disciplines such as engineering, neuroscience, and psychology, as well as motor learning physical therapy with the potential to impact the lives of many individuals. Since this research targets users' cognition to effect change their physical capabilities through motor learning training, and the benefits of improving mobility for cognitive capabilities in older adults, it can open up opportunities to address cognitive declines in older adults.

项目概要 美国老年人口增长非常快，生活独立程度很高。 成功老龄化的核心，独立行动对于许多人的独立功能至关重要。 能够独立行走的社区老年人表现出轻度至中度异常 如果不及时治疗将导致跌倒的风险、害怕跌倒、丧失行动能力的步态模式， 和其他健康问题的许多早期步态变化反映了衰老。 运动控制受损。针对这些运动控制缺陷的干预措施并不能改善这些缺陷。 专注于训练肌肉和心肺系统的干预措施。 需要感知运动系统来产生更稳定和有效的步态。 差距在于（1）增强感知运动系统的训练结构，以及（2）融合 将训练不引人注目地融入到用户的日常步行锻炼中，因为神经运动技能可以 为了弥补这些差距，我们推出了首创的可穿戴触觉反馈。 已经创建了一个系统，该系统使用触觉反馈以及基于无线智能手机的 技术实现独立和重复的运动学习驱动的步态训练。 该提案的目的是测试生物力学驱动的触觉反馈的假设，其目标是 通过运动学习练习和人类的潜在生物力学变量的缺陷 适应，可以通过修改来显着改善运动的神经控制 触觉反馈旨在增加老年人的关键步态参数。 从而改善步幅长度和步态速度这两个关键步态参数。 本提案的两个目标旨在实现上述目标 1。 将测试两种基于误差反馈和正强化方法的算法，以提供 触觉反馈可增加大腿伸展度，这一目标决定了哪种方法能更好地唤起。 目标 2 将重点关注步态的保持。 通过对所开发的系统和两种算法进行长期实践的改进 稍后当反馈不再存在时，这项工作将提供可转化的研究。 涉及工程学、神经科学和心理学等多个学科的机会， 以及运动学习物理治疗，有可能影响许多人的生活 由于这项研究针对的是用户的认知，以影响他们的身体能力。 通过运动学习训练，以及提高认知能力流动性的好处 对于老年人来说，它可以为解决老年人认知能力下降问题提供机会。