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Automatic Physiotherapy and Rehabilitation System for Lower Body Total Joint Replacement

2016年6月16日 更新者:University of Waterloo
Physiotherapists spend a large amount of their time with patients observing their rehabilitation techniques. A patient going through rehabilitation exercises are routine and does not necessarily require the attention of the physiotherapist. This research will develop a sensor system that will be strapped onto the patients and will provide feedback on how accurately the exercise is being executed. This will free up the physiotherapist to focus on diagnosis and other tasks that will better utilize the physiotherapist's training. A previous study has shown that this system is feasible for healthy subjects. This study would test to see if this system is extendable to rehabilitation subjects.

研究概览

地位

完全的

详细说明

Many of the tasks performed regularly by physiotherapists during any given rehabilitation session are repetitive and do not rely on the physiotherapist's expertise, and could be performed and observed by automated means. The developed system will detect patient body postures and movements with data collected through sensors such as accelerometers. This data will be pattern matched to a predetermined movement pattern and feedback will be provided for patients regarding accuracy of their exercises. This data can be logged for the physiotherapist to examine at a later time. By automating this component of a rehabilitation session, the system will allow the physiotherapist to focus diagnosis and other tasks that will better utilize their training. The specific application for this prototype will be post-operative knee/hip replacement patients, so all devices must be non-invasive and must not interfere with normal recovery processes.

A previous version of this experiment on healthy participants has been successfully performed. This study would like to examine the feasibility of this system on rehabilitation subjects, as the movement patterns of a subject in physical rehabilitation may be dramatically different then a healthy subject. No intervention is suggested by the system, as this study is observational.

研究类型

观察性的

注册 (实际的)

18

联系人和位置

本节提供了进行研究的人员的详细联系信息,以及有关进行该研究的地点的信息。

学习地点

    • Ontario
      • Toronto、Ontario、加拿大、M5G 2A2
        • Toronto Rehabilitation Instititue

参与标准

研究人员寻找符合特定描述的人,称为资格标准。这些标准的一些例子是一个人的一般健康状况或先前的治疗。

资格标准

适合学习的年龄

  • 孩子
  • 成人
  • 年长者

接受健康志愿者

有资格学习的性别

全部

取样方法

非概率样本

研究人群

Specific target audience for sensor deployment is patients who has undergone knee or hip joint replacement and is taking physiotherapy rehabilitation sessions to recover. The target audience of this system is rehabilitation subjects who have recently had knee or hip replacement therapy. We would like to track several subjects over their rehabilitation stay to see the impact of rehabilitation on their movement pattern. Recruitment will be limited to in-patients only, as out-patients tend to be discharged from rehabilitation because they are healthier, and would likely have movement patterns closer to healthy subjects.

描述

Inclusion Criteria:

  • Any patient who has had hip and/or knee total joint replacement and requires rehabilitation, and are assessed by physiotherapists as likely able to finish their rehabilitation cycle and be discharged to home.
  • Patients with medical complications or other injuries will be not be excluded, as we are interested in seeing the movement profiles of a wide range of people.
  • In-patients

Exclusion Criteria:

  • Patients at risk of developing serious postoperative complications, such as an infection, myocardial infarction or anything that requires subsequent surgery, they may be excluded.
  • Out-patients.
  • Patients who cannot give explicit consent or understand the physiotherapist's instructions
  • Patients who do not speak fluent English

学习计划

本节提供研究计划的详细信息,包括研究的设计方式和研究的衡量标准。

研究是如何设计的?

设计细节

队列和干预

团体/队列
Total joint replacement
Patients who has undergone lower body total joint replacement surgery.

研究衡量的是什么?

主要结果指标

结果测量
措施说明
大体时间
Joint angle assessment
大体时间:2 weeks
Inertial measurement unit (IMU) data will be translated to joint angles via extended Kalman filter and kinematic modeling.
2 weeks

次要结果测量

结果测量
措施说明
大体时间
Motion segmentation and identification
大体时间:2 weeks
The joint angle data will be processed to automatically segment and identify rehabilitation motion.
2 weeks

合作者和调查者

在这里您可以找到参与这项研究的人员和组织。

调查人员

  • 首席研究员:Dana Kulic, PhD、University of Waterloo

出版物和有用的链接

负责输入研究信息的人员自愿提供这些出版物。这些可能与研究有关。

研究记录日期

这些日期跟踪向 ClinicalTrials.gov 提交研究记录和摘要结果的进度。研究记录和报告的结果由国家医学图书馆 (NLM) 审查,以确保它们在发布到公共网站之前符合特定的质量控制标准。

研究主要日期

学习开始

2012年11月1日

初级完成 (实际的)

2013年7月1日

研究完成 (实际的)

2015年12月1日

研究注册日期

首次提交

2014年12月3日

首先提交符合 QC 标准的

2014年12月18日

首次发布 (估计)

2014年12月24日

研究记录更新

最后更新发布 (估计)

2016年6月20日

上次提交的符合 QC 标准的更新

2016年6月16日

最后验证

2016年6月1日

更多信息

与本研究相关的术语

其他研究编号

  • ORE 18193
  • REB 12-025 (其他标识符:University Health Network)

计划个人参与者数据 (IPD)

计划共享个人参与者数据 (IPD)?

此信息直接从 clinicaltrials.gov 网站检索,没有任何更改。如果您有任何更改、删除或更新研究详细信息的请求,请联系 register@clinicaltrials.gov. clinicaltrials.gov 上实施更改,我们的网站上也会自动更新.

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