Automatic Physiotherapy and Rehabilitation System for Lower Body Total Joint Replacement
研究概览
地位
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
注册 (实际的)
联系人和位置
学习地点
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Ontario
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Toronto、Ontario、加拿大、M5G 2A2
- Toronto Rehabilitation Instititue
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参与标准
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
取样方法
研究人群
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
研究是如何设计的?
设计细节
队列和干预
团体/队列 |
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Total joint replacement
Patients who has undergone lower body total joint replacement surgery.
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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 |
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Joint angle assessment
大体时间:2 weeks
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Inertial measurement unit (IMU) data will be translated to joint angles via extended Kalman filter and kinematic modeling.
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2 weeks
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次要结果测量
结果测量 |
措施说明 |
大体时间 |
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Motion segmentation and identification
大体时间:2 weeks
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The joint angle data will be processed to automatically segment and identify rehabilitation motion.
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2 weeks
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合作者和调查者
调查人员
- 首席研究员:Dana Kulic, PhD、University of Waterloo
出版物和有用的链接
一般刊物
- Lin JF, Kulic D. Human pose recovery using wireless inertial measurement units. Physiol Meas. 2012 Dec;33(12):2099-115. doi: 10.1088/0967-3334/33/12/2099. Epub 2012 Nov 23.
- Feng-Shun Lin J, Kulic D. Segmenting human motion for automated rehabilitation exercise analysis. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2881-4. doi: 10.1109/EMBC.2012.6346565.
- Lin JF, Kulic D. Online Segmentation of Human Motion for Automated Rehabilitation Exercise Analysis. IEEE Trans Neural Syst Rehabil Eng. 2014 Jan;22(1):168-80. doi: 10.1109/TNSRE.2013.2259640. Epub 2013 May 2.
研究记录日期
研究主要日期
学习开始
初级完成 (实际的)
研究完成 (实际的)
研究注册日期
首次提交
首先提交符合 QC 标准的
首次发布 (估计)
研究记录更新
最后更新发布 (估计)
上次提交的符合 QC 标准的更新
最后验证
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)?
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