Exploring the Effectiveness of Sensor-based Balance Training on Patient Outcome Measures
2016年5月16日 更新者:Bijan Najafi、University of Arizona
Explore the benefit of the game-based virtual reality system in improving lower extremity kinematics and balance in patients suffering from disease/disorders including Diabetes, Cancer, Multiple Sclerosis, Arthritis, Parkinson's disease, Cognitive Disorders, Brain Injury, Stroke or Frailty.
A four to six weeks of training with 2 training session/week will be provided.
研究概览
地位
地位
未知
条件
条件
干预/治疗
干预/治疗
详细说明
Individuals suffering from certain disorders/diseases including diabetes, arthritis, cancer, osteoarthritis, stroke, Parkinson's disease, cognitive impairment or brain Injury are more likely to experience a fall or a fall-related injury than healthy individuals during to impaired postural stability or diminished joint perception.
Under certain circumstance they may also experience pain, depression, anxiety, and a decreased quality of life.
The investigators' research has been designed to provide exercise training using non-invasive body-worn sensors (similar to those used in an iPhone®) to provide real-time visual information about joint motion in a virtual environment.
These sensors will be worn using a vest, t-shirt or elastic band.
The investigators will, 1) assess changes in participant's perception of lower extremity position while they perform these exercises; 2) motivate and guide simple exercise performance in the clinic/home, using an interactive game-like scheme; and 3) assess changes in participant's postural stability and gait as a result of provided exercise training.
The information gathered will provide new understanding about more helpful rehabilitation strategies that improve postural stability in patient population.
研究类型
研究类型
介入性
注册 (预期的)
注册
200
阶段
阶段
- 不适用
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。
学习联系方式
学习联系方式
- 姓名:Bijan Najafi, PhD
- 电话号码:7137987536
- 邮箱:najafi.bijan@gmail.com
学习地点
-
-
Arizona
-
Tucson、Arizona、美国、85724
- 招聘中
- University of Arizona
-
接触:
- Bijan S Najafi, PhD
- 电话号码:713-798-0477
- 邮箱:najafi.bijan@gmail.com
-
-
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
资格标准
适合学习的年龄
18年 及以上 (成人、年长者)
接受健康志愿者
不
有资格学习的性别
全部
描述
Inclusion Criteria:
Diagnosis of:
- diabetes
- cancer
- multiple sclerosis
- arthritis
- Parkinson's disease
- cognitive disorders
- brain injury
- frailty
- stroke
Exclusion Criteria:
- conditions not related to specific disorders affecting balance and gait
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
- 主要用途:治疗
- 分配:随机化
- 介入模型:并行分配
- 屏蔽:单身的
手臂数量
2
武器和干预
参与者组/臂参与者组/臂 |
干预/治疗干预/治疗 |
|---|---|
|
实验性的:Exergame
inertial sensor based system (wearable sensors, LEGSys, Biosensics LLC) will be used for balance training with computerized feedback.
The balance training program is focused on lower extremities including ankle joint exercise and virtual obstacle crossing tasks.
|
Subjects will perform progressive and computerized foot and ankle exercises which include weight shifting, ankle reaching task while standing, and virtual obstacle crossing task (i.e.
balancing on single leg) using wearable sensors technology (Exergaming) equipment).
Subjects will perform these exercises for 4-6 weeks, twice per week.
The duration of exercise per session is anticipated to be 30-45 minutes.
其他名称:
|
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有源比较器:Home based balance training
The control group will ask to perform a home based program includes similar exercise components as proposed in the experimental group, however without computerized feedback.
Exercises include postural balance tasks, such as backward and forward weight shifting, as well as dynamic balance exercises, such as marching in place (comparable to virtual obstacle crossing in experimental group).
|
Subjects in the control group will ask to perform a standard home based balance program for 4-6 weeks.
The home based program includes similar exercise components as proposed in the experimental group, however without computerized feedback and Exergaming equipment.
|
研究衡量的是什么?
主要结果指标
主要结果指标
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Change in Balance
大体时间:4-6 weeks
|
Balance will be quantified by measuring area of sway of center of mass (with unit of cm2) during quite standing according to Romberg's protocol and using validated instrument (BalanSens, Biosensics, MA, USA)
|
4-6 weeks
|
次要结果测量
次要结果测量
结果测量 |
措施说明 |
大体时间 |
|---|---|---|
|
Change in gait Speed
大体时间:4-6 weeks
|
Gait Speed (with unit of m/sec) will be measured using validated wearable technology (LEGSys, Biosensics, MA, USA) and during walking with habitual and fast speed walking
|
4-6 weeks
|
|
Change in Stride length
大体时间:4-6 weeks
|
Stride Length (with unit of meter) will be measured using validated wearable technology (LEGSys, Biosensics, MA, USA) and during walking with habitual and fast speed walking
|
4-6 weeks
|
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Change in Stride time
大体时间:4-6 weeks
|
Stride time (with unit of second) will be measured using validated wearable technology (LEGSys, Biosensics, MA, USA) and during walking with habitual and fast speed walking
|
4-6 weeks
|
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Change in number of walking steps per day
大体时间:4-6 weeks
|
Average of walking steps (no unit) per day will be measured during 48 hours of daily physical activity monitoring using a validated wearable sensor technology (PAMSys, Biosensics, MA, USA)
|
4-6 weeks
|
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Change in average of walking bout
大体时间:4-6 weeks
|
Daily average of walking bout (continuous walking without stop, with unit of steps) will be measured over 48 hours monitoring of physical activity using a validated wearable sensor technology (PAMSys, Biosensics, MA, USA)
|
4-6 weeks
|
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Change in average of standing bout
大体时间:4-6 weeks
|
Daily average of standing bout (continuous standing without changing in posture with unit of seconds) will be measured over 48 hours monitoring of physical activity using a validated wearable sensor technology (PAMSys, Biosensics, MA, USA)
|
4-6 weeks
|
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Change in average of longest walking bout
大体时间:4-6 weeks
|
Daily average of longest walking bout (longest continuous walking without stop per day, with unit of steps) will be measured over 48 hours monitoring of physical activity using a validated wearable sensor technology (PAMSys, Biosensics, MA, USA)
|
4-6 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。
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
学习开始
2014年9月1日
初级完成 (预期的)
初级完成
2016年12月1日
研究完成 (预期的)
研究完成
2017年8月1日
研究注册日期
首次提交
首次提交
2015年6月8日
首先提交符合 QC 标准的
首先提交符合 QC 标准的
2016年5月16日
首次发布 (估计)
首次发布
2016年5月19日
研究记录更新
最后更新发布 (估计)
最后更新发布
2016年5月19日
上次提交的符合 QC 标准的更新
上次提交的符合 QC 标准的更新
2016年5月16日
最后验证
最后验证
2016年5月1日
更多信息
与本研究相关的术语
其他相关的 MeSH 术语
其他研究编号
其他研究编号
- 1409482826
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