NCT02835248已完成不适用
A Novel System to Detect Falls in Real-life Conditions
BioSensics1 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2015年9月最近更新:
适应症
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 200
- 试验地点
- 1
- 主要终点
- The sensitivity and specificity of ActivePERS fall detection algorithms will be measured by comparing the occurence of falls detected by the wearable device to study participant self reported falls
研究概览
简要总结
Medical alert devices with automatic fall detection functionality use accelerometry to detect a fall and can signal for help if the wearer forgets to, or is incapable of, pressing the alert button. This can save lives and prevent complications associated with long periods of time spent on the floor after a fall. In this project, the sensitivity and false alarm rate of a commercially available medical alert device will be tested in a population of 200 community-dwelling older adults.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 75 Years 至 —（Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- •Enrolled in the STRIDE Study at the Boston trial site (http://www.stride-study.org/).
排除标准
- •Uses a medical alert device
结局指标
主要结局
The sensitivity and specificity of ActivePERS fall detection algorithms will be measured by comparing the occurence of falls detected by the wearable device to study participant self reported falls
时间窗: 2 years
次要结局
- Near falls as measured by patient self report(2 years)
研究者
研究点 (1)
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