Wearable Airbag Technology to Mitigate Falls in Individuals With High Fall Risk
试验速览
- 阶段
- 不适用
- 状态
- 进行中（未招募）
- 入组人数
- 200
- 试验地点
- 2
- 主要终点
- Pre-fall classification performance
研究概览
简要总结
The purpose of this study is to evaluate the feasibility and efficacy of a smart airbag system that detects and mitigates fall-related impact in individuals with high fall risk.
详细描述
The purpose of this study is to evaluate the feasibility and efficacy of a smart airbag system that detects and mitigates fall-related impact in individuals with high fall risk.
The specific aims of this study are:
- To evaluate and optimize pre-fall detection algorithms and the usability of the smart airbag system for fall mitigation in individuals with high fall risk.
- To evaluate the efficacy of the smart airbag system in mitigating real-world falls and its effect on community mobility in individuals with high fall risk.
The investigators hypothesize that a soft, smart airbag system that uses advanced machine learning algorithms can accurately detect and mitigate falls, deploying appropriately to reduce hip fractures due to falls. The investigators also expect that wearing this device will decrease fear of falling and thus increase community mobility and social interaction.
研究设计
- 研究类型
- Interventional
- 分配方式
- Na
- 干预模型
- Single Group
- 主要目的
- Device Feasibility
- 盲法
- None
入排标准
- 年龄范围
- 18 Years 至 85 Years（Adult, Older Adult）
- 性别
- All
- 接受健康志愿者
- 是
入选标准
- 未提供
排除标准
- 未提供
结局指标
主要结局
Pre-fall classification performance
时间窗: 1 year
Derivation(s) from a confusion matrix
次要结局
未报告次要终点
研究者
Arun Jayaraman, PT, PhD
Principal Investigator
Shirley Ryan AbilityLab