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使用可听设备进行全自动步态分析:使用助听器集成加速度计对End2End管道进行评估
概括
本研究引入了首个耳机端到端步态分析管道,使得精确的数字生物标志物估计成为可能. 开源工具箱在家庭环境中促进了自动化,长期的移动性评估.
科学领域:
- 生物医学工程 生物医学工程
- 可穿戴技术可穿戴技术
- 数字健康数字健康
背景情况:
- 耳机可以提供不引人注目的数字生物标志物估计,但缺乏全面的步态分析工具.
- 现有的耳戴式系统解决了孤立的步态方面,而不是自动化工作流程的完整端到端管道.
研究的目的:
- 为耳戴加速度计提供一个完整的端到端步态度分析管道.
- 使用多个算法将原始传感器信号处理为时空步态参数.
主要方法:
- 开发了一种新的步态序列探测器 (GSD),用于自动检测步态区域.
- 综合验证的时空算法用于事件识别和参数估计.
- 作为参考,利用了各种步行速度和脚穿戴IMU的数据集.
主要成果:
- GSD成功检测到91%的步态序列.
- 管道实现了大约4%的步进时间和步进长度错误.
- 步行速度误差为5.7%,与孤立的算法评估一致.
结论:
- 这是第一个专门为可听设备设计的端到端步态度分析管道.
- 开源工具箱促进研究,并促进自动化,持续,长期的流动性评估.
- 可以利用Earables在日常环境中进行先进的移动监控.
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