健康的可穿戴设备 (W4H) 工具包用于从各种可穿戴设备获取,存储,分析和可视化数据
Arash Hajisafi1, Maria Despoina Siampou1, Jize Bi1
1Dept. of Computer Science, University of Southern California, Los Angeles, CA, USA.
Proceedings. International Conference on Data Engineering
|November 1, 2024
概括
可穿戴健康工具包 (W4H工具包) 提供了一个开源平台,用于管理和分析可穿戴健康数据. 它支持用于各种临床应用和研究的数据采集,集成和分析.
科学领域:
- 生物医学信息学 生物医学信息学
- 医疗卫生技术 技术 技术
- 数据科学数据科学数据科学
背景情况:
- 可穿戴设备产生了大量的健康数据.
- 现有的平台往往缺乏集成解决方案,用于集中数据管理和分析.
- 研究人员和从业人员需要一个统一的框架来利用可穿戴数据.
研究的目的:
- 介绍可穿戴健康工具包 (W4H工具包) 作为一个开源解决方案.
- 展示其对可穿戴数据的集中管理和分析的能力.
- 突出其对健康研究人员和从业人员在临床应用中的实用性.
主要方法:
- 开发了一个开源平台,集成用于数据采集,集成,存储,分析和可视化工具.
- 设计用于处理各种可穿戴设备的存储和流数据.
- 为各种医疗保健领域提供无数据处理.
主要成果:
- W4H工具包为可穿戴数据管理提供了一个强大的端到端解决方案.
- 成功展示了广泛的可穿戴数据的进口和分析.
- 强调了该系统在各种医疗保健应用中的多功能性.
结论:
- "W4H工具包"提供了一个统一的框架,用于分析可穿戴设备的健康相关数据.
- 为医学研究人员和卫生从业者提供高效的数据管理和分析.
- 促进在各种临床应用和研究工作中使用可穿戴数据.
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