Hajisafi Arash, Siampou Maria Despoina, Bi Jize, Nocera Luciano, Shahabi Cyrus
Dept. of Computer Science, University of Southern California, Los Angeles, CA, USA.
Proc Int Conf Data Eng. 2024 May;2024:5425-5428. doi: 10.1109/ICDE60146.2024.00419. Epub 2024 Jul 23.
The Wearables for Health Toolkit (W4H Toolkit) is an open-source platform that provides a robust, end-to-end solution for the centralized management and analysis of wearable data. With integrated tools and frameworks, the toolkit facilitates seamless data acquisition, integration, storage, analysis, and visualization of both stored and streaming data from various wearable devices. The W4H Toolkit is designed to provide medical researchers and health practitioners with a unified framework that enables the analysis of health-related data for various clinical applications. We provide an overview of the system and demonstrate how it can be used by health researchers to import and analyze a wide range of wearable data and perform data analysis, highlighting the versatility and functionality of the system across diverse healthcare domains and applications.
健康可穿戴设备工具包(W4H工具包)是一个开源平台,为可穿戴数据的集中管理和分析提供强大的端到端解决方案。借助集成的工具和框架,该工具包便于对来自各种可穿戴设备的存储数据和流数据进行无缝的数据采集、集成、存储、分析和可视化。W4H工具包旨在为医学研究人员和健康从业者提供一个统一的框架,以便对各种临床应用中的健康相关数据进行分析。我们概述了该系统,并展示了健康研究人员如何使用它来导入和分析广泛的可穿戴数据并进行数据分析,突出了该系统在不同医疗领域和应用中的多功能性和实用性。