hSpy: An intelligent framework for context and predictive analysis for smarter health devices

E. Oliveira, M. Kirley, Elena Vanz, Kiev Gama
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引用次数: 3

Abstract

The world is experiencing an unprecedented explosion in the number of smart devices and mobile apps available. In particular in health area devices and technologies related to market place are often restricted to proprietary platforms, typically working in isolation with fixed hardware settings. Gaining access to high-quality data - including aggregated data from existing sensors, gadgets and smart devices is one important challenge. This article explores the idea of hSpy, an intelligent framework to support context and predictive analysis based on the integration of distributed and heterogeneous mobile sensor data for smarter health devices. hSpy aims to help users monitoring their current health status via the acquisition of meaningful and accurate information.
hSpy:为更智能的健康设备提供上下文和预测分析的智能框架
世界正在经历智能设备和移动应用程序数量前所未有的爆炸式增长。特别是在卫生领域,与市场有关的设备和技术往往局限于专有平台,通常与固定的硬件设置隔离工作。获取高质量的数据——包括来自现有传感器、小工具和智能设备的汇总数据——是一个重要的挑战。本文探讨了hSpy的概念,hSpy是一个智能框架,用于支持基于分布式和异构移动传感器数据集成的智能医疗设备的上下文和预测分析。hSpy旨在通过获取有意义和准确的信息来帮助用户监测他们当前的健康状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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