HEAL: A Health Analytics Intelligent Agent Platform for the acquisition and analysis of physiological signals
HEAL: A Health Analytics Intelligent Agent Platform for the acquisition and analysis of physiological signals
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HEAL：用于采集和分析生理信号的健康分析智能代理平台
DOI：
10.1109/healthcom.2018.8531120
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
G. Riccardi
中科院分区：
文献类型：
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作者：
Arindam Ghosh;Evgeny A. Stepanov;J. M. M. Torres;M. Danieli;G. Riccardi
有效地照顾慢性病患者是一项具有挑战性和昂贵的任务。需要降低治疗这些慢性病患者的成本，同时提高向患者提供的护理质量。移动的健康（mHealth）技术，如远程监测、远程医疗和基于家庭的监测，已成为有效的工具，将重点转向更加以患者为中心的医疗保健。在本文中，我们介绍了HEAL，一个智能医疗保健分析和个人代理平台。HEAL个人代理可以随时随地持续监测患者的隐蔽和公开信号。HEAL代理由一个管道组成，该管道聚合来自设备和传感器类型的信号。该平台收集运动轮廓和用户注释，用于执行活动识别和压力水平检测。我们评估了HEAL平台对原发性高血压患者的影响，并表明智能个人移动的代理能够监测、分析和跟踪高血压管理的特征。
Effectively caring for patients suffering from chronic diseases is a challenging and costly task. There is a need to decrease the cost of treating these chronic patients, while increasing the quality of the care provided to the patients. Mobile health (mHealth) technologies such as remote monitoring, telemedicine, and home-based monitoring have become effective tools shifting the focus towards a more patient-centric healthcare. In this paper we present HEAL, an intelligent healthcare analytics and personal agent platform. The HEAL personal agent enables on-the-go continuous monitoring of covert and overt signals from patients. The HEAL agent consists of a pipeline that aggregates signals from devices and sensor types. The platform collects motion profiles, and user annotation for performing activity recognition and stress level detection. We evaluate the HEAL platform on patients suffering from essential hypertension and show that an intelligent personal mobile agent is capable of monitoring, analyzing and tracking the characteristics of hypertension management.