A mobile system for real-time context-aware monitoring of patients' health and fainting
A mobile system for real-time context-aware monitoring of patients' health and fainting
复制标题
用于实时情境感知监测患者健康和晕厥的移动系统
DOI：
10.1504/ijdmb.2014.064891
复制
发表时间：
2014
影响因子：
0.3
通讯作者：
G. Pietro
中科院分区：
文献类型：
--
作者：
Giovanna Sannino;G. Pietro
患者上下文感知是mHealth环境中应用程序服务的重要概念。在本文中，我们提出了一个多传感器系统，使用基于规则的决策支持系统，能够提高潜在危险的心率变异性的准确性，考虑到病人的上下文信息。此外，所提出的系统还能够真实的实时检测患者福尔斯。我们已经设计并实现了一个智能的，用户友好的，上下文感知系统，允许接收来自多个传感器的数据，并提供上下文识别的计算能力。我们还表明，使用智能方法依赖于基于规则的DSS的数据和生命体征的分析是更好的方法缺少DSS或上下文感知。最后，本文还介绍了一个案例研究，该系统揭示了重要的好处，为病人和医务人员。
Patient context awareness is an important concept for application services in mHealth environments. In this paper we present a multi-sensors system that uses a rule-based DSS able to enhance the accuracy of potentially dangerous heart rate variability by taking into account patient context information. In addition the proposed system is able to detect also patient falls in real time. We have designed and implemented an intelligent, user-friendly, and context-aware system that allows receiving data from several sensors and provides the computational power for context recognition. We also show that the use of an intelligent approach relying on a rule-based DSS for the analysis of data and vital signs is better than approaches missing either DSS or context-awareness. Finally, the paper also describes a case study where the system has revealed important benefits for both patients and medical staff.
DOI：
10.1016/s0735-1097(00)01054-8
发表时间：
2001-01-01
影响因子：
24
作者：
Tanaka, H;Monahan, KD;Seals, DR
通讯作者：
Seals, DR