Department of Mechanical, Aerospace, and Biomedical Engineering, University of Tennessee, Knoxville, TN 37996, USA.
Comput Methods Programs Biomed. 2013 Jun;110(3):253-9. doi: 10.1016/j.cmpb.2012.11.008. Epub 2012 Dec 20.
Recent advances in mobile technology and cloud computing have inspired numerous designs of cloud-based health care services and devices. Within the cloud system, medical data can be collected and transmitted automatically to medical professionals from anywhere and feedback can be returned to patients through the network. In this article, we developed a cloud-based system for clients with mobile devices or web browsers. Specially, we aim to address the issues regarding the usefulness of the ECG data collected from patients themselves. Algorithms for ECG enhancement, ECG quality evaluation and ECG parameters extraction were implemented in the system. The system was demonstrated by a use case, in which ECG data was uploaded to the web server from a mobile phone at a certain frequency and analysis was performed in real time using the server. The system has been proven to be functional, accurate and efficient.
近年来，移动技术和云计算的发展激发了众多基于云的医疗保健服务和设备的设计。在云系统中，医疗数据可以自动从任何地方收集并传输给医疗专业人员，并且可以通过网络将反馈返回给患者。在本文中，我们为使用移动设备或网络浏览器的客户开发了一个基于云的系统。具体来说，我们旨在解决从患者自身收集的 ECG 数据的有用性问题。在系统中实现了 ECG 增强、ECG 质量评估和 ECG 参数提取的算法。通过一个用例演示了该系统，其中以一定的频率从移动电话将 ECG 数据上传到网络服务器，并使用服务器实时执行分析。该系统已被证明是功能齐全、准确和高效的。
