Bansal Ayush, Kumar Sunil, Bajpai Anurag, Tiwari Vijay N, Nayak Mithun, Venkatesan Shankar, Narayanan Rangavittal
Advanced Technology Lab, Samsung R&D Institute India-Bangalore PVT.LTD, Bangalore, India.
IET Syst Biol. 2015 Dec;9(6):309-14. doi: 10.1049/iet-syb.2015.0012.
Remote health monitoring system with clinical decision support system as a key component could potentially quicken the response of medical specialists to critical health emergencies experienced by their patients. A monitoring system, specifically designed for cardiac care with electrocardiogram (ECG) signal analysis as the core diagnostic technique, could play a vital role in early detection of a wide range of cardiac ailments, from a simple arrhythmia to life threatening conditions such as myocardial infarction. The system that the authors have developed consists of three major components, namely, (a) mobile gateway, deployed on patient's mobile device, that receives 12-lead ECG signals from any ECG sensor, (b) remote server component that hosts algorithms for accurate annotation and analysis of the ECG signal and (c) point of care device of the doctor to receive a diagnostic report from the server based on the analysis of ECG signals. In the present study, their focus has been toward developing a system capable of detecting critical cardiac events well in advance using an advanced remote monitoring system. A system of this kind is expected to have applications ranging from tracking wellness/fitness to detection of symptoms leading to fatal cardiac events.
以临床决策支持系统为关键组成部分的远程健康监测系统,有可能加快医学专家对患者所经历的严重健康紧急情况的反应速度。一个专门为心脏护理设计的监测系统,以心电图(ECG)信号分析作为核心诊断技术,在早期检测从简单的心律失常到危及生命的状况如心肌梗死等广泛的心脏疾病方面可以发挥至关重要的作用。作者开发的系统由三个主要组件组成,即:(a)部署在患者移动设备上的移动网关,它从任何心电图传感器接收12导联心电图信号;(b)托管用于准确注释和分析心电图信号算法的远程服务器组件;以及(c)医生的床边护理设备,用于基于心电图信号分析从服务器接收诊断报告。在本研究中,他们的重点是开发一个能够使用先进的远程监测系统提前很好地检测关键心脏事件的系统。这种系统预计将有从跟踪健康/健身到检测导致致命心脏事件的症状等一系列应用。