Cardiovascular diseases (CVDs) are the number one cause of death worldwide. While there is growing evidence that the atrial fibrillation (AF) has strong associations with various CVDs, this heart arrhythmia is usually diagnosed using electrocardiography (ECG) which is a risk-free, non-intrusive, and cost-efficient tool. Continuously and remotely monitoring the subjects' ECG information unlocks the potentials of prompt pre-diagnosis and timely pre-treatment of AF before the development of any life-threatening conditions/diseases. Ultimately, the CVDs associated mortality could be reduced. In this manuscript, the design and implementation of a personalized healthcare system embodying a wearable ECG device, a mobile application, and a back-end server are presented. This system continuously monitors the users' ECG information to provide personalized health warnings/feedbacks. The users are able to communicate with their paired health advisors through this system for remote diagnoses, interventions, etc. The implemented wearable ECG devices have been evaluated and showed excellent intra-consistency (CVRMS=5.5%), acceptable inter-consistency (CVRMS=12.1%), and negligible RR-interval errors (ARE<1.4%). To boost the battery life of the wearable devices, a lossy compression schema utilizing the quasi-periodic feature of ECG signals to achieve compression was proposed. Compared to the recognized schemata, it outperformed the others in terms of compression efficiency and distortion, and achieved at least 2x of CR at a certain PRD or RMSE for ECG signals from the MIT-BIH database. To enable automated AF diagnosis/screening in the proposed system, a ResNet-based AF detector was developed. For the ECG records from the 2017 PhysioNet CinC challenge, this AF detector obtained an average testing F1=85.10% and a best testing F1=87.31%, outperforming the state-of-the-art.
翻译:心血管疾病(CVDs) 是全世界最大的死亡原因。 虽然越来越多的证据表明, 月际纤维化(AF) 与各种CVDs有着紧密的联系, 但通常会使用无风险、无侵扰和成本效率的工具来诊断心脏心律失常。 持续和远程监测对象的ECG信息可以释放在任何危及生命的状态/疾病发展之前对AF进行快速预诊断和及时预处理的潜力。 最终, CVD1 相关死亡率可以降低。 在这个手稿中, 个人化的保健系统的设计和实施包含可磨损的ECG设备、 一个移动应用程序和一个后端服务器。 这个系统持续监测用户的ECG信息, 提供个性化的健康警报/反馈。 用户能够通过这个系统与配对的FG顾问沟通远程诊断、 干预等。 已经实施过的ECG设备已经进行了评估,并且显示在内部(C) 内部- IMFMER5 和内部(C) 稳定度测试(C 已经实现某种货币- 和内部的 RARCU5) 。