Towards Opportunistic Electrocardiography (ECG) Sensing in Mobile Devices

Tiago Almeida Bolaños, H. P. da Silva
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Abstract

Cardiovascular diseases are the leading cause of death worldwide, which leads to a demand in new diagnostic tools for heart health monitoring11Santo, K. and Redfern, J. (2020) “Digital Health Innovations to improve cardiovascular disease care,” Current Atherosclerosis Reports, 22(12). Available at: https://doi.org/10.1007/s11883-020-00889-x. The main solution offered for personal monitoring has been based on wearable devices focused on heart rate and ElectroCardioGram (ECG) signal, in the form of smartwatches and wrist-worn bands. However, with a global smartphone penetration of 83% there is space for a smart phone integrated device. In this paper, we describe the design and evaluation of a prototype smartphone cover with a built in ECG sensor, using conductive polymeric electrodes. To test the device a concurrent evaluation comparatively to a reference device was made with the help of 12 volunteers. The numerical analysis presented an average Pearson correlation coefficient of 0.824 and, analyzing individual heartbeats, a Pearson correlation coefficient of 0.915.
在移动设备中实现机会性心电图(ECG)传感
心血管疾病是全球死亡的主要原因,这导致对心脏健康监测新诊断工具的需求[11 santo, K. and Redfern, J.](2020)“数字健康创新改善心血管疾病护理”,Current Atherosclerosis Reports, 22(12)。可在:https://doi.org/10.1007/s11883-020-00889-x。个人监测的主要解决方案是基于可穿戴设备,以智能手表和腕带的形式关注心率和心电图(ECG)信号。然而,随着全球智能手机普及率达到83%,智能手机集成设备仍有发展空间。在本文中,我们描述了使用导电聚合物电极的内置心电传感器的智能手机保护套原型的设计和评估。为了测试该装置,在12名志愿者的帮助下,与参考装置进行了并发评估。数值分析显示,平均Pearson相关系数为0.824,分析个体心跳,Pearson相关系数为0.915。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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