Suppr超能文献

一种新型基于智能手机的即时检测系统,用于监测心脏和呼吸系统。

A Novel Point-of-Care Smartphone Based System for Monitoring the Cardiac and Respiratory Systems.

机构信息

Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA, USA.

Cardiology Division, Emory University School of Medicine, Atlanta, GA, USA.

出版信息

Sci Rep. 2017 Mar 22;7:44946. doi: 10.1038/srep44946.

Abstract

Cardio-respiratory monitoring is one of the most demanding areas in the rapidly growing, mobile-device, based health care delivery. We developed a 12-lead smartphone-based electrocardiogram (ECG) acquisition and monitoring system (called "cvrPhone"), and an application to assess underlying ischemia, and estimate the respiration rate (RR) and tidal volume (TV) from analysis of electrocardiographic (ECG) signals only. During in-vivo swine studies (n = 6), 12-lead ECG signals were recorded at baseline and following coronary artery occlusion. Ischemic indices calculated from each lead showed statistically significant (p < 0.05) increase within 2 min of occlusion compared to baseline. Following myocardial infarction, spontaneous ventricular tachycardia episodes (n = 3) were preceded by significant (p < 0.05) increase of the ischemic index ~1-4 min prior to the onset of the tachy-arrhythmias. In order to assess the respiratory status during apnea, the mechanical ventilator was paused for up to 2 min during normal breathing. We observed that the RR and TV estimation algorithms detected apnea within 7.9 ± 1.1 sec and 5.5 ± 2.2 sec, respectively, while the estimated RR and TV values were 0 breaths/min and less than 100 ml, respectively. In conclusion, the cvrPhone can be used to detect myocardial ischemia and periods of respiratory apnea using a readily available mobile platform.

摘要

心肺监测是快速发展的、基于移动设备的医疗保健领域中最具挑战性的领域之一。我们开发了一种 12 导联智能手机心电图(ECG)采集和监测系统(称为“cvrPhone”),以及一种应用程序,该应用程序仅通过分析心电图(ECG)信号来评估潜在的缺血,并估计呼吸率(RR)和潮气量(TV)。在体内猪研究中(n=6),在基线和冠状动脉闭塞后记录 12 导联 ECG 信号。与基线相比,每个导联计算出的缺血指数在闭塞后 2 分钟内显示出统计学上的显著增加(p<0.05)。在心肌梗死后,自发性室性心动过速发作(n=3)之前,缺血指数在心动过速心律失常发作前约 1-4 分钟显著增加(p<0.05)。为了评估呼吸暂停期间的呼吸状态,在正常呼吸期间,机械呼吸机暂停长达 2 分钟。我们观察到,RR 和 TV 估计算法在 7.9±1.1 秒和 5.5±2.2 秒内分别检测到呼吸暂停,而估计的 RR 和 TV 值分别为 0 次/分钟和小于 100ml。总之,cvrPhone 可用于使用现成的移动平台检测心肌缺血和呼吸暂停期。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e97a/5361153/495ddf309592/srep44946-f1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验