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使用安卓智能手机的便携式心电图设备。

Portable electrocardiogram device using Android smartphone.

作者信息

Brucal S G E, Clamor G K D, Pasiliao L A O, Soriano J P F, Varilla L P M

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:509-512. doi: 10.1109/EMBC.2016.7590751.

Abstract

Portable electrocardiogram (ECG) capturing device can be interfaced to a smart phone installed with an android-based application (app). This app processes and analyses the data sent by the device to provide an interpretation of the patient/user's heart current condition (e.g.: beats per minute, heart signal waveform, R-R interval). The ECG recorded by the app is stored in the smart phone's Secure Digital (SD) card and cloud storage which can be accessed remotely by a physician to aid in providing medical diagnosis. The project aims to help patients living at a far distance from hospitals and experience difficulty in consulting their physician for regular check-ups, and assist doctors in regularly monitoring their patient's heart condition. The hardware data acquisition device and software application were subjected to trials in a clinic with volunteer-patients to measure the ECG and heart rate, data saving speed on the SD card, success rate of the saved data and uploaded file. Different ECG tests using the project prototype were done for 12 patients/users and yielded a reading difference of 7.61% in an R-R interval reading and 5.35% in heart rate reading as compared with the cardiologist's conventional 12-electrode ECG machine. Using the developed ECG device, it took less than 5 seconds to save ECG reading using SD card and approximately 2 minutes to upload via cloud.

摘要

便携式心电图(ECG)采集设备可以与安装了基于安卓应用程序(app)的智能手机相连。该应用程序对设备发送的数据进行处理和分析,以解读患者/用户当前的心脏状况(例如:每分钟心跳次数、心脏信号波形、R-R间期)。应用程序记录的心电图存储在智能手机的安全数字(SD)卡和云存储中,医生可以远程访问这些数据,以辅助进行医疗诊断。该项目旨在帮助居住在远离医院地区、定期找医生进行体检有困难的患者,并协助医生定期监测患者的心脏状况。硬件数据采集设备和软件应用程序在诊所对志愿患者进行了试验,以测量心电图和心率、SD卡上的数据保存速度、保存数据和上传文件的成功率。使用该项目原型对12名患者/用户进行了不同的心电图测试,与心脏病专家的传统12导联心电图机相比,R-R间期读数的差异为7.61%,心率读数的差异为5.35%。使用开发的心电图设备,使用SD卡保存心电图读数不到5秒,通过云上传大约需要2分钟。

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