Real time ECG on internet using Raspberry Pi

P. Patil, Kalyani Bhole
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引用次数: 12

Abstract

The current status of heart disease in India is alarming, with projections suggesting that by the year 2020, the population of heart patients in India will surpass all the countries. Thus, monitoring the electrical activity of heart i.e. electrocardiogram is a necessity rather than luxury. ECG machines available in hospital are rather expensive. This paper aims at charting the ECG signal using the Raspberry Pi Arm processor. The ECG signals are recorded from the patient via the AD8232 ECG module and then this data is digitized using serial ADC MCP3008. The processor maps the signal on an online graphics tool plotl.ly using python programming. The main advantage of this system is that the result can be viewed at any place at any time. In this way, Internet of Things (IOT) concept is used to diagnose the heart defect and abnormalities in ECG without involving expensive ECG machines.
实时心电图在互联网上使用树莓派
印度目前的心脏病状况令人担忧,预测表明,到2020年,印度的心脏病患者人数将超过所有国家。因此,监测心脏的电活动,即心电图是必要的,而不是奢侈的。医院里的心电图机相当昂贵。本文的目的是利用树莓派Arm处理器绘制心电信号。通过AD8232心电图模块记录患者的心电信号,然后使用串行ADC MCP3008对这些数据进行数字化处理。处理器将信号映射到在线图形工具绘图图上。Ly使用python编程。该系统的主要优点是可以在任何地点、任何时间查看结果。通过这种方式,利用物联网(IOT)概念来诊断心脏缺陷和心电图异常,而无需使用昂贵的心电图机。
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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