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Development of cost effective ECG data acquisition system for clinical applications using LabVIEW

机译:利用LabVIEW开发临床应用的成本效益ECG数据采集系统

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The main objective of this work is to develop a portable and cost effective data acquisition (DAQ) system for clinical applications. This DAQ consists of several modules such as power supply, analog to digital converter (ADC), amplifiers, isolators, filters and interfacing circuits. The complete data acquisition circuit has been developed using This system mainly aims to collect the ECG signals of frequency between 0.05 Hz and 113 Hz with a gain of 3113. This frequency information from the ECG signal is highly useful clinical applications such as SCA prediction, cardiovascular disease (CVD) detection, etc. ECG signals will be collected from the subjects using 3 leads system and given to DAQ for recording the ECG signal. The acquired signal through this DAQ will then be transferred to the Notebook through NI6008 data acquisition card. This DAQ interface is used to convert the input analog signal to digital signal output and to save the ECG data in the notebook using Labview software. This acquired signal from Labview software is used for further clinical investigation. We also developed a Graphical User Interface (GUI) in LabVIEW software to continuously monitor the ECG signal traces and to record the ECG data with higher precision. The morphology of the acquired ECG signal in the system is highly precise and useful for clinical diagnosis. Furthermore, this proposed system is used for developing sudden cardiac arrest (SCA) prediction in our university.
机译:这项工作的主要目标是开发一种用于临床应用的便携式和经济效益的数据采集(DAQ)系统。此DAQ由多个模块组成,如电源,模数转换器(ADC),放大器,隔离器,滤波器和接口电路。已经使用该系统开发了完整的数据采集电路,主要旨在利用3113的增益来收集0.05Hz和113 Hz之间的ECG信号。来自ECG信号的这种频率信息是SCA预测,心血管等非常有用的临床应用。疾病(CVD)检测等。将使用3个引线系统从受试者收集ECG信号,并给予DAQ以记录ECG信号。然后,通过此DAQ的获取信号将通过NI6008数据采集卡转移到笔记本电脑。此DAQ接口用于将输入模拟信号转换为数字信号输出,并使用LabVIEW软件将Notebook中的ECG数据保存。来自LabVIEW软件的该获取信号用于进一步的临床调查。我们还在LabVIEW软件中开发了一个图形用户界面(GUI),以连续监控ECG信号迹线,并以更高的精度记录ECG数据。在系统中获得的ECG信号的形态非常精确,可用于临床诊断。此外,该提出的系统用于在我们大学中发育突发的心脏骤停(SCA)预测。

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