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dc.contributor.authorMurugappan, M., Dr.
dc.contributor.authorThirumani, Reena
dc.contributor.authorMohammad Iqbal, Omar@Ye Htut, Assoc. Prof. Dr.
dc.contributor.authorMurugappan, Subbulakshmi
dc.date.accessioned2014-05-19T10:20:16Z
dc.date.available2014-05-19T10:20:16Z
dc.date.issued2014-03
dc.identifier.citationp. 100-105en_US
dc.identifier.isbn978-1-4799-3090-6
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6805729&tag=1
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/34514
dc.descriptionProceeding of The Proceeding of the 10th International Colloquium on Signal Processing & Its Applications (CSPA 2014) at Kuala Lumpur, Malaysia on 7 March 2014 until 9 March 2014. Link to publisher's homepage at http://ezproxy.unimap.edu.my:2080/Xplore/dynhome.jspen_US
dc.description.abstractThe 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.en_US
dc.language.isoenen_US
dc.publisherIEEE Conference Publicationsen_US
dc.relation.ispartofseriesProceeding of the 10th International Colloquium on Signal Processing & Its Applications (CSPA 2014);
dc.subjectData acquisition systemen_US
dc.subjectECGen_US
dc.subjectLabVIEWen_US
dc.subjectNational Instruments (NI)en_US
dc.titleDevelopment of cost effective ECG data acquisition system for clinical applications using LabVIEWen_US
dc.typeWorking Paperen_US
dc.identifier.url10.1109/CSPA.2014.6805729
dc.contributor.urlmurugappan@unimap.edu.myen_US
dc.contributor.urliqbalomar@unimap.edu.myen_US
dc.contributor.urlsubbulakshmi@unimap.edu.myen_US


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