With heart diseases, and associated complications, being one of the major causes of death
around the world, and in spite of decreased mortality rate, detection of irregularities in the rhythms
of the heart is a growing field in medical research. Extended patient monitoring during normal
activity has become increasingly important as a standard preventive cardiological procedure for
detection of cardiac conditions. This project presents a development platform for portable real-time
ECG Monitoring System which can be used as an advanced warning device. This paper briefly
discusses an ECG data capture unit, with an emphasis on the software for analyzing the P -wave,
QRS complex, and T-wave in ECG signals.
Real time monitoring plays an important role in biomedical engineering, Particularly in
ECG, EMG, EEG etc. personal computer have become a standard platform for the needs of various
measurement and test, standardization, performance and low cost. Use of PC in so called personal
and virtual instrumentation developments enables realization of a new generation of superior
devices. With their performance, this is becoming ever higher and with the increasing number of
software applications they are widely accepted as an essential tool on desk of engineer. The use of
LabVIEW and data acquisition in biomedical makes the real time monitor systems with very high
performance, low cost of development, more reliable and flexible. LabVIEW is general purpose
software for virtual instrumentation. With LabVIEW the maintenance and reconfiguration of
created instruments are reduced significantly. PC based virtual instrumentation as a testing platform
enabling recording of real time ECG introduces identification of ECG and transmission of
preprocessed data to a doctor through a distributed computation network has been proposed. In this
GUI of the system has been developed in LabVIEW. The intelligent virtual ECG device by
integrating wavelet algorithm for QRS detection, recording and identification with the facilities of
the detection of heart rhythm and off line analysis of prerecorded ECG signal has been proposed.
Besides all these development in biomedical engineering, the designed system in paper facilitates
the automatic removal of noises and filtration of acquired signal on virtual cardiographs and this
system can be used for analysis, identification of peak QRS.
Microcontroller based DAQ module is used for the acquisition of ECG signal from ECG
board tothe PC/Laptop and LabVIEW 8.0 professional/Higher development tool is used to designed
the system. The designed system is advantageous in automatic removal of noises and filtration of
acquired signal on virtual cardiographs.
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