Development of Electrocardiograph Monitoring System

Electrocardiograph (ECG) monitoring system is one of the diagnostic tools which can help in reduce the risk of heart attack. A cardiologist may be able to determine heart condition from the ECG signal that recorded from subject. The purpose was to design an ECG monitoring system which consists of EC...

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Main Authors: Rosli Khairul Affendi, Omar Mohd. Hafizi, Hasan Ahmad Fariz, Musa Khairil Syahmi, Fadzil Mohd Fairuz Muhamad, Neu Shu Hwei
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201815001013
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spelling doaj-c0c7b9ca10ac481d82aac3bbaf47723b2021-02-02T07:05:15ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011500101310.1051/matecconf/201815001013matecconf_mucet2018_01013Development of Electrocardiograph Monitoring SystemRosli Khairul AffendiOmar Mohd. HafiziHasan Ahmad FarizMusa Khairil SyahmiFadzil Mohd Fairuz MuhamadNeu Shu HweiElectrocardiograph (ECG) monitoring system is one of the diagnostic tools which can help in reduce the risk of heart attack. A cardiologist may be able to determine heart condition from the ECG signal that recorded from subject. The purpose was to design an ECG monitoring system which consists of ECG circuit and digital signal processing system to deny the unwanted signal. In general, the ECG signal is nature weak and only around 1mV amplitude. Therefore filter and amplifier circuits were designed into 3 stages with a total gain of 1000 to bring the signal to around 1V. Circuit designed included of instrumentation amplifier, bandpass filter and notch filter. The frequency bandwidth of ECG is between 0.05Hz until 100Hz. Schematic circuit was tested by software simulation before proceeding to hardware implementation. Simulation analysis was done by using Software Proteus 8 Professional while the further signal processing was done in MATLAB software environment. A PQRST ECG waveform can be seen clearly after digital filtering stage in MATLAB environment. Digital signal processing in MATLAB software included of pre-filtering, Fast Fourier transform and peak detection. As conclusion, the time interval between peaks can be determined automatically which can provide useful information in clinical aspect.https://doi.org/10.1051/matecconf/201815001013
collection DOAJ
language English
format Article
sources DOAJ
author Rosli Khairul Affendi
Omar Mohd. Hafizi
Hasan Ahmad Fariz
Musa Khairil Syahmi
Fadzil Mohd Fairuz Muhamad
Neu Shu Hwei
spellingShingle Rosli Khairul Affendi
Omar Mohd. Hafizi
Hasan Ahmad Fariz
Musa Khairil Syahmi
Fadzil Mohd Fairuz Muhamad
Neu Shu Hwei
Development of Electrocardiograph Monitoring System
MATEC Web of Conferences
author_facet Rosli Khairul Affendi
Omar Mohd. Hafizi
Hasan Ahmad Fariz
Musa Khairil Syahmi
Fadzil Mohd Fairuz Muhamad
Neu Shu Hwei
author_sort Rosli Khairul Affendi
title Development of Electrocardiograph Monitoring System
title_short Development of Electrocardiograph Monitoring System
title_full Development of Electrocardiograph Monitoring System
title_fullStr Development of Electrocardiograph Monitoring System
title_full_unstemmed Development of Electrocardiograph Monitoring System
title_sort development of electrocardiograph monitoring system
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description Electrocardiograph (ECG) monitoring system is one of the diagnostic tools which can help in reduce the risk of heart attack. A cardiologist may be able to determine heart condition from the ECG signal that recorded from subject. The purpose was to design an ECG monitoring system which consists of ECG circuit and digital signal processing system to deny the unwanted signal. In general, the ECG signal is nature weak and only around 1mV amplitude. Therefore filter and amplifier circuits were designed into 3 stages with a total gain of 1000 to bring the signal to around 1V. Circuit designed included of instrumentation amplifier, bandpass filter and notch filter. The frequency bandwidth of ECG is between 0.05Hz until 100Hz. Schematic circuit was tested by software simulation before proceeding to hardware implementation. Simulation analysis was done by using Software Proteus 8 Professional while the further signal processing was done in MATLAB software environment. A PQRST ECG waveform can be seen clearly after digital filtering stage in MATLAB environment. Digital signal processing in MATLAB software included of pre-filtering, Fast Fourier transform and peak detection. As conclusion, the time interval between peaks can be determined automatically which can provide useful information in clinical aspect.
url https://doi.org/10.1051/matecconf/201815001013
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