Mobile ECG acquisition device for early diagnosis based on Pan-Tompkins algorithm

In recent years, the usage of mobile electrocardiogram (ECG) devices has drawn much attention not only to in house patients but to home patients as well. The devices are truly useful for cardiac patients who need continuous monitoring while they are engaged in daily activities. The portable ECG devi...

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Main Author:	Khairuzzaman, Nur Izyan
Format:	Thesis
Language:	English
Published:	2018
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/79461/1/NurIzyanKhairuzzamanMFKE2018.pdf
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id	my-utm-ep.79461
record_format	uketd_dc
spelling	my-utm-ep.794612018-10-31T12:39:29Z Mobile ECG acquisition device for early diagnosis based on Pan-Tompkins algorithm 2018 Khairuzzaman, Nur Izyan TK Electrical engineering. Electronics Nuclear engineering In recent years, the usage of mobile electrocardiogram (ECG) devices has drawn much attention not only to in house patients but to home patients as well. The devices are truly useful for cardiac patients who need continuous monitoring while they are engaged in daily activities. The portable ECG devices particularly facilitate real time ECG recording and analysis for further examination by the doctors. This project focuses on implementing a mobile ECG acquisition device using Arduino UNO, Bluetooth HC-05 and AD8232 Heart Rate Monitor. Pan-Tompkins algorithm is used for QRS complex detection in order to classify the ECG signals either as normal or abnormal that is useful for early diagnosis. The goal of interest is to obtain a correct detection of QRS complex with high accuracy. Thus, the Pan-Tompkins algorithm is suitable as it is a well-known, simple yet efficient method in detecting QRS complexes accurately. The device acquires a Bluetooth technology to send raw data of ECG signal to Android smartphone. The ECG signals are displayed on the mobile interface and then the ECG signal analysis will be carried out by developing the Java-based Android application. The application will offer ECG processing techniques including R-R interval and QRS duration parameter extraction analysis. This device provides three ECG electrodes using Lead II placement for recording. The traces of the ECG leads are then plotted by the app. After that, the ECG data are saved as text files in the phone storage. The users also can view their history records of the previous ECG recording. The mobile app can capture and plot the incoming ECG signals from the remote device. The results shown that for a normal ECG signals, it will have the following parameters; heart rate of 60 to 100 beats per second, R-R interval duration of 0.4s to 1.2s, and QRS duration of 0.06s to 0.10s; else it will considered as abnormal signal. 2018 Thesis http://eprints.utm.my/id/eprint/79461/ http://eprints.utm.my/id/eprint/79461/1/NurIzyanKhairuzzamanMFKE2018.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Electrical Engineering Faculty of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Khairuzzaman, Nur Izyan Mobile ECG acquisition device for early diagnosis based on Pan-Tompkins algorithm
description	In recent years, the usage of mobile electrocardiogram (ECG) devices has drawn much attention not only to in house patients but to home patients as well. The devices are truly useful for cardiac patients who need continuous monitoring while they are engaged in daily activities. The portable ECG devices particularly facilitate real time ECG recording and analysis for further examination by the doctors. This project focuses on implementing a mobile ECG acquisition device using Arduino UNO, Bluetooth HC-05 and AD8232 Heart Rate Monitor. Pan-Tompkins algorithm is used for QRS complex detection in order to classify the ECG signals either as normal or abnormal that is useful for early diagnosis. The goal of interest is to obtain a correct detection of QRS complex with high accuracy. Thus, the Pan-Tompkins algorithm is suitable as it is a well-known, simple yet efficient method in detecting QRS complexes accurately. The device acquires a Bluetooth technology to send raw data of ECG signal to Android smartphone. The ECG signals are displayed on the mobile interface and then the ECG signal analysis will be carried out by developing the Java-based Android application. The application will offer ECG processing techniques including R-R interval and QRS duration parameter extraction analysis. This device provides three ECG electrodes using Lead II placement for recording. The traces of the ECG leads are then plotted by the app. After that, the ECG data are saved as text files in the phone storage. The users also can view their history records of the previous ECG recording. The mobile app can capture and plot the incoming ECG signals from the remote device. The results shown that for a normal ECG signals, it will have the following parameters; heart rate of 60 to 100 beats per second, R-R interval duration of 0.4s to 1.2s, and QRS duration of 0.06s to 0.10s; else it will considered as abnormal signal.
format	Thesis
qualification_level	Master's degree
author	Khairuzzaman, Nur Izyan
author_facet	Khairuzzaman, Nur Izyan
author_sort	Khairuzzaman, Nur Izyan
title	Mobile ECG acquisition device for early diagnosis based on Pan-Tompkins algorithm
title_short	Mobile ECG acquisition device for early diagnosis based on Pan-Tompkins algorithm
title_full	Mobile ECG acquisition device for early diagnosis based on Pan-Tompkins algorithm
title_fullStr	Mobile ECG acquisition device for early diagnosis based on Pan-Tompkins algorithm
title_full_unstemmed	Mobile ECG acquisition device for early diagnosis based on Pan-Tompkins algorithm
title_sort	mobile ecg acquisition device for early diagnosis based on pan-tompkins algorithm
granting_institution	Universiti Teknologi Malaysia, Faculty of Electrical Engineering
granting_department	Faculty of Electrical Engineering
publishDate	2018
url	http://eprints.utm.my/id/eprint/79461/1/NurIzyanKhairuzzamanMFKE2018.pdf
_version_	1747818231895162880

Mobile ECG acquisition device for early diagnosis based on Pan-Tompkins algorithm

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