SISTEM REKAYASA BALIK SINYAL ELEKTROKARDIOGRAM (EKG) REVERSE ENGINEERING SYSTEM of ELECTROCARDIOGRAM (ECG) SIGNAL

A reverse engineering system software of Electrocardiogram signal that can perform ECG signal graph visualization and perform heartbeat sound simulation based on CSV (Comma Separated Value) format ECG record has created. These application utilize a database from PhysioNet site that provides an ECG r...

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Main Authors: , DIMAS AGIL ROESENO K, , Drs. Panggih Basuki, M.Si.
Format: Theses and Dissertations NonPeerReviewed
Published: [Yogyakarta] : Universitas Gadjah Mada 2013
Subjects:
ETD
Online Access:https://repository.ugm.ac.id/124839/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=64999
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Institution: Universitas Gadjah Mada
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spelling id-ugm-repo.1248392016-03-04T08:30:42Z https://repository.ugm.ac.id/124839/ SISTEM REKAYASA BALIK SINYAL ELEKTROKARDIOGRAM (EKG) REVERSE ENGINEERING SYSTEM of ELECTROCARDIOGRAM (ECG) SIGNAL , DIMAS AGIL ROESENO K , Drs. Panggih Basuki, M.Si. ETD A reverse engineering system software of Electrocardiogram signal that can perform ECG signal graph visualization and perform heartbeat sound simulation based on CSV (Comma Separated Value) format ECG record has created. These application utilize a database from PhysioNet site that provides an ECG records. The heart record that consisting of amplitude rows with specific intervals has processed by the application so EKG waveform can be plotted and converted into lub-dub heartbeat sound through WAVPLAY instruction by entering wave amplification and sampe rate input of heart record. System will calculating ECG waveform frequencies within certain period using R wave calculation. This software that was created using MATLAB is expected to be used as a learning tool for users to analyze an ECG signal graph and train users to listening the heartbeat rhythm. Based on test results of 70 samples on existing data in Apnea-ECG Database, this software can do ECG signal visualization that led to the medical diagnosis in the form of 34 samples in the category normal waves, 21 waves with interference, and 15 waves with noise. Based on 55 samples tests in heartbeat simulation, the diagnosis shows 44 samples is a normal heart rhythm sound and 11 other samples having murmur sound inside that indicating an heartbeat anomaly. [Yogyakarta] : Universitas Gadjah Mada 2013 Thesis NonPeerReviewed , DIMAS AGIL ROESENO K and , Drs. Panggih Basuki, M.Si. (2013) SISTEM REKAYASA BALIK SINYAL ELEKTROKARDIOGRAM (EKG) REVERSE ENGINEERING SYSTEM of ELECTROCARDIOGRAM (ECG) SIGNAL. UNSPECIFIED thesis, UNSPECIFIED. http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=64999
institution Universitas Gadjah Mada
building UGM Library
country Indonesia
collection Repository Civitas UGM
topic ETD
spellingShingle ETD
, DIMAS AGIL ROESENO K
, Drs. Panggih Basuki, M.Si.
SISTEM REKAYASA BALIK SINYAL ELEKTROKARDIOGRAM (EKG) REVERSE ENGINEERING SYSTEM of ELECTROCARDIOGRAM (ECG) SIGNAL
description A reverse engineering system software of Electrocardiogram signal that can perform ECG signal graph visualization and perform heartbeat sound simulation based on CSV (Comma Separated Value) format ECG record has created. These application utilize a database from PhysioNet site that provides an ECG records. The heart record that consisting of amplitude rows with specific intervals has processed by the application so EKG waveform can be plotted and converted into lub-dub heartbeat sound through WAVPLAY instruction by entering wave amplification and sampe rate input of heart record. System will calculating ECG waveform frequencies within certain period using R wave calculation. This software that was created using MATLAB is expected to be used as a learning tool for users to analyze an ECG signal graph and train users to listening the heartbeat rhythm. Based on test results of 70 samples on existing data in Apnea-ECG Database, this software can do ECG signal visualization that led to the medical diagnosis in the form of 34 samples in the category normal waves, 21 waves with interference, and 15 waves with noise. Based on 55 samples tests in heartbeat simulation, the diagnosis shows 44 samples is a normal heart rhythm sound and 11 other samples having murmur sound inside that indicating an heartbeat anomaly.
format Theses and Dissertations
NonPeerReviewed
author , DIMAS AGIL ROESENO K
, Drs. Panggih Basuki, M.Si.
author_facet , DIMAS AGIL ROESENO K
, Drs. Panggih Basuki, M.Si.
author_sort , DIMAS AGIL ROESENO K
title SISTEM REKAYASA BALIK SINYAL ELEKTROKARDIOGRAM (EKG) REVERSE ENGINEERING SYSTEM of ELECTROCARDIOGRAM (ECG) SIGNAL
title_short SISTEM REKAYASA BALIK SINYAL ELEKTROKARDIOGRAM (EKG) REVERSE ENGINEERING SYSTEM of ELECTROCARDIOGRAM (ECG) SIGNAL
title_full SISTEM REKAYASA BALIK SINYAL ELEKTROKARDIOGRAM (EKG) REVERSE ENGINEERING SYSTEM of ELECTROCARDIOGRAM (ECG) SIGNAL
title_fullStr SISTEM REKAYASA BALIK SINYAL ELEKTROKARDIOGRAM (EKG) REVERSE ENGINEERING SYSTEM of ELECTROCARDIOGRAM (ECG) SIGNAL
title_full_unstemmed SISTEM REKAYASA BALIK SINYAL ELEKTROKARDIOGRAM (EKG) REVERSE ENGINEERING SYSTEM of ELECTROCARDIOGRAM (ECG) SIGNAL
title_sort sistem rekayasa balik sinyal elektrokardiogram (ekg) reverse engineering system of electrocardiogram (ecg) signal
publisher [Yogyakarta] : Universitas Gadjah Mada
publishDate 2013
url https://repository.ugm.ac.id/124839/
http://etd.ugm.ac.id/index.php?mod=penelitian_detail&sub=PenelitianDetail&act=view&typ=html&buku_id=64999
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