Article Per Year (5 Year)
p-Index From 2021 - 2026
0.408
P-Index
This Author published in this journals
All Journal JURNAL INTEGRASI Technologia: Jurnal Ilmiah Jurnal Nasional Teknik Elektro dan Teknologi Informasi Proceeding Applied Business and Engineering Conference
Iman Fahruzi
Politeknik Negeri Batam
Religion Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Transportation Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search
Journal : JURNAL INTEGRASI

 1 
Deteksi Kelainan Jantung Premature Atrial Contractions (PACS) Berbasis Kombinasi Baseline Wander dan Denoising Menggunakan PR Interval Iman Fahruzi
JURNAL INTEGRASI Vol 4 No 2 (2012): Jurnal Integrasi - Oktober 2012
Publisher : Politeknik Negeri Batam

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

Biomedical signals such as heart signals periodically always changing frequencies over time, causing a wave of complexity and heterogeneity. Electrocardiogram (ECG), which is a picture of the heart's electrical potential activity is one of the medical tools that are widely used to make the diagnosis of heart abnormalities. In this study developed an algorithm to detect cardiac abnormalities premature based on the characteristics of ECG signal form the subject of study heart defect Atrial premature contractions (PACs). Testing is done using some data from the MIT-BIH Arrhythmia Database representing some heart abnormalities PACs. The level of accuracy when testing for R peak detection of 99.30% . While the accuracy of detection of heart abnormalities PACs when testing is 93.74%.
Co-Authors I Ketut Eddy Purnama Imam Mulyono Mauridhi Hery Purnomo