Design and implementation of 12 Lead ECG signals interpretation system

Author

Mengko, Richard ; Sutjiady, Fredrick

Author_Institution

Biomed. Eng., Inst. of Technol. Bandung, Bandung, Indonesia

fYear

2013

fDate

7-8 Nov. 2013

Firstpage

278

Lastpage

282

Abstract

This paper presents the development of an ECG interpretation software tool that is based on the procedures that is normally done by a medical expert. A set of algorithms is developed here to duplicate the steps that are normally followed manually by a medical expert when analyzing an ECG print out. The software will detect irregularities in the ECG graph and marked it, as a tool to help the medical expert. The experiment is done using the PTB Diagnostic ECG Database (www.physionet.org), and the test is done by comparing its results with the diagnostic notes included in the header of each ECG database file.

Keywords

bioelectric potentials; electrocardiography; medical signal detection; medical signal processing; ECG graph; ECG interpretation software tool; ECG print out analysis; PTB diagnostic ECG database; electrocardiography; lead ECG signal interpretation system; medical expert; Biomedical engineering; Electrocardiography; Electrodes; Heart; Medical diagnostic imaging; Rhythm; Software; ECG signals; QRS assessment; hypertrophy; medical expertise; rhythm determination;

fLanguage

English

Publisher

ieee

Conference_Titel

Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2013 3rd International Conference on

Conference_Location

Bandung

Print_ISBN

978-1-4799-1649-8

Type

conf

DOI

10.1109/ICICI-BME.2013.6698508

Filename

6698508