The following information was submitted:
Transactions: INTERNATIONAL JOURNAL of BIOLOGY and BIOMEDICAL ENGINEERING
Transactions ID Number: 19-412
Full Name: Lai Khin Wee
Position: Researcher
Age: ON
Sex: Male
Address: FKBSK, Universiti Teknologi Malaysia
Country: MALAYSIA
Tel: 0049-15774853251
Tel prefix:
Fax:
E-mail address: laikw2@gmail.com
Other E-mails: khinwee@yahoo.com, eko@utm.my, khinwee@daad-alumni.de
Title of the Paper: Electrocardiogram Data Capturing System and Computerized Digitization using Image Processing Techniques
Authors as they appear in the Paper: Lai Khin Wee, Yeo Kee Jiar, Eko Supriyanto
Email addresses of all the authors: laikw2@gmail.com, eko@utm.my, khinwee@daad-alumni.de
Number of paper pages: 8
Abstract: Electrocardiogram (ECG) is one of the most widely used diagnostic tools for heart diseases nowadays. Nevertheless, the accurate ECG interpretation is essentially required in order to evaluate the valuable information inside the ECG signal. The conventional technique of visual analysis to inspect the ECG signals by doctors or physicians are not effective and time consuming. Therefore, an automatic system which involves digital signal integration and analysis is required. This paper presents the developed software for image capturing from ECG machine by using digital webcam camera and performing analysis on the captured ECG graph in display before sending through the internet network. The implementation of this project is using MATLAB mathematical software (version 7) as well as the signal and image processing toolbox. Test results show that this software able to extract information from ECG image or video based file and the system manage to determine heart rate of c!
aptured ECG accurately.
Keywords: Electrocardiogram (ECG), peak detection, QRS detection, RR intervals, signal transmission, system
EXTENSION of the file: .pdf
Special (Invited) Session: Electrocardiogram Display Data Capturing and Digitization Based on Image Processing Techniques
Organizer of the Session: 647-306
How Did you learn about congress: Lai Khin Wee
IP ADDRESS: 84.174.80.58
