DESIGN AND IMPLEMENTATION OF AN EMBEDDED SYSTEM TO ANALYSIS AN ECG SIGNAL FOR HEART DIAGNOSIS SYSTEM

In recent times, Biometric recognition has appeared to be among the applications where there is necessity for privacy of information relating to health care matters. The focus of this study is on embedded Heart disease diagnosis system for individual centered on the Electrocardiographic (ECG) biomet...

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Bibliographic Details
Published in:Journal of Theoretical and Applied Information Technology 2016-09, Vol.91 (2), p.289-289
Main Authors: Basaif, Azmi A, Aljunid, S A, Sabri, Naseer, Omer, M Iqbal, Salim, M S
Format: Article
Language:English
Subjects:
Algorithms
Biometrics
Boards
Design analysis
Diagnosis
Echocardiography
Heart diseases
Platforms
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Summary:In recent times, Biometric recognition has appeared to be among the applications where there is necessity for privacy of information relating to health care matters. The focus of this study is on embedded Heart disease diagnosis system for individual centered on the Electrocardiographic (ECG) biometrics. This proposed real time system design is a diagnostic algorithm that extracts information from the ECG wave signal on architecture based Single Board Computer (SBC) represented by the Raspberry PI Platform. The proposed system is targeted to be free standing, and in situ heart abnormality identifying beside warning system. In addition the system is easy to use in different environments. Preliminary results show the successful implementation in an embedded platform, enabling its usage on a countless of operations.
ISSN:1817-3195