Study of fuzzy systems with Sugeno and Mamdani-type fuzzy inference systems for determination of heartbeat cases on Electrocardiogram (ECG) signals
by Arjuna Marzuki; Song Ying Tee; Sadegh Aminifar
International Journal of Biomedical Engineering and Technology (IJBET), Vol. 14, No. 3, 2014

Abstract: This paper discusses the suitability of implementing Sugeno- and Mamdani-type FISs for heartbeat case determination based on the Electrocardiogram (ECG) signals. The heartbeat cases are Normal Sinus Rhythm (NORM), Left Bundle Branch Block (LBBB), Right Bundle Branch Block (RBBB), Ventricular Premature Contractions (VPC) and Atrial Premature Contractions (APC). Overall, fuzzy system with Sugeno-type FIS was developed based on the FL method used in a paper. System modifications were carried out to create an alternative system for the application, implemented using Mamdani-type FIS. Both systems were verified with 3000 sets of random data for systems' performance comparison. Sugeno's system sensitivities in determining each heartbeat case are 100%, which leads to a TCA value of 100%, whereas in Mamdani's system, the sensitivities are all 100%, except for NORM heartbeat case which is 99.8% and thus TCA value is 99.9667%. It is also found that the Sugeno's system processing time is always less compared to Mamdani's system.

Online publication date: Thu, 16-Oct-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Biomedical Engineering and Technology (IJBET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com