loading page

A Takagi-Sugeno Fuzzy Model-Based Tracking Framework to Regulate Heart Rhythm Dynamics
  • +2
  • Jairo Moreno-Saenz ,
  • Ying-Jen Chen ,
  • Kazuo Tanaka ,
  • José Luis Aragón ,
  • Mario Alan Quiroz-Juárez
Jairo Moreno-Saenz
The University of Electro-Communications, The University of Electro-Communications

Corresponding Author:[email protected]

Author Profile
Ying-Jen Chen
Author Profile
Kazuo Tanaka
Author Profile
José Luis Aragón
Author Profile
Mario Alan Quiroz-Juárez
Author Profile

Abstract

Arrhythmias are conditions characterized by a faster, slower, or irregular heart rhythm. Some of them may be harmless and brief, but others can lead to a sudden cardiac arrest. Thus, procedures that safely restore the normal heartbeat are a matter of interest. Experimental evidence shows that some arrhythmia may have an origin in chaotic dynamics; therefore, this paper describes a multivariable feedback control method to regulate heart rhythm-like dynamics in a master-slave framework. Since there is no consensus on the equations describing the cardiac dynamics, we use a phenomenological model that generates a variety of electrocardiogram-like signals and represent it in a Takagi-Sugeno fuzzy form. We provide control design conditions to achieve the tracking control for a nominal and an uncertain slave system. The results suggest that our closed-loop control scheme can get the heart rhythm dynamics from a non-desirable situation back to a normal behavior given by the reference system. Our approach reveals a proof of concept to suppress pathological behaviors in the heart dynamics that could lead to implementation in cardiac devices.
2023Published in IEEE Access volume 11 on pages 47223-47235. 10.1109/ACCESS.2023.3274809