Analysis of Oscillatory Behavior of Heart by Using a Novel Neuroevolutionary Approach

• Main Authors: Adnan Khan, Muhammad Sulaiman, Hosam Alhakami, Ahmad Alhindi
• Format: Article
• Language: English
• Published: IEEE 2020-01-01
• Series: IEEE Access
• Subjects: Cardiac pulse model; hybridized soft computing; artificial neural networks; non-linear ordinary differential equations; heuristics; interior-point algorithm
• Online Access: https://ieeexplore.ieee.org/document/9086015/

This paper aims at the analysis of the VdP heartbeat mathematical model. We have analysed the conditionality of a mathematical model which represents the oscillatory behaviour of the heart. A novel neuroevolutionary approach is chosen to analyse the mathematical model. The characteristics of the cardiac pulse of the heart are examined by considering two major scenarios with sixteen different cases. Artificial neural networks (ANNs) are constructed to obtain the best solutions for the heartbeat model. Unknown weights are finely tuned by a combination of a global search technique the Harris Hawks Optimizer (HHO) and a local search technique the Interior Point Algorithm (IPA). Stable behaviour of solutions obtained by considering different cases demonstrates that the model under consideration is well-conditioned. The accuracy of our novel procedure is established by getting the lowest residual errors in our solution for all cases. Graphical and statistical analysis are added to further elaborate the accuracy of our approach.