Bio-Inspired Nonlinear Oscillator Based on ECG and EEG Bio-Emulator Signals


Çabuker A. C., Parlar İ.

IJANSER-International Journal of Advanced Natural Sciences and Engineering Researches, cilt.10, sa.2, ss.20-26, 2026 (Hakemli Dergi)

Özet

Nonlinear signals have been extensively utilized in encryption and decryption applications,

representing a significant area of research within chaos theory. Such signals are highly sensitive to initial

conditions and system parameters; consequently, even minor variations in the underlying mathematical

formulation can produce substantially different nonlinear waveforms, a phenomenon commonly referred to

as the butterfly effect. Electrocardiographic (ECG) signals, which reflect the fundamental physiological

activity of the human heart, and electroencephalographic (EEG) signals, which are closely related to

cerebral activity and influenced by blood flow dynamics, also exhibit nonlinear characteristics due to their

intrinsic nonlinear and complex structures. In this study, a novel bio-inspired nonlinear oscillator with two

outputs is proposed, incorporating ECG and EEG signals. Unlike classical nonlinear oscillators reported in

the literature, such as the Chua, Sprott, and Lorenz systems, which are primarily based on idealized

mathematical models, the proposed oscillator integrates physiological signal dynamics. This integration

enables the generation of distinct nonlinear signals corresponding to different heart rhythms for use in

encryption and decryption processes, thereby enhancing the robustness and security of data transmission.