Analysis Of ECG Based On Chaotic Detection Theory For Weak Signals

Chaotic oscillator detection for weak signal belongs to an important application of Chaos theory in information science, chaos system is sensitive to weak signals and immune to noise, which make chaos have good prospects and a great progress in signal detection technique. There are three kinds of methods in detection for weak signals based on chaos: one is based on phase transition of the chaotic system, another is based on power spectrum of the chaotic system, and the other is to use some characteristic exponent of the system. Both the two weak signal detection methods are dependent on the property of the system at the critical value.In this paper, we used these three methods (Lyapunov Characteristic exponent, Power Spectrum, phase space reconstruction) to detection weak ECG signals under strong noise. The ECG signals under strong noise and elimination of noise, the power spectrum have lot of spectrum peak and melting it, have appeared chaotic feature; in the phase space, attractor changed with time, and the strange attractor both shows the fractal characteristics in the end; the both two largest Lyapunov exponents are greater than zero, the ECG signals is chaotic motion. So electric activity of human heart displayed strong. chaotic characteristics and verify that chaos detection theory can control the influence of noises.