Abstract
The Lyapunov exponents of synchronous 12-lead ECG signals have been investigated for the first time using a multi-sensor (electrode) technique. The results show that the Lyapunov exponents computed from different locations on the body surface are not the same, but have a distribution characteristic for the ECG signals recorded from coronary artery disease (CAD) patients with sinus rhythms and for signals from healthy older people. The maximum Lyapunov exponent L 1 of all signals is positive. While all the others are negative, so the ECG signal has chaotic characteristics. With the same leads, L 1 of CAD patients is less than that of healthy people, so the CAD patients and healthy people can be classified by L 1, L 1 therefore has potential values in the diagnosis of heart disease.
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