This study identified those harmonics from the frequency spectrum of electrical impedance rheographic signals that discriminate between patients with and without peripheral arterial occlusive disease (PAOD). Ninety-four patients with suspected PAOD were evaluated by impedance rheography and ankle-arm blood pressure index. The leg with the lower ankle-arm index was used in the analysis and a haemodynamically relevant PAOD was assumed at an ankle-arm index lower than 0.85. The frequency spectrum of the impedance signals of the shank was calculated by means of a fast Fourier transformation algorithm. The first ten harmonics were used as independent variables in a stepwise logistic regression analysis to evaluate the dependent variable PAOD. In the regression analysis only the third harmonic was accepted ( P<0.0001). The correct classification of the patients was 90%. In conclusion, by means of Fourier analysis of impedance rheographic signals, a high accuracy in the diagnosis of PAOD can be achieved.