In this study, an automated signal processing technique, ensemble averaging, provided artifact-free impedance data which permitted analysis during quiet breathing and exercise in normal young male subjects. Moreover, impedance-derived stroke volumes and other cardiac indexes calculated by ensemble-averaging showed close correlation with those calculated by conventional hand digitization methods. The results indicate that ensemble averaging can considerably increase the potential applicability of impedance cardiography.