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Fig. 1 | BioMedical Engineering OnLine

Fig. 1

From: Machine learning associated with respiratory oscillometry: a computer-aided diagnosis system for the detection of respiratory abnormalities in systemic sclerosis

Fig. 1

Mean values ± 95% confidence interval of each FOT parameter. Control group (CG), patients with sclerosis and normal spirometry (PSNS), and patients with sclerosis and altered spirometry (PSAS). The analysis of variance (ANOVA) showed that all parameters presented a significant difference in their respective mean values (p < 0.001)

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BioMedical Engineering OnLine

ISSN: 1475-925X

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