INTRODUCTION: Polysomnography (PSG) is considered the gold standard in the diagnosis of sleep disordered breathing (SDB). Because of costs and labor-intensity it is, however, performed last in graded diagnostic protocols that often involve respiratory pressure measurements via nasal canula as an alternative sensitive method for SDB detection. MicroMESAM, a newly developed screening device based on this method, allows automated analysis of apnoeas, hypopnoeas and snoring. AIM AND METHODS: To validate the device, we first compared signal quality of MicroMESAM flow-time curves with those generated by a pneumotachograph. Then, in 50 patients suspected of having obstructive sleep apnoea, we compared MicroMESAM-generated automated analysis with manually scored results of simultaneously collected PSG data. RESULTS: MicroMESAM-generated flow-time curves correspond with pneumotachograph-generated curves in 95% of respiratory events, resulting in less 4 +/- 2% difference in respective area under the curves. MicroMESAM and PSG generated numbers of apnoeas (r = 0.99) and hypopnoea (r = 0.81), as well as AHI (r = 0.98) correlated highly, displaying mean differences in AHI of 3.8, and in 1.96 sigma interval of + 11.1 to - 3.5/h. Sensitivities and specificities for SDB were 97.3%, respective 46% at SDB-defining AHI of 5, and 100%, respective 87.5%, at SDB-defining AHI of 10. SUMMARY: MicroMESAM-generated flow-time curves correspond well with pneumotachograph generated curves, producing automated AHIs that are highly sensitive in detecting SDB. MicroMESAM, therefore, is suitable as a screening device for SDB.