ABSTRACT: BACKGROUND: The measurement of cough frequency is problematic and most often based on subjective assessment. The aim of the study was to assess the accuracy of the automatic identification of cough episodes by LR102, a cough frequency meter based on electromyography and audio sensors. METHOD: Ten adult patients complaining of cough were recruited in primary care and hospital settings. Participants were asked to wear LR102 for 4 consecutive hours during which they were also filmed. RESULTS: Measures of cough frequency by LR102 and manual counting were closely correlated (r=0.87 for number of cough episodes per hour; r=0.89 for number of single coughs per hour) but LR102 overestimated cough frequency. Bland-Altman plots indicate that differences between the two measurements were not influenced by cough frequency. CONCLUSIONS: LR102 offers a reliable estimate of cough frequency in adults in their own environment, while significantly reducing the time required for analysis.