Computer visualization in breathing curve analysis

The aim. To study the features of the breathing process based on the breathing curve analysis in patients with various forms of bronchial asthma using computer visualization methods.Material and Methods. The experimental data comprised breathing curves registered with the MONITOR device in patients with various bronchial asthma types and a group of apparently healthy people. The original algorithm of spectral-time analysis was used to identify the characteristic features of the breathing curves in each group at the stage of digital processing.Results. Breathing curves were analyzed and typical images were obtained for the group of apparently healthy individuals and four groups of patients with various types of bronchial asthma (following the classification of E.V. Nemerov). Conclusion. A spectral-time analysis allowed us to obtain characteristic “single” graphical images of the breath curve in patients with various forms of bronchial asthma. The resulting images can be used as an additional diagnostic criterion. The algorithm proposed by the authors can also be used in the analysis of any other biosignals.