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The statement that an acoustic signal can be a good tool for assessing breathing during sleep is not revealing and certainly raises no doubts. Based on the experience of technical diagnostics, one can formulate the hypothesis about the suitability of sounds accompanying breathing to infer any specific disorders. The verification of this hypothesis was supported by a research experiment combining the experience of doctors and engineers. The obtained results was used to create the simple application for the initial diagnosis of respiratory problems while sleeping at home. Assuming the minimization of the use of an advanced mathematical apparatus, features that are the symptoms of basic respiratory disorders have been extracted from the signal. Thanks to this approach, the developed tool not only informs about the disorder, but also signals the potential cause of the problem. Thus, the inference procedure that is the basis of a useful application can also support doctors at the stage of preclinical diagnosis.
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