Abstract
Bronchial asthma is a disease that affects an estimated 300 million people of all ages worldwide (Ayres, 2001). Patients with this disease have difficulty breathing accompanied by whistling, coughing, dyspnoea and tightness of the chest; therefore, depending on the severity of the illness, their physical activity is limited to a certain extent (Tell, Pohunek, 2012).
Nowadays, several diagnostic methods for the detection of asthma are developed. Such methods include, for example: spirometry, measurement of peak expiratory velocity or measurement of bronchial reactivity (Teřl, Pohunek, 2012).
Although these methods are, in most cases, accurate enough, they also have certain shortcomings, which will be particularly apparent when diagnosing non-cooperating patients. These are predominantly young children under three years of age.
Such small children are not able to do well with the diagnosis associated and therefore the results of the diagnosis are inaccurate (Skalický, 2016). For this reason, there is an attempt to develop a method of diagnosing asthma and other lung diseases that would not require patient collaboration to obtain accurate results.