Knocikova J, Korpas J, Vrabec M, Javorka M
Institute of Medical Biophysics, Jessenius Faculty of Medicine, Comenius University, Martin, Slovakia.
J Physiol Pharmacol. 2008 Dec;59 Suppl 6:331-40.
Changes in the characteristics of the cough sound may refer to some specific pathological processes and their evolution. In this pilot study we analyzed voluntary cough sound properties in subjects with asthma bronchiale (AB) and chronic obstructive pulmonary disease (COPD) and discriminated them from the control cough sound in healthy subjects. The wavelet transform was used due to a nonstationarity of cough sound recordings. The duration of cough sound was longer during pathological conditions. The longest duration and the highest power of the cough sound were found in COPD. In AB patients, higher frequencies were detected compared with chronic bronchitis and the power of cough sound was shifted to a higher frequency range compared with control coughs. Cough sounds were classified using discriminant analysis with a correct classification rate of about 85-90 %. The method of cough analysis enables an objective quantification of voluntary cough sound with a useful diagnostic and prognostic value.
咳嗽声音特征的变化可能提示某些特定的病理过程及其演变。在这项初步研究中，我们分析了支气管哮喘（AB）和慢性阻塞性肺疾病（COPD）患者的自主咳嗽声音特性，并将其与健康受试者的对照咳嗽声音进行区分。由于咳嗽声音记录的非平稳性，使用了小波变换。在病理状态下，咳嗽声音的持续时间更长。COPD患者咳嗽声音的持续时间最长，功率最高。与慢性支气管炎患者相比，AB患者检测到的频率更高，与对照咳嗽相比，咳嗽声音的功率转移到了更高的频率范围。使用判别分析对咳嗽声音进行分类，正确分类率约为85%-90%。咳嗽分析方法能够对自主咳嗽声音进行客观量化，具有有用的诊断和预后价值。
