DYNAMICS OF CLINICOFUNCTIONAL INDICES IN PATIENTS WITH CEREBRAL SPASTIC INFANTILE PARALYSIS AGAINST THE BACKGROUND OF COMPLEX THERAPY USING FUNCTIONAL ELECTROSTIMULATION IN SANATORIUM CONDITIONS Academic Article uri icon

abstract

  • Aim. The present work was aimed at development of the technique for computerized diagnosis of pediatric bronchial asthma based on analysis of respiratory noises. Materials and methods. Computerized system for respiratory noise recording was used to receive sound signals from three points located in the mouth, above the trachea and above the right lung (on the front surface of the chest) in 51 pupils (aged 11,2 ± 3,2 years) suffering from bronchial asthma and in 22 healthy volunteers (aged 11,6 ± 2,5 years). Record of patient’s respiratory noises was fulfilled using electronic device with subsequent computational investigation of specific spectral characteristics of this sound. The technique for computerized diagnosis, permitting to perfect the possibilities of respiratory noise processing by means of fast Fourier transport (FFT), is offered in the paper. The suggested technique can be used for diagnosis of bronchoobstructive syndrome (BOS) in children with bronchial asthma. Results. There were suggested empirical criteria for balancing parameters of FFT spectrum, which allow us to develop software for automatic diagnosis of pediatric bronchial asthma. It was also indicated that computerized analysis of the respiratory noise spectrum power is of great diagnostic value (AUV varies from 0.783 to 0.895). The offered approach can be used for diagnosis of bronchial asthma (mainly in the oral cavity points and above the trachea) and for differential diagnosis between BA and other pulmonary diseases in the point above the right upper lobe. Conclusions. The suggested approach to analysis of respiratory noises can become one of additional techniques for BOS diagnosis. It can be used for remote monitoring of asthma patients in the regime of real time, as well as for control of treatment efficiency. Application with program can be inserted into the smartphone or low-cost embedded system for contactless analysis of respiratory noises that is important for remote diagnosis.

publication date

  • January 1, 2015