The Method of Smart Monitoring and Detection of Sleep Apnea of the Patient out of the Medical Institution

Abstract The work presents a set of significant indicators and a method of detection of sleep apnea episodes based on the cardiovascular and respiratory systems’ state analysis by ECG signal, pulse wave signals and respiratory movements signals. The algorithms of biological signal processing based on wavelet analysis for studying the dynamics of indicators important for diagnosis in time and spectral range, an algorithm for detecting apnea episodes, which allows to differentiate sleep apnea of central and obstructive type, are given. The proposed algorithms are based on the method of smart monitoring of sleep apnea, which allows to identify episodes of sleep apnea during the patient’s stay outside the hospital.