The Respiration Rate Estimation Method based on the Signal Maximums and Minimums Detection and the Signal Amplitude Evaluation

Abstract

The respiration rate estimation method is developed. The method is based on the signal maximum and minimum values detection and amplitudes evaluation. The high deviations from isoline of the inductance plethysmography sensor signal are caused by the human torso movements. The application of the common filters for the deviations suppression is not acceptable because of the oscillations caused by filters. Detection of signal minimums and maximums is applied in the method. The noise peaks are suppressed by the adaptive moving average filter. The adaptive peak detection window with the variable width is applied for the peak detection. The detected peaks are compared with an adaptive peak threshold. The method is implemented in the C++ language and applied in the system of physiological parameter monitoring. Ill. 10, bibl. 6 (in English; summaries in English, Russian and Lithuanian).