Development of an adaptive bandwidth filter for the estimation of respiratory parameters using a piezoelectric belt

Respiration rate is one of the most important physiological parameters to estimate clinical conditions or to monitor respiration during sport activities. Therefore, it is necessary to develop integrated devices with different acquisition processes with the main purpose of balancing noninvasive methods and reliable results. In this paper, the respiratory signal is acquired by a piezoelectric belt and analyzed by an innovative algorithm that takes advantages of an adaptive bandwidth filter to identify respiration condition and quantify respiratory rate. A DAQ board is used for the acquisition of samples which is connected to a PC's USB port. Medical decision support is provided by clinical classification based on the estimation of the breath rate; moreover, through detection of outliers, the proposed algorithm could point out moments of dyspnea.