Abstract

Info

Author(s):: ZHAO Junhao1; YANG Huanyu1; DAN Guo1; 2; 1. School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen 518060, China; 2. Shenzhen Institute of Neuroscience, Shenzhen 518057, China

Keywords:: ; Keywords: respiratory detection; breathing motion; angular velocity; respiratory rate; respiratory phase

Abstract:: We studied a convenient and low-cost respiratory signal acquisition method using the angular velocity information of an inertial sensor, and established a verification platform to acquire synchronous signals, with a respiratory carbon dioxide concentration acquisition device as the reference platform. The median filter method was applied to extract the respiratory waveform from the original signal, and the respiratory rate and respiratory phase parameters were extracted by intersection detection technique. The validity of the parameters was verified by comparing the obtained respiratory angular velocity waveforms with the respiratory carbon dioxide concentration waveforms. The test results show that the proposed system can accurately detect the respiratory waveform and extract the respiratory parameters, providing an effective method for respiratory monitoring.