文献类型： 会议论文
第一作者： Q. Zhang
作者： Q. Zhang 1 ; C.O. Francisco 2 ; M. Kabir 2 ; J. Zhang 3 ; N. Montazeri 2 ; Babak Taati 4 ; A. Yadollahi 4 ;
作者机构： 1.Electrical & Computer Engineering Department, University of Toronto, and KITE, Toronto Rehabilitation Institute, University Health Network, ON 35 Canada
2.KITE, Toronto Rehabilitation Institute, University Health Network, ON 35 Canada
3.Engineering Science Department, University of Toronto, ON Canada
4.Institute of Biomaterial & Biomedical Engineering, University of Toronto, and KITE, Toronto Rehabilitation Institute, University Health Network, ON 35 Canada
关键词： During CPET;Determine Respiratory;CPET
会议名称： International Conference of the IEEE Engineering in Medicine and Biology Society
主办单位：
页码： 4650-4653
摘要： This study aimed to extract respiratory signal from tracheal sound recordings during cardio-pulmonary exercise test (CPET), which is the state-of-the-art diagnosis of cardiovascular and respiratory diseases. However, the availability of CPET is limited due to its expense. Physiological signal analysis is a convenient alternative to measure clinical parameters. We collected data from 30 healthy adults and applied wavelet transform thresholding (WTT), empirical mode decomposition (EMD), and Synchrosqueezing transform filtering (SST) to de-noise the raw data. Signal to noise ratio (SNR) was calculated as a quantitative measure of signal quality. We observed that SST yielded the highest SNR and introduced lowest signal distortion by visual-auditory inspection. Respiratory rate was then determined using the signal extracted by SST. Discrepancy of respiratory rate determined from the signal and the gold standard CPET was within 1.2 breaths per minute. In conclusion, SST effectively removed noises in tracheal sound recorded during CPET and provided analyzable respiratory signal for clinical parameter determination.
分类号： r318-532
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