Wavelet signal extraction using an oximetry based perfusion sensor

机译：使用基于血氧icry的灌注传感器小波信号提取

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A sensor has been developed that uses multiple source excitation to measure blood perfusion in transplanted organs. To better isolate the signal of interest, wavelet decomposition analysis was used and compared to Fast Fourier Transform analysis. Data was collected in vitro using an adjustable peristaltic perfusion system and compared to simulated data created using low frequency sine waves. Standard FFT analysis and wavelet decomposition, using the symlet-4 wavelet mother function, was performed on both sets of data. The results showed that wavelet analysis was more suitable than FFT to extract the semi-periodic perfusion signal. These results indicate the potential of wavelet analysis for blood perfusion monitoring

机译：已经开发了一种传感器，其使用多种源激发来测量移植器官中的血液灌注。为了更好地隔离感兴趣的信号，使用小波分解分析并与快速傅里叶变换分析进行比较。使用可调节的蠕动灌注系统在体外收集数据，并与使用低频正弦波创建的模拟数据相比。在两组数据上执行标准FFT分析和小波分解，使用Symlet-4小波母函数进行。结果表明，小波分析比FFT更合适以提取半周期灌注信号。这些结果表明血液灌注监测小波分析的潜力

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《Society of Photo-Optical Instrumentation Engineers Conference on Optical Diagnostics and Sensing》|2004年||共7页
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Seungjoon Lee; Bennet L. Ibey; Mark A. Wilson; M. Nance Ericson; Gerard L. Cote; SPIE-The International Society for Optical Engineering; SPIE v.5325 and Progress in Biomedical Optics and Imaging v.5 no.14;
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中图分类 N-532;
关键词
wavelet; perfusion; FFT; DWT; pulse oximeter; transplant organ;

机译：小波;灌注;FFT;DWT;脉冲血氧仪;移植器官;

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Wavelet signal extraction using an oximetry based perfusion sensor

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