Wavelet signal extraction using an oximetry based perfusion sensor

机译：使用基于血氧饱和度的灌注传感器提取小波信号

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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：已经开发出使用多源激发来测量移植器官中血液灌注的传感器。为了更好地隔离感兴趣的信号，使用了小波分解分析并将其与快速傅里叶变换分析进行了比较。使用可调节的蠕动灌注系统在体外收集数据，并将其与使用低频正弦波创建的模拟数据进行比较。使用symlet-4小波母函数对两组数据执行标准FFT分析和小波分解。结果表明，小波分析比FFT更适合于提取半周期灌注信号。这些结果表明小波分析在血液灌流监测中的潜力

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来源
《Conference on Optical Diagnostics and Sensing IV; 20040127; San Jose,CA; US》|2004年|P.44-50|共7页
会议地点 San Jose CA(US)
作者
Seungjoon Lee; Bennet L. Ibey; Mark A. Wilson; M. Nance Ericson; Gerard L. Cote;
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作者单位

Texas AM University, Biomedical Engineering, Mail Stop 3120, College Station, TX 77840;

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会议组织
原文格式 PDF
正文语种 eng
中图分类生物医学工程;
关键词
wavelet; perfusion; FFT; DWT; pulse oximeter; transplant organ;

机译：小波;灌注; FFT; DWT;脉搏血氧仪;移植器官;

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Wavelet signal extraction using an oximetry based perfusion sensor

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