Dual energy pulses for Electrical Impedance Spectroscopy with the stochastic Gabor function.
Dual energy pulses for Electrical Impedance Spectroscopy with the stochastic Gabor function.
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具有随机 Gabor 函数的电阻抗谱双能量脉冲。
DOI：
10.1109/embc.2012.6345890
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发表时间：
2012
期刊：
影响因子：
--
通讯作者：
Lev,MichaelH
中科院分区：
文献类型：
--
作者：
Bonmassar,Giorgio;Iacono,MariaIda;Lev,MichaelH
本文介绍了随机伽柏函数（SGF），激励波形，可用于设计最佳的激励脉冲的电阻抗谱（EIS）的大脑。SGF是由均匀分布的噪声调制的高斯函数;它具有宽频谱表示，而与刺激脉冲长度无关。在时频域中研究了SGF。如频率集中测量所示，SGF在采样频率相平面中是最不紧凑的。通过使用一个现实的人的头部模型获得的数值结果表明，SGF可以允许浅和更深的组织渗透比目前可获得的传统的刺激范例，潜在地促进组织减法评估的实质介电频率的变化。这对提高脑卒中和出血的EIS有一定的参考价值。
This paper introduces the stochastic Gabor function (SGF), an excitation waveform that can be used to design optimal excitation pulses for Electrical Impedance Spectroscopy (EIS) of the brain. The SGF is a Gaussian function modulated by uniformly distributed noise; it has wide frequency spectrum representation regardless of the stimuli pulse length. The SGF was studied in the time-frequency domain. As shown by frequency concentration measurements, the SGF is least compact in the sample frequency phase plane. Numerical results obtained by using a realistic human head model indicate that the SGF may allow for both shallow and deeper tissue penetration than is currently obtainable with conventional stimulus paradigms, potentially facilitating tissue subtraction assessment of parenchymal dielectric changes in frequency. This could be of value in advancing EIS of stroke and hemorrhage.