Department of Electronics, Aalto University, PO BOX 13340, 00076 Aalto, Finland.
Biomed Eng Online. 2010 Nov 4;9:65. doi: 10.1186/1475-925X-9-65.
Tomographic imaging has revealed that the body mass index does not give a reliable state of overall fitness. However, high measurement costs make the tomographic imaging unsuitable for large scale studies or repeated individual use. This paper reports an experimental investigation of a new electromagnetic method and its feasibility for assessing body composition. The method is called body electrical loss analysis (BELA).
The BELA method uses a high-Q parallel resonant circuit to produce a time-varying magnetic field. The Q of the resonator changes when the sample is placed in its coil. This is caused by induced eddy currents in the sample. The new idea in the BELA method is the altered spatial distribution of the electrical losses generated by these currents. The distribution of losses is varied using different excitation frequencies. The feasibility of the method was tested using simplified phantoms. Two of these phantoms were rough estimations of human torso. One had fat in the middle of its volume and saline solution in the outer shell volume. The other had reversed conductivity distributions. The phantoms were placed in the resonator and the change in the losses was measured. Five different excitation frequencies from 100 kHz to 200 kHz were used.
The rate of loss as a function of frequency was observed to be approximately three times larger for a phantom with fat in the middle of its volume than for one with fat in its outer shell volume.
At higher frequencies the major signal contribution can be shifted toward outer shell volume. This enables probing the conductivity distribution of the subject by weighting outer structural components. The authors expect that the loss changing rate over frequency can be a potential index for body composition analysis.
断层成像已显示,体重指数并不能可靠地反映整体健康状况。然而,由于测量成本高,断层成像不适用于大规模研究或个体的重复使用。本文报告了一种新的电磁方法的实验研究及其评估身体成分的可行性。该方法称为体电损耗分析(BELA)。
BELA 方法使用高 Q 值的并联谐振电路产生时变磁场。当样品置于其线圈中时,谐振器的 Q 值会发生变化。这是由样品中感应涡流引起的。BELA 方法的新思想是这些电流产生的电损耗的空间分布发生变化。通过使用不同的激励频率来改变损耗的分布。使用简化的模型对该方法的可行性进行了测试。其中两个模型粗略地模拟了人体躯干。一个模型在其体积的中部有脂肪,外壳体积中有生理盐水。另一个模型具有相反的电导率分布。将模型放置在谐振器中并测量损耗的变化。使用了从 100 kHz 到 200 kHz 的五个不同的激励频率。
发现中间有脂肪的模型的损耗率随频率的变化大约是外壳有脂肪的模型的三倍。
在较高的频率下,主要的信号贡献可以向外壳体积转移。这使得通过加权外部结构组件来探测对象的电导率分布成为可能。作者期望损耗随频率的变化率可以成为身体成分分析的潜在指标。