Characterization of Electrophysiological Propagation by Multichannel Sensors.
Characterization of Electrophysiological Propagation by Multichannel Sensors.
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DOI：
10.1109/tbme.2015.2502065
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发表时间：
2016-08
期刊：
影响因子：
--
通讯作者：
Cheng LK
中科院分区：
文献类型：
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作者：
Bradshaw LA;Kim JH;Somarajan S;Richards WO;Cheng LK
通过多通道设备测量的电生理活动的传播可能具有重要的临床意义。胃慢波通常沿沿着纵向路径传播，这在血清电位和经皮磁场的记录中是明显的。我们采用了一个现实的胃慢波活动的模型来模拟经腹磁胃图（MGG）记录在一个多通道生物磁仪，并确定从MGG测量的电生理传播的特性。使用真实腹部（浅层和深层源）和水平分层体积导体中慢波源的MGG模拟，我们比较了两种允许定量表征的分析方法（二阶盲识别，SOBI和表面电流密度，SCD）慢波传播。我们还评估了模拟实验噪声的方法的性能。该方法也在实验动物模型中进行了验证。位置估计的均方误差在正确位置的2 cm内，平均传播速度在实际速度的2 mm/s内。SOBI传播分析优于SCD方法的偶极子在表面和水平层模型加和不加噪声。SCD方法对深源给出了更好的估计，但不能处理加性噪声和SOBI。使用SOBI-MGG和SCD-MGG来量化胃电活动的真实腹部模型中的慢波传播。这些方法可以推广到由多通道传感器阵列检测到的任何传播的电生理活动。
The propagation of electrophysiological activity measured by multichannel devices could have significant clinical implications. Gastric slow waves normally propagate along longitudinal paths that are evident in recordings of serosal potentials and transcutaneous magnetic fields. We employed a realistic model of gastric slow wave activity to simulate the transabdominal magnetogastrogram (MGG) recorded in a multichannel biomagnetometer and to determine characteristics of electrophysiological propagation from MGG measurements. Using MGG simulations of slow wave sources in a realistic abdomen (both superficial and deep sources) and in a horizontally-layered volume conductor, we compared two analytic methods (Second Order Blind Identification, SOBI and Surface Current Density, SCD) that allow quantitative characterization of slow wave propagation. We also evaluated the performance of the methods with simulated experimental noise. The methods were also validated in an experimental animal model. Mean square errors in position estimates were within 2 cm of the correct position, and average propagation velocities within 2 mm/s of the actual velocities. SOBI propagation analysis outperformed the SCD method for dipoles in the superficial and horizontal layer models with and without additive noise. The SCD method gave better estimates for deep sources, but did not handle additive noise as well as SOBI. SOBI-MGG and SCD-MGG were used to quantify slow wave propagation in a realistic abdomen model of gastric electrical activity. These methods could be generalized to any propagating electrophysiological activity detected by multichannel sensor arrays.