在Bio-FET测量的随机回归中选择最佳带宽
Luis A Melara1, Ryan M Evans2, Seulki Cho3
1Department of Mathematics, Shippensburg University of Pennsylvania, 1871 Old Main Drive, Shippensburg, 17257, PA, USA.
Journal of mathematical biology
|June 10, 2025
概括
这项研究通过确定随机回归的最佳带宽参数来优化生物场效应晶体管 (Bio-FET) 的噪声降低. 研究结果显示,在不同的生物-FET设计中,一致的最佳参数是一致的,提高了生物标志物测量准确度.
科学领域:
- 生物电子学 生物电子学
- 信号处理 信号处理
- 生物医学工程 生物医学工程
背景情况:
- 生物场效应晶体管 (Bio-FETs) 提供快速,经济高效的 point-of-care生物标志物检测.
- 来自Bio-FETs的时间序列数据通常含有噪声,阻碍了准确的定量分析.
- 随机回归是一种通过模拟信号漂移和扩散来消除生物FET测量的方法.
研究的目的:
- 为了确定Bio-FET测量中随机回归的最佳带宽参数.
- 评估不同内核功能对降噪的影响.
- 评估最佳带宽参数在各种仪器尺寸比的一致性.
主要方法:
- 使用线性漂移-扩散方程进行随机回归建模.
- 通过局部加权回归和最大概率估计估计系数.
- 在不同的Bio-FET视角比率中对内核功能和带宽参数进行交叉验证.
主要成果:
- 确定了Bio-FET测量的最佳带宽参数.
- 最佳带宽参数在不同的仪器尺寸比率中显示出了显著的一致性.
- 发现内核函数的选择会影响最佳带宽的选择.
结论:
- 已经建立了一种优化生物FET数据中的降噪方法.
- 一致的最佳带宽参数简化了用于生物-FET分析的随机回归的应用.
- 这些发现有助于从Bio-FET设备中更准确,更可靠地定量生物标志物.
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