Estimating bladder pressure from sacral dorsal root ganglia recordings.
Estimating bladder pressure from sacral dorsal root ganglia recordings.
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DOI：
10.1109/iembs.2011.6091052
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发表时间：
2011
期刊：
影响因子：
--
通讯作者：
Weber DJ
中科院分区：
文献类型：
--
作者：
Bruns TM;Gaunt RA;Weber DJ
患有功能障碍性膀胱的个体可以从跟踪膀胱状态的设备中受益。来自骨盆和骶神经袖带的记录可以检测膀胱收缩，但是它们通常具有低信号质量并且容易受到来自非膀胱信号的干扰。从骶背根神经节（DRG）神经元的微电极记录可以提供一个替代来源，获得高质量的感觉信号，膀胱压力监测。在这项研究中，穿透微电极阵列插入S1和S2 DRG在两只猫记录传入尖峰活动在不同的膀胱压力。采用多元线性回归模型从DRG神经元的尖峰活动估计膀胱压力。主要从S2 DRG获得5-10个单位的群体的最佳估计值，均方根误差为3.0-3.2 cm H2O（相关系数为0.5-0.9）。这项工作证明了从DRG记录监测膀胱压力的可行性。
Individuals with dysfunctional bladders may benefit from devices that track the bladder state. Recordings from pelvic and sacral nerve cuffs can detect bladder contractions, however they often have low signal quality and are susceptible to interference from non-bladder signals. Microelectrode recordings from sacral dorsal root ganglia (DRG) neurons may provide an alternate source for obtaining high quality sensory signals for bladder pressure monitoring. In this study, penetrating microelectrode arrays were inserted in the S1 and S2 DRG in two cats to record afferent spiking activity at different bladder pressures. Multivariate linear regression models were used to estimate bladder pressure from the spiking activity of DRG neurons. The best estimates were obtained with populations of 5–10 units primarily from the S2 DRG, with root mean square errors of 3.0–3.2 cm H2O (correlation coefficients of 0.5–0.9). This work demonstrates the feasibility of monitoring bladder pressure from DRG recordings.