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在脊髓刺激期间从可植入导线记录人体生理信号的方法和系统。

Methods and system for recording human physiological signals from implantable leads during spinal cord stimulation.

作者信息

Ramadan Ahmed, König Seth D, Zhang Mingming, Ross Erika K, Herman Alexander, Netoff Theoden I, Darrow David P

机构信息

Department of Biomedical Engineering, University of Minnesota, Minneapolis, MN, United States.

Department of Neurosurgery, University of Minnesota, Minneapolis, MN, United States.

出版信息

Front Pain Res (Lausanne). 2023 Mar 3;4:1072786. doi: 10.3389/fpain.2023.1072786. eCollection 2023.

Abstract

OBJECTIVES

This article presents a method-including hardware configuration, sampling rate, filtering settings, and other data analysis techniques-to measure evoked compound action potentials (ECAPs) during spinal cord stimulation (SCS) in humans with externalized percutaneous electrodes. The goal is to provide a robust and standardized protocol for measuring ECAPs on the non-stimulation contacts and to demonstrate how measured signals depend on hardware and processing decisions.

METHODS

Two participants were implanted with percutaneous leads for the treatment of chronic pain with externalized leads during a trial period for stimulation and recording. The leads were connected to a Neuralynx ATLAS system allowing us to simultaneously stimulate and record through selected electrodes. We examined different hardware settings, such as online filters and sampling rate, as well as processing techniques, such as stimulation artifact removal and offline filters, and measured the effects on the ECAPs metrics: the first negative peak (N1) time and peak-valley amplitude.

RESULTS

For accurate measurements of ECAPs, the hardware sampling rate should be least at 8 kHz and should use a high pass filter with a low cutoff frequency, such as 0.1 Hz, to eliminate baseline drift and saturation (railing). Stimulation artifact removal can use a double exponential or a second-order polynomial. The polynomial fit is 6.4 times faster on average in computation time than the double exponential, while the resulting ECAPs' N1 time and peak-valley amplitude are similar between the two. If the baseline raw measurement drifts with stimulation, a median filter with a 100-ms window or a high pass filter with an 80-Hz cutoff frequency preserves the ECAPs.

CONCLUSIONS

This work is the first comprehensive analysis of hardware and processing variations on the observed ECAPs from SCS leads. It sets recommendations to properly record and process ECAPs from the non-stimulation contacts on the implantable leads.

摘要

目的

本文介绍了一种方法,包括硬件配置、采样率、滤波设置及其他数据分析技术,用于在使用外置经皮电极对人体进行脊髓刺激(SCS)期间测量诱发复合动作电位(ECAP)。目标是提供一种用于在非刺激触点上测量ECAP的稳健且标准化的方案,并展示测量信号如何依赖于硬件和处理决策。

方法

两名参与者在刺激和记录的试验期内植入了经皮导线,用于治疗慢性疼痛,导线为外置式。导线连接到Neuralynx ATLAS系统,使我们能够通过选定电极同时进行刺激和记录。我们研究了不同的硬件设置,如在线滤波器和采样率,以及处理技术,如刺激伪迹去除和离线滤波器,并测量了对ECAP指标的影响:第一个负峰(N1)时间和峰谷幅度。

结果

为了准确测量ECAP,硬件采样率应至少为8kHz,并且应使用低截止频率的高通滤波器,如0.1Hz,以消除基线漂移和饱和(限幅)。刺激伪迹去除可使用双指数或二阶多项式。多项式拟合的平均计算时间比双指数快6.4倍,而两者得到的ECAP的N1时间和峰谷幅度相似。如果基线原始测量值随刺激而漂移,具有100ms窗口的中值滤波器或截止频率为80Hz的高通滤波器可保留ECAP。

结论

这项工作是对SCS导线观察到的ECAP的硬件和处理变化的首次全面分析。它为从可植入导线上的非刺激触点正确记录和处理ECAP提出了建议。

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