无创多通道尿动力系统:从人体膀胱获取皮肤电信号

Q3 Medicine
Jonas F. Kurniawan, Sanghee Lee, Hoang-Kim Le, Andrew K. L. Nguyen, Nathan L. J. Sit, Timothy Pham, Boris Tjhia, Ryan Gottlieb, Carleen Li, Andrew J. Shin, Hassler Bueno Garcia, Vincent M. Wu, Tris R Mendoza, Thomas DiPina, Gladys Ornelas, George Chiang, Christina A. M. Jamieson, Yahir Santiago-Lastra, Todd P. Coleman
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引用次数: 0

摘要

我们开发了一种高分辨率无创多通道尿动力系统,该系统结合了一种新颖的信号处理算法,专门用于提取膀胱的肌电图(EMG)活动。我们利用灵活的无创生物电位记录系统收集了人体膀胱的肌电信号阵列。本研究还介绍了如何利用现有的伪影剔除方法,从容易产生运动伪影的环境中自主提取肌电信号。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Noninvasive multichannel urodynamic system: Obtaining cutaneous electrical signals from the human urinary bladder

Noninvasive multichannel urodynamic system: Obtaining cutaneous electrical signals from the human urinary bladder

We developed a high-resolution and noninvasive multichannel urodynamic system combined with a novel signal-processing algorithm tailored to extract electromyographic (EMG) activity from the urinary bladder. We utilized a flexible noninvasive biopotential recording system to collect an array of EMG signals from the urinary bladder of human subjects. This study also presents the use of an existing artifact rejection methodology to autonomously extract an EMG signal from an environment prone to motion artifacts.

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CiteScore
2.10
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0.00%
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审稿时长
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