Autor: |
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 |
Jazyk: |
angličtina |
Rok vydání: |
2024 |
Předmět: |
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Zdroj: |
Lifestyle Medicine, Vol 5, Iss 1, Pp n/a-n/a (2024) |
Druh dokumentu: |
article |
ISSN: |
2688-3740 |
DOI: |
10.1002/lim2.93 |
Popis: |
Abstract 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. |
Databáze: |
Directory of Open Access Journals |
Externí odkaz: |
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