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
{"title":"无创多通道尿动力系统:从人体膀胱获取皮肤电信号","authors":"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","doi":"10.1002/lim2.93","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <p>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.</p>\n </section>\n </div>","PeriodicalId":74076,"journal":{"name":"Lifestyle medicine (Hoboken, N.J.)","volume":"5 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/lim2.93","citationCount":"0","resultStr":"{\"title\":\"Noninvasive multichannel urodynamic system: Obtaining cutaneous electrical signals from the human urinary bladder\",\"authors\":\"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\",\"doi\":\"10.1002/lim2.93\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <p>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.</p>\\n </section>\\n </div>\",\"PeriodicalId\":74076,\"journal\":{\"name\":\"Lifestyle medicine (Hoboken, N.J.)\",\"volume\":\"5 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/lim2.93\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lifestyle medicine (Hoboken, N.J.)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/lim2.93\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Medicine\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lifestyle medicine (Hoboken, N.J.)","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/lim2.93","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Medicine","Score":null,"Total":0}
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.