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.
- NSF-PAR ID:
- 10472583
- Publisher / Repository:
- Wiley Blackwell (John Wiley & Sons)
- Date Published:
- Journal Name:
- Lifestyle Medicine
- Volume:
- 5
- Issue:
- 1
- ISSN:
- 2688-3740
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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