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Forward-looking ultrasound wearable scanner system for estimation of urinary bladder volume

Title
Forward-looking ultrasound wearable scanner system for estimation of urinary bladder volume
Author(s)
Jo, Hyeong GeunPark, Beom HoonJoung, Do YeongJo, Jung KiHoh, Jeong-KyuChoi, Won YoungPark, Kwan Kyu
DGIST Authors
Jo, Hyeong GeunPark, Beom HoonJoung, Do YeongJo, Jung KiHoh, Jeong-KyuChoi, Won YoungPark, Kwan Kyu
Issued Date
2021-08
Type
Article
Author Keywords
Bladder volumeLeast-squares methodUltrasoundWearable device
Keywords
TransducersUltrasonicsAccurate measurementCurrent functionLeast squares methodsMeasurement accuracyQuadratic surfacesScanner systemsUrinary bladderVolume estimationsWearable technologyLeast squares approximationsMammalsPiezoelectric transducersPiezoelectricityScanning
ISSN
1424-8220
Abstract
Accurate measurement of bladder volume is an important tool for evaluating bladder function. In this study, we propose a wearable bladder scanner system that can continuously measure bladder volume in daily life for urinary patients who need urodynamic studies. The system consisted of a 2-D array, which included integrated forward-looking piezoelectric transducers with thin substrates. This study aims to estimate the volume of the bladder using a small number of piezoelectric transducers. A least-squares method was implemented to optimize an ellipsoid in a quadratic surface equation for bladder volume estimation. Ex-vivo experiments of a pig bladder were conducted to validate the proposed system. This work presents the potential of the approach for wearable bladder monitoring, which has similar measurement accuracy compared to the commercial bladder imaging system. The wearable bladder scanner can be improved further as electronic voiding diaries by adding a few more features to the current function. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
URI
http://hdl.handle.net/20.500.11750/16587
DOI
10.3390/s21165445
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
Files in This Item:
2-s2.0-85112128133.pdf

2-s2.0-85112128133.pdf

기타 데이터 / 2.96 MB / Adobe PDF download
Appears in Collections:
ETC 1. Journal Articles

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