Evidence map›Paper›PMID 34450887›Full record

ArticleSensors (Basel, Switzerland)2021

Forward-Looking Ultrasound Wearable Scanner System for Estimation of Urinary Bladder Volume.

Hyeong Geun Jo, Beom Hoon Park, Do Yeong Joung, Jung Ki Jo, Jeong-Kyu Hoh, Won Young Choi, Kwan Kyu Park

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed.

  1. Review
  2. Article
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  6. Article
  7. Article
  8. Article
  9. Article
  10. Emerging Wearable Ultrasound Technology.IEEE transactions on ultrasonics, ferroelectrics, and frequency control · 2024
    Review
  11. Article
  12. Review
  13. Article
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  15. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Hyeong Geun JoDepartment of Convergence Mechanical Engineering, Hanyang University, Seoul 04763, Korea.ORCID 0000-0002-4297-4204
Beom Hoon ParkDepartment of Convergence Mechanical Engineering, Hanyang University, Seoul 04763, Korea.
Do Yeong JoungDepartment of Convergence Mechanical Engineering, Hanyang University, Seoul 04763, Korea.
Jung Ki JoDepartment of Urology, College of Medicine, Hanyang University, Seoul 04763, Korea.ORCID 0000-0002-6080-7493
Jeong-Kyu HohDepartment of Obstetrics and Gynecology, College of Medicine, Hanyang University, Seoul 04763, Korea.
Won Young ChoiDivision of Intelligent Robotics, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu 42988, Korea.
Kwan Kyu ParkDepartment of Convergence Mechanical Engineering, Hanyang University, Seoul 04763, Korea.ORCID 0000-0001-5117-5853

Funding

National Research Foundation of Korea 2019M3E5D1A01069363
6 · The paper itself

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.

Indexed as

Urinary BladderWearable Electronic DevicesAnimalsHumansSwineUltrasonographybladder volumeleast-squares methodultrasoundwearable device

Identifiers

PMID34450887
PMCPMC8400094

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.