Evidence map›Paper›PMID 32494686›Full record

ArticleScience advances2020

Soft sensors for a sensing-actuation system with high bladder voiding efficiency.

F Arab Hassani, H Jin, T Yokota, T Someya, N V Thakor

Abstract read
In one paragraph

Article in Science advances, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Bladder Replacement Therapy.Bladder (San Francisco, Calif.) · 2023
    Review
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Article
  17. Soft mechanical sensors for wearable and implantable applications.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    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

5 authors.

F Arab HassaniDepartment of Biomedical Engineering, National University of Singapore, 28 Medical Drive, #05-COR, Singapore 117456, Singapore.
H JinDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.ORCID 0000-0003-1445-3804
T YokotaDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.ORCID 0000-0003-1546-8864
T SomeyaDepartment of Electrical Engineering and Information Systems, The University of Tokyo, Tokyo 113-8656, Japan.ORCID 0000-0003-3051-1138
N V ThakorDepartment of Biomedical Engineering, National University of Singapore, 28 Medical Drive, #05-COR, Singapore 117456, Singapore.ORCID 0000-0002-9981-9395

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sensing-actuation systems can assist a bladder with lost sensation and weak muscle control. Here, we advance the relevant technology by integrating a soft and thin capacitive sensor with a shape memory alloy-based actuator to achieve a high-performance closed-loop configuration. In our design, sensors capable of continuous bladder volume detection and actuators with strong emptying force have been used. This integration has previously hindered performance due to large bladder volume changes. Our solution integrates sensing-actuation elements that are bladder compatible but do not interfere with one another, achieving real-time bladder management. The system attains a highly desirable voiding target of 71 to 100% of a rat's bladder with a volume sensitivity of 0.7 μF/liter. Our system represents an efficient voiding solution that avoids overfilling and represents a technological solution to bladder impairment treatment, serving as a model for similar soft sensor-actuator integration with other organs.

Identifiers

PMID32494686
PMCPMC7195140

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.