Evidence map›Paper›PMID 27294927›Full record

ArticleSensors (Basel, Switzerland)2016

Novel Wearable Device for Blood Leakage Detection during Hemodialysis Using an Array Sensing Patch.

Yi-Chun Du, Bee-Yen Lim, Wei-Siang Ciou, Ming-Jui Wu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. A Clinical Trial of the Effect of a Blood Leakage Detection Device for Patients during Hemodialysis.International journal of environmental research and public health · 2019
    Trial
  2. An All-In-One Transient Theranostic Platform for Intelligent Management of Hemorrhage.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
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  4. Review
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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

4 authors.

Yi-Chun DuDepartment of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan 71005, Taiwan. terrydu@stust.edu.tw.
Bee-Yen LimDepartment of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan 71005, Taiwan. da320209@stust.edu.tw.
Wei-Siang CiouDepartment of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan 71005, Taiwan. ma32d201@stust.edu.tw.
Ming-Jui WuDepartment of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan 71005, Taiwan. wmr216@yahoo.com.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hemodialysis (HD) is a clinical treatment that requires the puncturing of the body surface. However, needle dislodgement can cause a high risk of blood leakage and can be fatal to patients. Previous studies proposed several devices for blood leakage detection using optical or electrical techniques. Nonetheless, these methods used single-point detection and the design was not suitable for multi-bed monitoring. This study proposed a novel wearable device for blood leakage monitoring during HD using an array sensing patch. The array sensing patch combined with a mapping circuit and a wireless module could measure and transmit risk levels. The different risk levels could improve the working process of healthcare workers, and enhance their work efficiency and reduce inconvenience due to false alarms. Experimental results showed that each point of the sensing array could detect up to 0.1 mL of blood leakage and the array sensing patch supports a risk level monitoring system up to 8 h to alert healthcare personnel of pertinent danger to the patients.

Indexed as

Wearable Electronic DevicesHumansMonitoring, PhysiologicRemote Sensing TechnologyRenal DialysisTelemedicinearray sensing patchhemodialysis (HD)risk level monitoringwearable device

Identifiers

PMID27294927
PMCPMC4934275

What OpenQuestion holds

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Registered trials

None linked

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.