Evidence map›Paper›PMID 28117724›Full record

ArticleSensors (Basel, Switzerland)2017

Ubiquitous Emergency Medical Service System Based on Wireless Biosensors, Traffic Information, and Wireless Communication Technologies: Development and Evaluation.

Tan-Hsu Tan, Munkhjargal Gochoo, Yung-Fu Chen, Jin-Jia Hu, John Y Chiang, Ching-Su Chang, Ming-Huei Lee, Yung-Nian Hsu, Jiin-Chyr Hsu

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Mobile wireless monitoring system for prehospital emergency care.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2020
    Article
  6. Article
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

9 authors.

Tan-Hsu TanDepartment of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan. thtan@ntut.edu.tw.
Munkhjargal GochooDepartment of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan. g.munkhjargal@must.edu.mn.
Yung-Fu ChenDepartment of Dental Technology and Materials Science, Central Taiwan University of Science and Technology, Taichung City 40601, Taiwan. yfchen@ctust.edu.tw.
Jin-Jia HuDepartment of Electrical Engineering, National Taipei University of Technology, Taipei 10608, Taiwan. darren.jj.hu@mail.foxconn.com.
John Y ChiangDepartment of Computer Science and Engineering, National Sun Yat-Sen University, Kaohsiung 80424, Taiwan. chiang@cse.nsysu.edu.tw.
Ching-Su ChangDepartment of Data & Broadband Maintenance Center, Chunghwa Telecom Hsinchu Business Group, Hsinchu City 300, Taiwan. csc8100@cht.com.tw.
Ming-Huei LeeDepartment of Urology, Feng Yuan Hospital, Ministry of Health and Welfare, Taichung 42055, Taiwan. dire@fyh.mohw.gov.tw.
Yung-Nian HsuDepartment of Family Medicine, Taichung Hospital, Ministry of Health and Welfare, Taichung 403, Taiwan. hbtcf00300@taichung.gov.tw.
Jiin-Chyr HsuDepartment of Internal Medicine, Taipei Hospital, Ministry of Health and Welfare, New Taipei City 242-13, Taiwan. dire@tph.mohw.gov.tw.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a new ubiquitous emergency medical service system (UEMS) that consists of a ubiquitous tele-diagnosis interface and a traffic guiding subsystem. The UEMS addresses unresolved issues of emergency medical services by managing the sensor wires for eliminating inconvenience for both patients and paramedics in an ambulance, providing ubiquitous accessibility of patients' biosignals in remote areas where the ambulance cannot arrive directly, and offering availability of real-time traffic information which can make the ambulance reach the destination within the shortest time. In the proposed system, patient's biosignals and real-time video, acquired by wireless biosensors and a webcam, can be simultaneously transmitted to an emergency room for pre-hospital treatment via WiMax/3.5 G networks. Performances of WiMax and 3.5 G, in terms of initialization time, data rate, and average end-to-end delay are evaluated and compared. A driver can choose the route of the shortest time among the suggested routes by Google Maps after inspecting the current traffic conditions based on real-time CCTV camera streams and traffic information. The destination address can be inputted vocally for easiness and safety in driving. A series of field test results validates the feasibility of the proposed system for application in real-life scenarios.

Indexed as

Emergency Medical ServicesAmbulancesBiosensing TechniquesComputer Communication NetworksWireless Technology3.5 GGoogle Mapsspeech recognitiontraffic guiding subsystemubiquitous emergency medical serviceWiMax

Identifiers

PMID28117724
PMCPMC5298775

What OpenQuestion holds

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LicenceCC BY
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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.