SAFETYLIT WEEKLY UPDATE

We compile citations and summaries of about 400 new articles every week.
RSS Feed

HELP: Tutorials | FAQ
CONTACT US: Contact info

Search Results

Journal Article

Citation

Tan TH, Gochoo M, Chen YF, Hu JJ, Chiang JY, Chang CS, Lee MH, Hsu YN, Hsu JC. Sensors (Basel) 2017; 17(1): s17010202.

Affiliation

Department of Internal Medicine, Taipei Hospital, Ministry of Health and Welfare, New Taipei City 242-13, Taiwan. dire@tph.mohw.gov.tw.

Copyright

(Copyright © 2017, MDPI: Multidisciplinary Digital Publishing Institute)

DOI

10.3390/s17010202

PMID

28117724

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.


Language: en

Keywords

3.5 G; Google Maps; WiMax; speech recognition; traffic guiding subsystem; ubiquitous emergency medical service

NEW SEARCH


All SafetyLit records are available for automatic download to Zotero & Mendeley
Print