Literature DB >> 15787003

Performance analysis of multiplexed medical data transmission for mobile emergency care over the UMTS channel.

José Ramón Gállego1, Angela Hernández-Solana, María Canales, Javier Lafuente, Antonio Valdovinos, Julian Fernández-Navajas.   

Abstract

In this paper, a third-generation universal mobile telecommunications system (UMTS) solution for the delivery of biomedical information from an ambulance to a hospital is presented. The joint transmission of voice, real-time video, electrocardiogram signals, and medical scans in a realistic cellular multiuser simulation environment is considered, taking into account the advantages and particularities of UMTS technology for such transmission. The accomplishment of quality of service constraints for different services is investigated and quantitative results are provided in order to demonstrate the feasibility of using UMTS technology for emergency care services on high-speed moving ambulance vehicles.

Mesh:

Year:  2005        PMID: 15787003     DOI: 10.1109/titb.2004.838362

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  10 in total

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Review 5.  Survey of WBSNs for Pre-Hospital Assistance: Trends to Maximize the Network Lifetime and Video Transmission Techniques.

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6.  Effect of wireless channels on detection and classification of asthma attacks in wireless remote health monitoring systems.

Authors:  Orobah Al-Momani; Khaled M Gharaibeh
Journal:  Int J Telemed Appl       Date:  2014-02-10

7.  An analytical model to minimize the latency in healthcare internet-of-things in fog computing environment.

Authors:  Saurabh Shukla; Mohd Fadzil Hassan; Muhammad Khalid Khan; Low Tang Jung; Azlan Awang
Journal:  PLoS One       Date:  2019-11-13       Impact factor: 3.240

8.  Cellular phone enabled non-invasive tissue classifier.

Authors:  Shlomi Laufer; Boris Rubinsky
Journal:  PLoS One       Date:  2009-04-13       Impact factor: 3.240

9.  Ubiquitous computing for remote cardiac patient monitoring: a survey.

Authors:  Sunil Kumar; Kashyap Kambhatla; Fei Hu; Mark Lifson; Yang Xiao
Journal:  Int J Telemed Appl       Date:  2008

10.  Remote Pain Monitoring Using Fog Computing for e-Healthcare: An Efficient Architecture.

Authors:  Syed Rizwan Hassan; Ishtiaq Ahmad; Shafiq Ahmad; Abdullah Alfaify; Muhammad Shafiq
Journal:  Sensors (Basel)       Date:  2020-11-18       Impact factor: 3.576

  10 in total

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