Literature DB >> 16035969

Evaluation of a realtime, remote monitoring telemedicine system using the Bluetooth protocol and a mobile phone network.

Yousef Jasemian1, Lars Arendt-Nielsen.   

Abstract

A generic, realtime wireless telemedicine system has been developed that uses the Bluetooth protocol and the general packet radio service for mobile phones. The system was tested on 10 healthy volunteers, by continuous monitoring of their electrocardiograms (ECGs). Under realistic conditions, the system had 96.5% uptime, a data throughput of 3.3 kbit/s, a mean packet error rate of 8.5x10(-3) packet/s and a mean packet loss rate of 8.2x10(-3) packet/s. During 24 h testing, the total average downtime was 66 min and 90% of the periods of downtime were of only 1-3 min duration. Less than 10% of the ECGs were of unacceptable quality. Thus, the generic telemedicine system showed high reliability and performance, and the design may provide a foundation for realtime monitoring in clinical practice, for example in cardiology.

Mesh:

Year:  2005        PMID: 16035969     DOI: 10.1258/1357633054471911

Source DB:  PubMed          Journal:  J Telemed Telecare        ISSN: 1357-633X            Impact factor:   6.184


  4 in total

1.  Implementation issues for mobile-wireless infrastructure and mobile health care computing devices for a hospital ward setting.

Authors:  Liza Heslop; Stephen Weeding; Linda Dawson; Julie Fisher; Andrew Howard
Journal:  J Med Syst       Date:  2009-03-11       Impact factor: 4.460

2.  Near Field Communication-based telemonitoring with integrated ECG recordings.

Authors:  J Morak; H Kumpusch; D Hayn; M Leitner; D Scherr; F M Fruhwald; G Schreier
Journal:  Appl Clin Inform       Date:  2011-11-23       Impact factor: 2.342

3.  Revisiting QRS detection methodologies for portable, wearable, battery-operated, and wireless ECG systems.

Authors:  Mohamed Elgendi; Björn Eskofier; Socrates Dokos; Derek Abbott
Journal:  PLoS One       Date:  2014-01-07       Impact factor: 3.240

4.  Efficient ECG Compression and QRS Detection for E-Health Applications.

Authors:  Mohamed Elgendi; Amr Mohamed; Rabab Ward
Journal:  Sci Rep       Date:  2017-03-28       Impact factor: 4.379

  4 in total

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