research-article

ECG signal recording, processing and transmission using a mobile phone

Authors:

Georgios Giannakakis,

Ivan BulievAuthors Info & Claims

PETRA '08: Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments

Article No.: 82, Pages 1 - 4

https://doi.org/10.1145/1389586.1389680

Published: 16 July 2008 Publication History

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Abstract

Telemedicine is being rapidly developed. In isolated places, i.e. islands, mountains or ships, where access to medical services is time-consuming or infeasible, it can prove life-saving. Powerful programming languages such as C++ and Java™ are supported by the modern mobile phones, which gives a possibility for easy developing of useful telemedicine applications. In this paper we present an approach for distant simultaneous monitoring of several ECG signals. The individual channel signals are packed through modulation into a complex sound signal, which is further recorded by a mobile phone. The phone is interfaced to the measuring device through a modified hands-free accessory. JAVA applications allow storing the signals in multimedia files and their transmitting to a second mobile phone via MMS or other means. A real-time ECG monitoring is also possible. The feasibility of the signal processing algorithms is confirmed through simulations in MATLAB.

References

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Cited By

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Raikhelkar JRaikhelkar J(2019)Advances in Tele-CardiologyTelemedicine in the ICU10.1007/978-3-030-11569-2_13(225-242)Online publication date: 26-Apr-2019
https://doi.org/10.1007/978-3-030-11569-2_13
Raikhelkar JRaikhelkar J(2015)The Impact of Telemedicine in Cardiac Critical CareCritical Care Clinics10.1016/j.ccc.2014.12.00831:2(305-317)Online publication date: Apr-2015
https://doi.org/10.1016/j.ccc.2014.12.008
Hsieh JLi AYang C(2013)Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in TelecardiologyInternational Journal of Environmental Research and Public Health10.3390/ijerph1011613110:11(6131-6153)Online publication date: 13-Nov-2013
https://doi.org/10.3390/ijerph10116131
Show More Cited By

Index Terms

ECG signal recording, processing and transmission using a mobile phone
1. Applied computing
  1. Life and medical sciences
    1. Consumer health
    2. Health informatics

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Information

Published In

PETRA '08: Proceedings of the 1st international conference on PErvasive Technologies Related to Assistive Environments

July 2008

607 pages

ISBN:9781605580678

DOI:10.1145/1389586

Editors:
Fillia Makedon
University of Texas at Arlington
,
Lynne Baillie
Telecom Research Center Vienna (FTW), Austria
,
Grammati Pantziou
TEI of Athens (Department of Informatics), Greece
,
Ilias Maglogiannis
University of Central Greece (Department of Computer Science and Biomedical Informatics), Greece

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 July 2008

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PETRA '08

Sponsor:

Motorola
SERC
NIST

PETRA '08: The 1st International Conference on PErvasive Technologies Related to Assistive Environments

July 16 - 18, 2008

Athens, Greece

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Cited By

View all

Raikhelkar JRaikhelkar J(2019)Advances in Tele-CardiologyTelemedicine in the ICU10.1007/978-3-030-11569-2_13(225-242)Online publication date: 26-Apr-2019
https://doi.org/10.1007/978-3-030-11569-2_13
Raikhelkar JRaikhelkar J(2015)The Impact of Telemedicine in Cardiac Critical CareCritical Care Clinics10.1016/j.ccc.2014.12.00831:2(305-317)Online publication date: Apr-2015
https://doi.org/10.1016/j.ccc.2014.12.008
Hsieh JLi AYang C(2013)Mobile, Cloud, and Big Data Computing: Contributions, Challenges, and New Directions in TelecardiologyInternational Journal of Environmental Research and Public Health10.3390/ijerph1011613110:11(6131-6153)Online publication date: 13-Nov-2013
https://doi.org/10.3390/ijerph10116131
Gupta RBera JMitra M(2010)Development of an embedded system and MATLAB-based GUI for online acquisition and analysis of ECG signalMeasurement10.1016/j.measurement.2010.05.00343:9(1119-1126)Online publication date: Nov-2010
https://doi.org/10.1016/j.measurement.2010.05.003
Ouyang CXin JZeng SLi GLi JYu Z(undefined)Constructing a Supplementary Benchmark Suite to Represent Android Applications with User Interactions by using Performance CountersACM Transactions on Architecture and Code Optimization10.1145/3701999
https://dl.acm.org/doi/10.1145/3701999

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3G Mobile Phone Applications in Telemedicine - A Survey

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Measuring and prioritising value of mobile phone usage