DocumentCode :
3012676
Title :
A portable spatial monitoring system for autonomous heart diagnosis
Author :
Meireles, Angelina ; Figueiredo, L. ; Seabra Lopes, Luis
Author_Institution :
GECAD - Knowledge Eng. & Decision Support Res. Center, Aveiro, Portugal
fYear :
2013
fDate :
9-12 Oct. 2013
Firstpage :
449
Lastpage :
453
Abstract :
Heart disorders are one of the most problematic issues of human health. There are currently many efforts to reduce the time for first assistance based on electronic systems that continuously records the electric heart activity for further inspection and anomalies detection. The most popular are portable monitoring systems based on the Electrocardiogram (ECG) signal. However, an efficient detection of heart problems still being a big challenge mainly due to the difficulty of accessing some specific cardiac problems and signal variations between different patients. A different technique for heart diagnosing is based on spatial recording of electrical heart activity, commonly known as Vectorcardiogram (VCG). VCG is pointed by several authors as a more efficient tool than ECG for heart inspection and problem detection. This research explores the possibility of using VCG signals in a portable device for constant heart monitoring and injuries detection. It is presented a portable solution with VCG recording and digital signal processing for automatic diagnosis. This paper covers the aspects of the VCG signal and its ability to be converted into a 12-lead ECG signal. It is also presented a system for automatic diagnosis based on VCG which is based on a multichannel portable hardware platform to support noise cancellation, parameter extraction and decision making algorithms.
Keywords :
bioelectric potentials; cardiology; medical signal processing; signal denoising; ECG signal; VCG recording; VCG signal; autonomous heart diagnosis; cardiac problems; decision making algorithms; digital signal processing; electric heart activity; electrocardiogram signal; heart disorders; heart inspection; human health; multichannel portable hardware platform; noise cancellation; parameter extraction; portable spatial monitoring system; problem detection; signal variations; vectorcardiogram; Decision making; Digital signal processing; Electrocardiography; Electrodes; Heart; Myocardium; Noise cancellation; Bayesian networks; Vectorcardiography; diagnosis; digital signal processing; electrocardiography; feature extraction; myocardial infarction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-5800-2
Type :
conf
DOI :
10.1109/HealthCom.2013.6720718
Filename :
6720718
Link To Document :
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