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Proceedings Paper

Smart real-time cardiac diagnostic sensor systems for football players and soldiers under intense physical training
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Paper Abstract

Sudden cardiac death (SCD) and acute myocardial infarctions (AMIs) have been reported to be up to 7.6 times higher in rate of occurrence during intense exercise as compared to sedentary activities. The risk is high in individuals with both diagnosed as well as occult heart diseases. Recently, SCDs have been reported with a high rate of occurrence among young athletes and soldiers who routinely undergo vigorous training. Prescreening Electrocardiograms (ECG) and echocardiograms have been suggested as potential means of detecting any cardiac abnormalities prior to intense training to avoid the risk of SCDs, but the benefits of this approach are widely debated. Moreover, the increased risk of SCDs and AMIs during training or exercise suggests that ECGs are of much greater value when acquired real-time during the actual training. The availability of immediate diagnostic data will greatly reduce the time taken to administer the appropriate resuscitation. Important factors to consider in the implementation of this solution are: - cost of overall system, accuracy of signals acquired and unobtrusive design. In this paper, we evaluate a system using printed sensors made of inks with functional properties to acquire ECGs of athletes and soldiers during physical training and basic military training respectively. Using Zigbee, we show that athletes and soldiers can be monitored in real time, simultaneously.

Paper Details

Date Published: 9 April 2013
PDF: 6 pages
Proc. SPIE 8691, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2013, 869108 (9 April 2013); doi: 10.1117/12.2009861
Show Author Affiliations
Prashanth S. Kumar, The Univ. of Arkansas (United States)
Sechang Oh, The Univ. of Arkansas (United States)
Hyeokjun Kwon, The Univ. of Arkansas (United States)
Pratyush Rai, The Univ. of Arkansas (United States)
Vijay K. Varadan, The Univ. of Arkansas (United States)
Pennsylvania State Univ. (United States)
Global Institute of Nanotechnology in Engineering and Medicine, Inc. (United States)


Published in SPIE Proceedings Vol. 8691:
Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2013
Vijay K. Varadan, Editor(s)

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