Context aware body area networks for telemedicine
PCM'07 Proceedings of the multimedia 8th Pacific Rim conference on Advances in multimedia information processing
Secure evaluation of private linear branching programs with medical applications
ESORICS'09 Proceedings of the 14th European conference on Research in computer security
Prognosis: a wearable health-monitoring system for people at risk: methodology and modeling
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
IEEE Transactions on Information Technology in Biomedicine - Special section on new and emerging technologies in bioinformatics and bioengineering
Real-time detection of apneas on a PDA
IEEE Transactions on Information Technology in Biomedicine
Quadratic Programming Feature Selection
The Journal of Machine Learning Research
ITBAM'10 Proceedings of the First international conference on Information technology in bio- and medical informatics
iCare: A Mobile Health Monitoring System for the Elderly
GREENCOM-CPSCOM '10 Proceedings of the 2010 IEEE/ACM Int'l Conference on Green Computing and Communications & Int'l Conference on Cyber, Physical and Social Computing
Superiority real-time cardiac arrhythmias detection using trigger learning method
ITBAM'11 Proceedings of the Second international conference on Information technology in bio- and medical informatics
An intelligent system for assisting elderly people
ISMIS'05 Proceedings of the 15th international conference on Foundations of Intelligent Systems
A wearable kids' health monitoring system on smartphone
Proceedings of the 7th Nordic Conference on Human-Computer Interaction: Making Sense Through Design
Interactive self-adaptive clutter-aware visualisation for mobile data mining
Journal of Computer and System Sciences
A Heart Monitoring System for a Mobile Device
International Journal of Handheld Computing Research
Journal of Medical Systems
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The new advances in sensor technology, personal digital assistants (PDAs), and wireless communications favor the development of a new type of monitoring system that can provide patients with assistance anywhere and at any time. Of particular interest are the monitoring systems designed for people that suffer from heart arrhythmias, due to the increasing number of people with cardiovascular diseases. PDAs can play a very important role in these kinds of systems because they are portable devices that can execute more and more complex tasks. The main questions answered in this paper are whether PDAs can perform a complete electrocardiogram beat and rhythm classifier, if the classifier has a good accuracy, and if they can do it in real time. In order to answer these questions, in this paper, we show the steps that we have followed to build the algorithm that classifies beats and rhythms, and the obtained results, which show a competitive accuracy. Moreover, we also show the feasibility of incorporating the built algorithm into the PDA.