Real-time classification of ECGs on a PDA.
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.
Rodríguez
Jimena
J
Computer Language and Systems Department, University of Basque Country, Donostia, San Sebastián Apdo 649 (20080), Spain. jibroarf@si.ehu.es
Goñi
Alfredo
A
Illarramendi
Arantza
A
D000465:Algorithms; D001185:Artificial Intelligence; D003199:Computer Systems; D034201:Computers, Handheld; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D015716:Electrocardiography, Ambulatory / Q000379:methods*; D006339:Heart Rate / Q000502:physiology*; D006801:Humans; D009862:Online Systems; D010363:Pattern Recognition, Automated / Q000379:methods*; D010827:Physiology; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity