Paper data
Title:
Using stochastic complexity for ECG signal analysis Author(s): Aldea Rafael, Institute of Signal Processing, Tampere University of Technology, Finland Giurcaneanu Ciprian Doru, Institute of Signal Processing, Tampere University of Technology, Finland Page numbers in the proceedings: Volume III pp 391-394 Session: Applications
Paper abstract
Applying the MDL based digital signal segmentation method, a new QRS detection algorithm is designed and tested. It is experimentally shown that the algorithm performs better than other 11 algorithms, in terms of False Positive/False Negative estimations. The newly defined Weighted Diagnostic Distortion (WDD) measure is computed for annotated files from MIT-BIH database to evaluate the accuracy of the detection algorithm and, also, to verify how well the P,T-waves are conserved by the broken line approximation.
Paper
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