Abstract:
This paper presents a software package that has been developed to help physicians in detecting the existence of the Wolff-Parkinson-White (WPW) syndrome in a patient and the location of the accessory pathway in the human heart using D'Avilla's and Iturralde's algorithms. On his personal computer, a physician is able to load the ECG file of the patient, check for the WPW syndrome, and determine its location. The program has been tested on 107 patients, with a success rate of 93 percent. As for the two algorithms that detect the location of the syndrome (if it exists) in the human heart, D'Avilla's Algorithm worked for 70 percent of the patients with WPW where Iturralde's Algorithm worked for 75 percent of these patients.
Citation:
Khoury, M., Kabalan, K. Y., Sharafeddine, S., Safa, O., & Haddad, R. (2000). A Software detector of the Wolff-Parkinson-White (WPW) Syndrome. Journal of Clinical Engineering, 25(6), 328-331.