Publications [#279770] of Farshid Guilak

Papers Published

1. Dorsett, TJ; Guilak, F; Taylor, LA, Real-time ventricular arrhythmia detection system based on the KL transform and sequential-hypothesis testing, Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, vol. 17 no. 2 (1995), pp. 1007-1008
   (last updated on 2019/06/30)

   Abstract:
   The single lead arrhythmia detection system described in this paper uses the Karhunen-Loeve (KL) transform for clustering of QRS complexes of like morphology. A heuristic rule set is employed to label the beats as Normal or Ventricular. In parallel with the beat detection and labeling algorithm is a life-threatening arrhythmia (LTA) detection algorithm which relies on sequential hypothesis testing to detect V-Fib or V-Tach. Average performance for both algorithms is above 90% in testing with both the MIT and AHA databases.