Title :
Comparison of malfunction diagnosis sensibility for direct and inverse ECG signal processing methods
Author :
Szilágyi, S.M. ; Benyó, Z. ; Szilágyi, L.
Author_Institution :
Dept. of Control Eng. & Inf. Technol., Budapest Univ. of Technol. & Econ., Hungary
Abstract :
Several types of heart malfunctions are usually caused by heart attack, rhythm disturbances and pathological degenerations. Unfortunately large groups of people are affected by this problem. The main goal of this paper is to compare the direct and inverse ECG signal processing methods, and to define an optimal solution in different circumstances. Due to the high number of unknown parameters, both algorithms apply stochastic processing methods. None of the processing ways can give us "best" results. The performance is determined by the known and unknown parameters. In most cases both methods can contribute to the optimal solution.
Keywords :
diseases; electrocardiography; inverse problems; medical signal processing; stochastic processes; direct ECG signal processing methods; electrodiagnostics; heart attack; heart model; inverse ECG signal processing methods; malfunction diagnosis sensibility comparison; optimal solution; pathological degenerations; rhythm disturbances; stochastic processing methods; unknown parameters; Adaptive filters; Adaptive systems; Cardiac arrest; Databases; Electrocardiography; Heart; Neural networks; Signal analysis; Signal processing; Signal processing algorithms;
Conference_Titel :
Engineering in Medicine and Biology, 2002. 24th Annual Conference and the Annual Fall Meeting of the Biomedical Engineering Society EMBS/BMES Conference, 2002. Proceedings of the Second Joint
Print_ISBN :
0-7803-7612-9
DOI :
10.1109/IEMBS.2002.1134474