Author/Editor     Gorup, Žarko; Štajer, Dušan; Noč, Marko
Title     Signal analysis systems for optimal timing of electrical defibrillation
Type     članek
Source     In: Pattichis CS, Panis S, editors. Information technology and electrotehnology for the Mediaterranean countries. Vol 2. Signal and image processing. Proceedings of the 10th Mediterranean electrotechnical conference - MEleCon 2000; 2000 May 29-31; Lemesos, Cyprus. Nicosia: Univesity of Cyprus, Department of computer science,
Publication year     2000
Volume     str. 694-7
Language     eng
Abstract     In patients with ventricular fibrillation, some parameters of the spectral analysis of the electrocardiogram (ECG) appeared as promising tools for prediction of success of electrical defibrillation. During the past, a research work on data acquisition and analysis of ventricular fibrillation signal by means of three different systems has been performed. Two of the hardware systems are commercially available, and the third one is a custom-designed system. The systems offer various advantages and disadvantages. Electronic module based on a portable personal computer (PC) hardware and software was unly suitable for clinical research. The battery powered microprocessor based data acquisition (DAQ) system has a long autonomy, small dimensions, and small weight, but it lacks mathematical capability and gives no on-line results. The custom designed DAQ and digital signal processor (DSP) module can be utilized outdoors by the emergency resuscitation team. Basically, all systems have analog input where the input signal is cvnditioned (filtered, amplified and limited) and converted tv digital data in about 20 microseconds. Internal system random access memory (RAM) is used as temporary data storage. On the DSP based system results of the spectral analysis for 1024 points are obtained in 100 milliseconds. Final result is immediately displayed to facilitate the decision-making for the use of defibrillator.
Descriptors     SIGNAL PROCESSING, COMPUTER-ASSISTED
VENTRICULAR FIBRILLATION
ELECTROCARDIOGRAPHY
ELECTRIC COUNTERSHOCK
FOURIER ANALYSIS
TIME FACTORS