Automated On-line Data Analysis During Electrophysiological Studies in Humans

We have developed a microprocessor-based system which analyses on-line four channels of data: two endocavitary electrograms, a surface ECG and a pacemaker stimulus. The system detects the stimulus as well as atrial, His and ventricular waves and measures the time-intervals between them in real-time. Preliminary measurements have been made on 31 patients chosen at random and include different conditions like sinus rhythm, acute drug tests and programmed atrial pacing. Comparison between computer-determined and manual-determined intervals gives correlation coefficients always greater than 0.85.