Abstract
This paper describes a new method and some results of automatic detection and classification of arrhythmias in coronary care unit, on a small scale NEAC-3200 computer.
There are many kinds of arrhythmias, but in this paper we deal with important arrhythmias, for example, cardiac arrest, ventricular fibrillation, paroxysmal ventricular tachycardia and so on, that are monitored in coronary care unit.
With each sample, the results have been satisfactory and the time required for computer diagnosis of arrhythmia was less than 0.45 seconds.
As a result of these studies, it became clear that automatic monitoring in coronary care units can be practised continuously by a small scale computer and be a boon to doctors and nurses, reducing their workload and strengthening their check on patients.
