Development of an ECG identification system

The purpose of this paper is to present a new identification engine for an ECG identification system. The system identifies subjects based on a comparison of a patient's ECG with previously registered ECG feature parameters. These feature parameters are sampled from the intervals and durations of the electrocardiographic waves extracted using characteristic points appearing on the waveform of the second order derivative and are identified using discriminant analysis. Suitable combinations of feature parameters are selected and the accuracy of the proposed technique verified using ECGs from nine normal subjects.