Bulletin of RSMU

REVIEW

ECG-based biometric identification: some modern approaches

Astapov AA¹, Davydov DV², Egorov AI¹, Drozdov DV², Glukhovskij EM¹

¹ Laboratory of Medical Instrumentation Engineering,
Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow oblast, Russia

² OOO Altomedika, Moscow, Russia

Correspondence should be addressed: Artem Astapov
Institutskiy per. 9, str. 7, Dolgoprudny, Moskovskaya oblast, Russia, 141700; ude.hcetsyhp@vopatsa.metra

About paper

Received: 2015-12-07 Accepted: 2015-12-31 Published online: 2017-01-05

Fig. 1. ECG feature combination [15]

Fig. 2. A signal aligned by R-peak [22]

Fig. 3. The LPC spectrum of different subjects [18]

Fig. 4. Neural network structure

Summary of ECG based human identification results reviewed in this work

Archive

2016 / 01

REVIEW

ECG-based biometric identification: some modern approaches