Pregled bibliografske jedinice broj: 794415
Human identification by simultaneous recording of acceleration and ECG data
Human identification by simultaneous recording of acceleration and ECG data // IFMBE Proceeding Volume 45
Dubrovnik, Hrvatska: Springer, 2015. str. 38-41 (poster, nije recenziran, sažetak, ostalo)
CROSBI ID: 794415 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Human identification by simultaneous recording of acceleration and ECG data
Autori
Luetić, I. ; Celić, L. ; Batoš, V. ; Magjarević, R.
Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, ostalo
Izvornik
IFMBE Proceeding Volume 45
/ - : Springer, 2015, 38-41
ISBN
978-331911127-8
Skup
MBEC 2014
Mjesto i datum
Dubrovnik, Hrvatska, 07.09.2014
Vrsta sudjelovanja
Poster
Vrsta recenzije
Nije recenziran
Ključne riječi
Biometrics ; Electrocardiogram (ECG) ; Gait ; Human identification
Sažetak
This paper presents a method of human identification based on ensemble empirical mode decomposition (EEMD) of an one-lead electrocardiogram (ECG) signal and by box approximation geometry of reconstructed attractors in latent space of a signal measured by an accelerometer located on the waist. Preprocessing of the ECG signal eliminates effects of noise and heart rate variability. The ECG signal is decomposed into a number of intrinsic mode functions (IMFs) and significant heartbeat signal features are extracted using Welch spectral analysis. Human gait is considered a dynamical system and the features are the eigenvalues of the reconstructed attractor in the odd principal dimensions obtained using the Singular Spectrum Analysis methodology. The Knearest neighbours (K-NN) method is applied as the classifier tool. © Springer International Publishing Switzerland 2015.
Izvorni jezik
Engleski
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
