Human identification by simultaneous recording of acceleration and ECG data (CROSBI ID 631419)
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Podaci o odgovornosti
Luetić, I. ; Celić, L. ; Batoš, V. ; Magjarević, R.
engleski
Human identification by simultaneous recording of acceleration and ECG data
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.
Biometrics ; Electrocardiogram (ECG) ; Gait ; Human identification
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Podaci o prilogu
38-41.
2015.
objavljeno
Podaci o matičnoj publikaciji
IFMBE Proceeding Volume 45
Springer
978-331911127-8
Podaci o skupu
Nepoznat skup
poster
29.02.1904-29.02.2096