Evolution, current challenges, and future possibilities in ECG biometrics
Face and fingerprint are, currently, the most thoroughly explored biometric traits, promising
reliable recognition in diverse applications. Commercial products using these traits for …
reliable recognition in diverse applications. Commercial products using these traits for …
ECG biometric with abnormal cardiac conditions in remote monitoring system
This paper presents a person identification mechanism using electrocardiogram (ECG)
signals with abnormal cardiac conditions in network environments. A total of 164 subjects …
signals with abnormal cardiac conditions in network environments. A total of 164 subjects …
Human identification driven by deep CNN and transfer learning based on multiview feature representations of ECG
Y Zhang, Z Zhao, Y Deng, X Zhang, Y Zhang - … Signal Processing and …, 2021 - Elsevier
Increasingly smart techniques for counterfeiting face and fingerprint traits have increased the
potential threats to information security systems, creating a substantial demand for improved …
potential threats to information security systems, creating a substantial demand for improved …
A lossless data-hiding based IoT data authenticity model in edge-AI for connected living
Edge computing is an emerging technology for the acquisition of Internet-of-Things (IoT)
data and provisioning different services in connected living. Artificial Intelligence (AI) …
data and provisioning different services in connected living. Artificial Intelligence (AI) …
A comparative analysis of QRS and cardioid graph based ECG biometric recognition in different physiological conditions
KA Sidek, NA Noah, TS Gunawan - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
This paper performs a comparative analysis of QRS and Cardioid Graph Based ECG
Biometric Recognition incorporating Physiological variability. Data was acquired from 30 …
Biometric Recognition incorporating Physiological variability. Data was acquired from 30 …
Identification of cardiac autonomic neuropathy patients using cardioid based graph for ECG biometric
In this paper, the application of data mining applied on Cardioid based person identification
mechanism using electrocardiogram (ECG) is presented. A total of 50 subjects with Cardiac …
mechanism using electrocardiogram (ECG) is presented. A total of 50 subjects with Cardiac …
Biometric sample extraction using Mahalanobis distance in Cardioid based graph using electrocardiogram signals
K Sidek, I Khali - 2012 Annual International Conference of the …, 2012 - ieeexplore.ieee.org
In this paper, a person identification mechanism implemented with Cardioid based graph
using electrocardiogram (ECG) is presented. Cardioid based graph has given a reasonably …
using electrocardiogram (ECG) is presented. Cardioid based graph has given a reasonably …
[PDF][PDF] Continuous biometric identification on the steering wheel
JTR Pinto - 2017 - repositorio-aberto.up.pt
For the great amount of time people spend inside them, cars have been evolving from mere
means of transport to supersized gadgets, filled with top-notch software technology to …
means of transport to supersized gadgets, filled with top-notch software technology to …
Data mining technique on Cardioid graph based ECG biometric authentication
In this paper, a data mining technique is used on Cardioid based person identification
mechanism using electrocardiogram (ECG). Recent studies in Cardioid based ECG …
mechanism using electrocardiogram (ECG). Recent studies in Cardioid based ECG …
[PDF][PDF] Development of Cardioid Based Graph ECG Heart Abnormalities Classification Technique
S Azam, NI Zainal, KA Sidek - 2006 - academia.edu
In this study, the development of Cardioid based graph electrocardiogram heart
abnormalities classification technique is presented. ECG signals in this work were acquired …
abnormalities classification technique is presented. ECG signals in this work were acquired …