A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
AN Uwaechia, DA Ramli - IEEE Access, 2021 - ieeexplore.ieee.org
Electrocardiogram (ECG) has extremely discriminative characteristics in the biometric field
and has recently received significant interest as a promising biometric trait. However, ECG …
and has recently received significant interest as a promising biometric trait. However, ECG …
Robustness of electrocardiogram signal quality indices
S Rahman, C Karmakar… - Journal of the …, 2022 - royalsocietypublishing.org
Electrocardiogram (ECG) signal quality indices (SQIs) are essential for improving diagnostic
accuracy and reliability of ECG analysis systems. In various practical applications, the ECG …
accuracy and reliability of ECG analysis systems. In various practical applications, the ECG …
ECG biometric authentication based on non-fiducial approach using kernel methods
Identity recognition faces several challenges especially in extracting an individual's unique
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …
features from biometric modalities and pattern classifications. Electrocardiogram (ECG) …
Finger ECG signal for user authentication: Usability and performance
Over the past few years, the evaluation of Electrocardio-graphic (ECG) signals as a
prospective biometric modality has revealed promising results. Given the vital and …
prospective biometric modality has revealed promising results. Given the vital and …
A wireless power transfer based implantable ECG monitoring device
Implantable medical devices (IMDs) enable patients to monitor their health anytime and
receive treatment anywhere. However, due to the limited capacity of a battery, their …
receive treatment anywhere. However, due to the limited capacity of a battery, their …
A survey on modality characteristics, performance evaluation metrics, and security for traditional and wearable biometric systems
Biometric research is directed increasingly toward Wearable Biometric Systems (WBS) for
user authentication and identification. However, prior to engaging in WBS research, how …
user authentication and identification. However, prior to engaging in WBS research, how …
ELEKTRA: ELEKTRokardiomatrix application to biometric identification with convolutional neural networks
Biometric systems are an uprising technique of identification in today's world. Many different
systems have been used in everyone's daily life in the past years, such as fingerprint, face …
systems have been used in everyone's daily life in the past years, such as fingerprint, face …
CardioWheel: ECG biometrics on the steering wheel
Monitoring physiological signals while driving is a recent trend in the automotive industry.
We present CardioWheel, a state-of-the-art machine learning solution for driver biometrics …
We present CardioWheel, a state-of-the-art machine learning solution for driver biometrics …
ECG based biometric authentication using ensemble of features
In this work, the efficacy of various features on electrocardiogram (ECG) based biometric
authentication process is thoroughly examined. In particular, the features acquired from …
authentication process is thoroughly examined. In particular, the features acquired from …
Heart-based biometrics and possible use of heart rate variability in biometric recognition systems
Heart rate variability (HRV) is an intrinsic property of heart and active research domain of the
medical research community since last two decades. But in biometrics it is still in its infancy …
medical research community since last two decades. But in biometrics it is still in its infancy …