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A survey on ECG analysis
The electrocardiogram (ECG) signal basically corresponds to the electrical activity of the
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
heart. In the literature, the ECG signal has been analyzed and utilized for various purposes …
A comprehensive survey on ECG signals as new biometric modality for human authentication: Recent advances and future challenges
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 …
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 …
Towards a continuous biometric system based on ECG signals acquired on the steering wheel
Electrocardiogram signals acquired through a steering wheel could be the key to seamless,
highly comfortable, and continuous human recognition in driving settings. This paper …
highly comfortable, and continuous human recognition in driving settings. This paper …
Individual identification via electrocardiogram analysis
Background During last decade the use of ECG recordings in biometric recognition studies
has increased. ECG characteristics made it suitable for subject identification: it is unique …
has increased. ECG characteristics made it suitable for subject identification: it is unique …
[HTML][HTML] An intelligent multimodal biometric authentication model for personalised healthcare services
With the advent of modern technologies, the healthcare industry is moving towards a more
personalised smart care model. The enablers of such care models are the Internet of Things …
personalised smart care model. The enablers of such care models are the Internet of Things …
Robust deep identification using ECG and multimodal biometrics for industrial internet of things
The use of electrocardiogram (ECG) data for personal identification in Industrial Internet of
Things can achieve near-perfect accuracy in an ideal condition. However, real-life ECG data …
Things can achieve near-perfect accuracy in an ideal condition. However, real-life ECG data …
a-DCF: an architecture agnostic metric with application to spoofing-robust speaker verification
Spoofing detection is today a mainstream research topic. Standard metrics can be applied to
evaluate the performance of isolated spoofing detection solutions and others have been …
evaluate the performance of isolated spoofing detection solutions and others have been …
Long-term wearable electrocardiogram signal monitoring and analysis based on convolutional neural network
Wearable devices are increasingly popular for health monitoring via electrocardiograms
(ECGs) as they can portably monitor heart conditions over a long time. However, so far there …
(ECGs) as they can portably monitor heart conditions over a long time. However, so far there …
[PDF][PDF] Mechanisms of Authentication toward Habitude Pattern Lock and ECG: An overview.
Smartphones contain access to user-sensitive information such as contacts, e-mails, e-
payments among others. Therefore, it is imperative that proper smartphone authentication …
payments among others. Therefore, it is imperative that proper smartphone authentication …