Deep learning and big data in healthcare: a double review for critical beginners
L Bote-Curiel, S Munoz-Romero, A Gerrero-Curieses… - Applied Sciences, 2019 - mdpi.com
In the last few years, there has been a growing expectation created about the analysis of
large amounts of data often available in organizations, which has been both scrutinized by …
large amounts of data often available in organizations, which has been both scrutinized by …
Biometric systems utilising health data from wearable devices: applications and future challenges in computer security
Health data are being increasingly sensed from the health-based wearable Internet of
Things (IoT) devices, providing much-needed fitness and health tracking. However, data …
Things (IoT) devices, providing much-needed fitness and health tracking. However, data …
Automated detection of myocardial infarction using a gramian angular field and principal component analysis network
G Zhang, Y Si, D Wang, W Yang, Y Sun - IEEE Access, 2019 - ieeexplore.ieee.org
Myocardial infarction (MI) is a deadly disease that threatens human life worldwide, and it is
essential to save threatened lives with early detection of MI. The electrocardiogram (ECG) …
essential to save threatened lives with early detection of MI. The electrocardiogram (ECG) …
The transition from intelligent to affective tutoring system: a review and open issues
The swelling use of computerized learning, accompanied by the rapid growth of information
technology has become a surge of interest in the research community. Consequently …
technology has become a surge of interest in the research community. Consequently …
Design and implementation of a robust noise removal system in ECG signals using dual-tree complex wavelet transform
The key deliverable for any health monitoring system that offers telecardiology services is
the recovery of the ECG signal related to cardiac diagnostics. Accurate analysis and …
the recovery of the ECG signal related to cardiac diagnostics. Accurate analysis and …
Fast and accurate algorithm for ECG authentication using residual depthwise separable convolutional neural networks
The electrocardiogram (ECG) is relatively easy to acquire and has been used for reliable
biometric authentication. Despite growing interest in ECG authentication, there are still two …
biometric authentication. Despite growing interest in ECG authentication, there are still two …
Recent advances in biometrics-based user authentication for wearable devices: A contemporary survey
In recent years, wearable technology is interwoven with our everyday lives because of its
commoditization and comfort. Security and privacy become a big concern as many user …
commoditization and comfort. Security and privacy become a big concern as many user …
A novel electrocardiogram biometric identification method based on temporal-frequency autoencoding
D Wang, Y Si, W Yang, G Zhang, J Li - Electronics, 2019 - mdpi.com
For good performance, most existing electrocardiogram (ECG) identification methods still
need to adopt a denoising process to remove noise interference beforehand. This specific …
need to adopt a denoising process to remove noise interference beforehand. This specific …
Svm for human identification using the ECG signal
In this paper, a person identification system has been simulated using electrocardiogram
(ECG) signals as biometrics. In this work, we propose a two-phase method to conduct …
(ECG) signals as biometrics. In this work, we propose a two-phase method to conduct …
A novel method for identifying electrocardiograms using an independent component analysis and principal component analysis network
W Yang, Y Si, D Wang, G Zhang - Measurement, 2020 - Elsevier
Electrocardiograms (ECGs) have been extensively utilized for diagnosing cardiovascular
abnormalities. However, due to the mixed noise and the subtle differences between ECGs, it …
abnormalities. However, due to the mixed noise and the subtle differences between ECGs, it …