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 …
Heart rate estimation from wrist-worn photoplethysmography: A review
D Biswas, N Simões-Capela, C Van Hoof… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Photoplethysmography (PPG) is a low-cost, non-invasive, and optical technique used to
detect blood volume changes in the microvascular tissue bed, measured from the skin …
detect blood volume changes in the microvascular tissue bed, measured from the skin …
Deep-ECG: Convolutional neural networks for ECG biometric recognition
Electrocardiographic (ECG) signals have been successfully used to perform biometric
recognition in a wide range of applications. However, ECG-based biometric systems are …
recognition in a wide range of applications. However, ECG-based biometric systems are …
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 …
[HTML][HTML] Computational diagnostic techniques for electrocardiogram signal analysis
Cardiovascular diseases (CVDs), including asymptomatic myocardial ischemia, angina,
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
myocardial infarction, and ischemic heart failure, are the leading cause of death globally …
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 …
Brain–computer interface games based on consumer-grade EEG Devices: A systematic literature review
GAM Vasiljevic, LC De Miranda - International Journal of Human …, 2020 - Taylor & Francis
ABSTRACT Brain–Computer Interfaces (BCIs) are specialized systems that allow users to
control computer applications using their brain waves. With the advent of consumer-grade …
control computer applications using their brain waves. With the advent of consumer-grade …
An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches
VA Ardeti, VR Kolluru, GT Varghese… - Expert Systems with …, 2023 - Elsevier
Over the last decade, cardiovascular diseases (CVD's) are the leading cause of death
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
globally. Early prediction of CVD's can help in reducing the complications of high-risk …
A comprehensive survey on low-cost ECG acquisition systems: Advances on design specifications, challenges and future direction
Availability of low-cost, reliable, and portable Electrocardiography (ECG) devices is still very
important in the medical world today. Despite the tremendous technological advancement …
important in the medical world today. Despite the tremendous technological advancement …
Learning deep off-the-person heart biometrics representations
EJ da Silva Luz, GJP Moreira… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
Since the beginning of the new millennium, the electrocardiogram (ECG) has been studied
as a biometric trait for security systems and other applications. Recently, with devices such …
as a biometric trait for security systems and other applications. Recently, with devices such …