Internet of medical things and healthcare 4.0: Trends, requirements, challenges, and research directions
Healthcare 4.0 is a recent e-health paradigm associated with the concept of Industry 4.0. It
provides approaches to achieving precision medicine that delivers healthcare services …
provides approaches to achieving precision medicine that delivers healthcare services …
[HTML][HTML] Technologies for non-invasive physiological sensing: Status, challenges, and future horizons
Non-invasive techniques have become increasingly vital in modern medicine, providing
valuable diagnostic information without invasive procedures. These techniques encompass …
valuable diagnostic information without invasive procedures. These techniques encompass …
Biometric recognition based on scalable end-to-end convolutional neural network using photoplethysmography: A comparative study
Photoplethysmography (PPG), as one of the most widely used physiological signals on
wearable devices, with dominance for portability and accessibility, is an ideal carrier of …
wearable devices, with dominance for portability and accessibility, is an ideal carrier of …
[HTML][HTML] MultiCardioNet: Interoperability between ECG and PPG biometrics
Compared to other well-known biometric technologies based on physiological traits (eg,
fingerprint, iris, and face), heart biometrics are more robust to presentation attacks and are …
fingerprint, iris, and face), heart biometrics are more robust to presentation attacks and are …
Biowish: Biometric recognition using wearable inertial sensors detecting heart activity
Wearable devices have been recently proposed to perform biometric recognition, leveraging
on the uniqueness of the collectable physiological traits to generate discriminative …
on the uniqueness of the collectable physiological traits to generate discriminative …
A Novel PPG-Based Biometric Authentication System Using a Hybrid CVT-ConvMixer Architecture with Dense and Self-Attention Layers
Biometric authentication is a widely used method for verifying individuals' identities using
photoplethysmography (PPG) cardiac signals. The PPG signal is a non-invasive optical …
photoplethysmography (PPG) cardiac signals. The PPG signal is a non-invasive optical …
PulseOblivion: An Effective Session-Based Continuous Authentication Scheme Using PPG Signals
HA Aly, R Di Pietro - IEEE Access, 2023 - ieeexplore.ieee.org
In this paper, we propose a novel session-based continuous authentication model using
photoplethysmography (PPG). Unlike previous PPG-based authentication techniques that …
photoplethysmography (PPG). Unlike previous PPG-based authentication techniques that …
A Lightweight Hybrid Model Using Multiscale Markov Transition Field for Real-Time Quality Assessment of Photoplethysmography Signals
Objective: The proliferation of wearable devices has escalated the standards for
photoplethysmography (PPG) signal quality. This study introduces a lightweight model to …
photoplethysmography (PPG) signal quality. This study introduces a lightweight model to …
Heart ID: Biometric Identification Using Wearable MIMO RF Heart Sensors
Biometric identification (ID) has become increasingly prevalent in the digital era. Static
biometric methods, such as fingerprint and facial recognition are widely accepted, yet …
biometric methods, such as fingerprint and facial recognition are widely accepted, yet …
Sigd: A cross-session dataset for ppg-based user authentication in different demographic groups
Recently, unobservable physiological signals have received widespread attention from
researchers as unique identifiers of users in biometrics. However, due to the lack of data …
researchers as unique identifiers of users in biometrics. However, due to the lack of data …