Deep learning applications in ecg analysis and disease detection: An investigation study of recent advances
U Sumalatha, KK Prakasha, S Prabhu… - IEEE Access, 2024 - ieeexplore.ieee.org
Effective cardiovascular health monitoring relies on precise electrocardiogram (ECG)
analysis for early diagnosis and treatment of heart conditions. Recent advancements in …
analysis for early diagnosis and treatment of heart conditions. Recent advancements in …
Electrocardiogram-based biometrics for user identification–Using your heartbeat as a digital key.
External biometrics such as thumbprint and facial recognition have become standard tools
for securing our digital devices and protecting our data. These systems, however, are …
for securing our digital devices and protecting our data. These systems, however, are …
Securing Internet-of-Medical-Things networks using cancellable ECG recognition
Reinforcement of the Internet of Medical Things (IoMT) network security has become
extremely significant as these networks enable both patients and healthcare providers to …
extremely significant as these networks enable both patients and healthcare providers to …
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 …
Security enhancement of the access control scheme in IoMT applications based on fuzzy logic processing and lightweight encryption
Abstract Security of Internet-of-Medical-Things (IoMT) networks has evolved as a vital issue
in recent years. The IoMT networks are designed to link patients with caregivers. All reports …
in recent years. The IoMT networks are designed to link patients with caregivers. All reports …
Advanced time-frequency methods for ecg waves recognition
ECG wave recognition is one of the new topics where only one of the ECG beat waves (P-
QRS-T) was used to detect heart diseases. Normal, tachycardia, and bradycardia heart …
QRS-T) was used to detect heart diseases. Normal, tachycardia, and bradycardia heart …
A multi-fusion IoT authentication system based on internal deep fusion of ECG signals
B Abd El-Rahiem, M Hammad - Security and Privacy Preserving for IoT …, 2022 - Springer
Recently, the interest in using wearable devices or the internet of things (IoT)-based
biometric authentication, especially IoT-based electrocardiogram (ECG) has increased. ECG …
biometric authentication, especially IoT-based electrocardiogram (ECG) has increased. ECG …
Recognition of workers' actions from time-series signal images using deep convolutional neural network
Purpose Construction action recognition is essential to efficiently manage productivity,
health and safety risks. These can be achieved by tracking and monitoring construction …
health and safety risks. These can be achieved by tracking and monitoring construction …
ECG authentication based on non-linear normalization under various physiological conditions
HB Hwang, H Kwon, B Chung, J Lee, IY Kim - Sensors, 2021 - mdpi.com
The development and use of wearable devices require high levels of security and have
sparked interest in biometric authentication research. Among the available approaches …
sparked interest in biometric authentication research. Among the available approaches …
Electrocardiogram biometrics using transformer's self-attention mechanism for sequence pair feature extractor and flexible enrollment scope identification
KJ Chee, DA Ramli - Sensors, 2022 - mdpi.com
The existing electrocardiogram (ECG) biometrics do not perform well when ECG changes
after the enrollment phase because the feature extraction is not able to relate ECG collected …
after the enrollment phase because the feature extraction is not able to relate ECG collected …