ECG monitoring systems: Review, architecture, processes, and key challenges
Health monitoring and its related technologies is an attractive research area. The
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …
electrocardiogram (ECG) has always been a popular measurement scheme to assess and …
Heart monitoring systems—A review
To diagnose health status of the heart, heart monitoring systems use heart signals produced
during each cardiac cycle. Many types of signals are acquired to analyze heart functionality …
during each cardiac cycle. Many types of signals are acquired to analyze heart functionality …
Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography
This paper performs a thorough security analysis of a chaotic image encryption algorithm
based on autoblocking and electrocardiography from the view point of modern cryptography …
based on autoblocking and electrocardiography from the view point of modern cryptography …
Selective encryption on ECG data in body sensor network based on supervised machine learning
Abstract Body Sensor Networks (BSNs) are developing rapidly in recent years as it
combines the Internet-of-Things (IoT) and data analytic techniques for building a remote …
combines the Internet-of-Things (IoT) and data analytic techniques for building a remote …
A federated learning and blockchain framework for physiological signal classification based on continual learning
A key challenge of physiological signal processing in the Internet of Medical Things is that
physiological signals usually have dynamic distribution changes. Another challenge is that …
physiological signals usually have dynamic distribution changes. Another challenge is that …
A novel ECG data compression method using adaptive fourier decomposition with security guarantee in e-health applications
This paper presents a novel electrocardiogram (ECG) compression method for e-health
applications by adapting an adaptive Fourier decomposition (AFD) algorithm hybridized with …
applications by adapting an adaptive Fourier decomposition (AFD) algorithm hybridized with …
ECG data encryption then compression using singular value decomposition
TY Liu, KJ Lin, HC Wu - IEEE journal of biomedical and health …, 2017 - ieeexplore.ieee.org
Electrocardiogram (ECG) monitoring systems are widely used in healthcare. ECG data must
be compressed for transmission and storage. Furthermore, there is a need to be able to …
be compressed for transmission and storage. Furthermore, there is a need to be able to …
[HTML][HTML] Artificial intelligence–based ethical hacking for health information systems: simulation study
Background Health information systems (HISs) are continuously targeted by hackers, who
aim to bring down critical health infrastructure. This study was motivated by recent attacks on …
aim to bring down critical health infrastructure. This study was motivated by recent attacks on …
Adaptive dictionary reconstruction for compressed sensing of ECG signals
D Craven, B McGinley, L Kilmartin… - IEEE journal of …, 2016 - ieeexplore.ieee.org
This paper proposes a novel adaptive dictionary (AD) reconstruction scheme to improve the
performance of compressed sensing (CS) with electrocardiogram signals (ECG). The …
performance of compressed sensing (CS) with electrocardiogram signals (ECG). The …
Retracted article: Medical data security for healthcare applications using hybrid lightweight encryption and swarm optimization algorithm
K Tamilarasi, A Jawahar - Wireless Personal Communications, 2020 - Springer
In medical field, securing every patient's record is main concern, ascribed to many fraudulent
cases occurring in the health sector. The data of every individual must be engraved and sent …
cases occurring in the health sector. The data of every individual must be engraved and sent …