[HTML][HTML] 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 …
The role of Information and Communication Technologies in healthcare: taxonomies, perspectives, and challenges
Abstract Progress in Information and Communication Technologies (ICTs) is shaping more
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
and more the healthcare domain. ICTs adoption provides new opportunities, as well as …
IoT equipped intelligent distributed framework for smart healthcare systems
Now days, the fundamental aim of the healthcare sector is to incorporate different
technologies to observe and keep a track of the various clinical parameters of the patients in …
technologies to observe and keep a track of the various clinical parameters of the patients in …
LSTM-based ECG classification for continuous monitoring on personal wearable devices
S Saadatnejad, M Oveisi… - IEEE journal of biomedical …, 2019 - ieeexplore.ieee.org
Objective: A novel electrocardiogram (ECG) classification algorithm is proposed for
continuous cardiac monitoring on wearable devices with limited processing capacity …
continuous cardiac monitoring on wearable devices with limited processing capacity …
Wearable sensing and telehealth technology with potential applications in the coronavirus pandemic
Coronavirus disease 2019 (COVID-19) has emerged as a pandemic with serious clinical
manifestations including death. A pandemic at the large-scale like COVID-19 places …
manifestations including death. A pandemic at the large-scale like COVID-19 places …
[HTML][HTML] Brain tumor analysis empowered with deep learning: A review, taxonomy, and future challenges
Deep Learning (DL) algorithms enabled computational models consist of multiple
processing layers that represent data with multiple levels of abstraction. In recent years …
processing layers that represent data with multiple levels of abstraction. In recent years …
Based real time remote health monitoring systems: A review on patients prioritization and related" big data" using body sensors information and communication …
The growing worldwide population has increased the need for technologies, computerised
software algorithms and smart devices that can monitor and assist patients anytime and …
software algorithms and smart devices that can monitor and assist patients anytime and …
[HTML][HTML] A scoping review of cloud computing in healthcare
L Griebel, HU Prokosch, F Köpcke… - BMC medical informatics …, 2015 - Springer
Background Cloud computing is a recent and fast growing area of development in
healthcare. Ubiquitous, on-demand access to virtually endless resources in combination …
healthcare. Ubiquitous, on-demand access to virtually endless resources in combination …
[HTML][HTML] Real-time remote-health monitoring systems: a review on patients prioritisation for multiple-chronic diseases, taxonomy analysis, concerns and solution …
Remotely monitoring a patient's condition is a serious issue and must be addressed.
Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies …
Remote health monitoring systems (RHMS) in telemedicine refers to resources, strategies …
Hierarchical deep learning with Generative Adversarial Network for automatic cardiac diagnosis from ECG signals
Cardiac disease is the leading cause of death in the US. Accurate heart disease detection is
critical to timely medical treatment to save patients' lives. Routine use of the …
critical to timely medical treatment to save patients' lives. Routine use of the …