Internet of things: Device capabilities, architectures, protocols, and smart applications in healthcare domain
Nowadays, the Internet has spread to practically every country around the world and is
having unprecedented effects on people's lives. The Internet of Things (IoT) is getting more …
having unprecedented effects on people's lives. The Internet of Things (IoT) is getting more …
Measuring biosignals with single circuit boards
G Ehrmann, T Blachowicz, SV Homburg, A Ehrmann - Bioengineering, 2022 - mdpi.com
To measure biosignals constantly, using textile-integrated or even textile-based electrodes
and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes …
and miniaturized electronics, is ideal to provide maximum comfort for patients or athletes …
A review of converging technologies in eHealth pertaining to artificial intelligence
Over the last couple of years, in the context of the COVID-19 pandemic, many healthcare
issues have been exacerbated, highlighting the paramount need to provide both reliable …
issues have been exacerbated, highlighting the paramount need to provide both reliable …
Transfer learning for improved electrocardiogram diagnosis of cardiac disease: exploring the potential of pre-trained models
Predicting the onset of cardiovascular disease (CVD) has been a hot topic for researchers
for years, and recently, the concept of transfer learning has been gaining traction in this field …
for years, and recently, the concept of transfer learning has been gaining traction in this field …
Special issue editorial on emerging trends in internet of things for e‐health and medical supply chain systems.
E-health plays a crucial role during the current global pandemic, allowing online, mobile and
social media consultations and data processing for population health surveillance, case …
social media consultations and data processing for population health surveillance, case …
Recent advancements and applications of deep learning in heart failure: Α systematic review
Background Heart failure (HF), a global health challenge, requires innovative diagnostic and
management approaches. The rapid evolution of deep learning (DL) in healthcare …
management approaches. The rapid evolution of deep learning (DL) in healthcare …
[HTML][HTML] ECG-based Transfer Learning for Cardiovascular Disease: A Sco** Review
An electrocardiogram (ECG) measures the electrical activity of the heart. It is valuable for the
early detection of cardiovascular disease (CVD). Advancements in medical diagnosis using …
early detection of cardiovascular disease (CVD). Advancements in medical diagnosis using …
MyEasyHealthcare: An efficient and secure three‐tier blockchain‐based healthcare system
Blockchain systems have seen vast growth due to the immense potential in develo**
secure applications for education, healthcare, and so forth. The healthcare system is …
secure applications for education, healthcare, and so forth. The healthcare system is …
Pseudo random number generator based on chaos theory and artificial neural networks
In recent years, develo** new methods for designing Pseudo-Random Number
Generators (PRNGs) has attracted the attention of researchers for their efficiency in many …
Generators (PRNGs) has attracted the attention of researchers for their efficiency in many …
An IoT-aware system for remote monitoring of patients with chronic heart failure
The COVID-19 pandemic has highlighted the importance of remote patient monitoring,
particularly for those suffering from chronic illnesses. Such individuals require continuous …
particularly for those suffering from chronic illnesses. Such individuals require continuous …