Smart wearables for the detection of cardiovascular diseases: a systematic literature review
Background: The advancement of information and communication technologies and the
growing power of artificial intelligence are successfully transforming a number of concepts …
growing power of artificial intelligence are successfully transforming a number of concepts …
A powerful paradigm for cardiovascular risk stratification using multiclass, multi-label, and ensemble-based machine learning paradigms: A narrative review
Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …
mortality globally. With escalating healthcare costs, early non-invasive CVD risk assessment …
[HTML][HTML] Deep learning in mHealth for cardiovascular disease, diabetes, and cancer: systematic review
Background: Major chronic diseases such as cardiovascular disease (CVD), diabetes, and
cancer impose a significant burden on people and health care systems around the globe …
cancer impose a significant burden on people and health care systems around the globe …
Liquid metal–polymer conductor-based conformal cyborg devices
Gallium-based liquid metal (LM) exhibits exceptional properties such as high conductivity
and biocompatibility, rendering it highly valuable for the development of conformal …
and biocompatibility, rendering it highly valuable for the development of conformal …
An IoT and fog computing-based monitoring system for cardiovascular patients with automatic ECG classification using deep neural networks
Telemedicine and all types of monitoring systems have proven to be a useful and low-cost
tool with a high level of applicability in cardiology. The objective of this work is to present an …
tool with a high level of applicability in cardiology. The objective of this work is to present an …
Advances of ecg sensors from hardware, software and format interoperability perspectives
It is well-known that cardiovascular disease is one of the major causes of death worldwide
nowadays. Electrocardiogram (ECG) sensor is one of the tools commonly used by …
nowadays. Electrocardiogram (ECG) sensor is one of the tools commonly used by …
Employing of machine learning and wearable devices in healthcare system: tasks and challenges
HS Saad, JFW Zaki, MM Abdelsalam - Neural Computing and Applications, 2024 - Springer
Disease outbreaks are nowadays a critical issue despite the development and rapid growth
of technology. One of the major challenges facing healthcare professionals and healthcare …
of technology. One of the major challenges facing healthcare professionals and healthcare …
A comparative study and analysis of LSTM deep neural networks for heartbeats classification
S Hiriyannaiah, S GM, K MHM, KG Srinivasa - Health and Technology, 2021 - Springer
Heart diseases and their diagnosis has become a predominant topic in Healthcare systems
as the heart is one of the pivotal parts of the human body. Electrocardiogram (ECG) signal …
as the heart is one of the pivotal parts of the human body. Electrocardiogram (ECG) signal …
[HTML][HTML] A Narrowband IoT Personal Sensor for Long-Term Heart Rate Monitoring and Atrial Fibrillation Detection
Long-term patient monitoring is required for detection of episodes of atrial fibrillation, one of
the most widespread cardiac pathologies. Today, the most used non-invasive technique is …
the most widespread cardiac pathologies. Today, the most used non-invasive technique is …
Benchmarking deep learning frameworks for automated diagnosis of OCULAR TOXOPLASMOSIS: A comprehensive approach to classification and segmentation
Diagnosis of Ocular toxoplasmosis (OT) usually involves clinical examination and imaging,
which can be expensive and require specialized personnel. The use of artificial intelligence …
which can be expensive and require specialized personnel. The use of artificial intelligence …