Smart wearables for the detection of cardiovascular diseases: a systematic literature review

M Moshawrab, M Adda, A Bouzouane, H Ibrahim… - Sensors, 2023 - mdpi.com
Background: The advancement of information and communication technologies and the
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

JS Suri, M Bhagawati, S Paul, AD Protogerou… - Diagnostics, 2022 - mdpi.com
Abstract Background and Motivation: Cardiovascular disease (CVD) causes the highest
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

A Triantafyllidis, H Kondylakis, D Katehakis… - JMIR mHealth and …, 2022 - mhealth.jmir.org
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 …

Liquid metal–polymer conductor-based conformal cyborg devices

J Qi, S Yang, Y Jiang, J Cheng, S Wang, Q Rao… - Chemical …, 2024 - ACS Publications
Gallium-based liquid metal (LM) exhibits exceptional properties such as high conductivity
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

JA Rincon, S Guerra-Ojeda, C Carrascosa, V Julian - Sensors, 2020 - mdpi.com
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 …

Advances of ecg sensors from hardware, software and format interoperability perspectives

K Husain, MS Mohd Zahid, S Ul Hassan, S Hasbullah… - Electronics, 2021 - mdpi.com
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 …

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 …

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 …

[HTML][HTML] A Narrowband IoT Personal Sensor for Long-Term Heart Rate Monitoring and Atrial Fibrillation Detection

E Cinotti, J Centracchio, S Parlato, E Andreozzi… - Sensors, 2024 - mdpi.com
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 …

Benchmarking deep learning frameworks for automated diagnosis of OCULAR TOXOPLASMOSIS: A comprehensive approach to classification and segmentation

SS Alam, SB Shuvo, SN Ali, F Ahmed, A Chakma… - IEEE …, 2024 - ieeexplore.ieee.org
Diagnosis of Ocular toxoplasmosis (OT) usually involves clinical examination and imaging,
which can be expensive and require specialized personnel. The use of artificial intelligence …