[HTML][HTML] Iot-cloud-based smart healthcare monitoring system for heart disease prediction via deep learning

AA Nancy, D Ravindran, PMD Raj Vincent… - Electronics, 2022 - mdpi.com
The Internet of Things confers seamless connectivity between people and objects, and its
confluence with the Cloud improves our lives. Predictive analytics in the medical domain can …

A systematic review of emerging information technologies for sustainable data-centric health-care

A Zahid, JK Poulsen, R Sharma… - International Journal of …, 2021 - Elsevier
Abstract Background Of the Sustainable Development Goals (SDGs), the third presents the
opportunity for a predictive universal digital healthcare ecosystem, capable of informing …

ICT in nursing and patient healthcare management: sco** review and case studies

S Jayousi, C Barchielli, M Alaimo, S Caputo, M Paffetti… - Sensors, 2024 - mdpi.com
Over the past few decades, Information and Communication Technologies (ICT) have
revolutionized the fields of nursing and patient healthcare management. This sco** review …

Reliable and resilient AI and IoT-based personalised healthcare services: A survey

N Taimoor, S Rehman - IEEE Access, 2021 - ieeexplore.ieee.org
Recent technological (eg, IoT, 5G), and economic (eg, UN 2030 Sustainable Development
Goals) developments have transformed the healthcare sector towards more personalized …

Prediction of biomedical signals using deep learning techniques

K Kalaivani, PR Kshirsagarr… - Journal of Intelligent …, 2023 - content.iospress.com
The electrocardiogram (ECG), electroencephalogram (EEG), and electromyogram (EMG)
are all very useful diagnostic techniques. The widespread availability of mobile devices plus …

Smart cardiac framework for an early detection of cardiac arrest condition and risk

A Shah, S Ahirrao, S Pandya, K Kotecha… - Frontiers in Public …, 2021 - frontiersin.org
Cardiovascular disease (CVD) is considered to be one of the most epidemic diseases in the
world today. Predicting CVDs, such as cardiac arrest, is a difficult task in the area of …

Exploring the factors influencing adoption of health-care wearables among generation Z consumers in India

B Nayak, SS Bhattacharyya, S Kumar… - Journal of Information …, 2022 - emerald.com
Purpose The purpose of this study is to identify the major factors influencing the adoption of
health-care wearables in generation Z (Gen Z) customers in India. A conceptual framework …

e-Health monitoring system with diet and fitness recommendation using machine learning

D Mogaveera, V Mathur… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Nowadays, more individuals are being diagnosed with diseases that are becoming chronic
due to not following the proper diet, not doing proper exercise regularly, or not giving proper …

AI-Driven cardiac wellness: Predictive modeling for elderly heart health optimization

K Mani, KK Singh, R Litoriya - Multimedia Tools and Applications, 2024 - Springer
The integration of the Internet of Things with the Cloud improves our lives by facilitating
smooth connections between people and items. Predictive analytics, fueled by cutting-edge …

Changing perspective on data in designing for active environments

L van Renswouw, S Bogers, C Lallemand… - Proceedings of the …, 2024 - dl.acm.org
Smart solutions provide increasing quality and availability of data. This brings new
challenges for designers as it offers novel design opportunities and interlaces disciplines. At …