IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art

AS Albahri, JK Alwan, ZK Taha, SF Ismail… - Journal of Network and …, 2021 - Elsevier
Numerous studies have focused on making telemedicine smart through the Internet of
Things (IoT) technology. These works span a wide range of research areas to enhance …

[HTML][HTML] mHealth apps for self-management of cardiovascular diseases: a scoping review

NA Cruz-Ramos, G Alor-Hernández… - Healthcare, 2022 - mdpi.com
The use of mHealth apps for the self-management of cardiovascular diseases (CVDs) is an
increasing trend in patient-centered care. In this research, we conduct a scoping review of …

An efficient clinical support system for heart disease prediction using TANFIS classifier

J Sekar, P Aruchamy… - Computational …, 2022 - Wiley Online Library
In today's world, the advancement of telediagnostic equipment plays an essential role to
monitor heart disease. The earlier diagnosis of heart disease proliferates the compatibility of …

CovidDeep: SARS-CoV-2/COVID-19 test based on wearable medical sensors and efficient neural networks

S Hassantabar, N Stefano, V Ghanakota… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
The novel coronavirus (SARS-CoV-2) has led to a pandemic. The current testing regime
based on Reverse Transcription-Polymerase Chain Reaction for SARS-CoV-2 has been …

IoT-based ECG monitoring for arrhythmia classification using Coyote Grey Wolf optimization-based deep learning CNN classifier

A Kumar, SA Kumar, V Dutt, AK Dubey… - … Signal Processing and …, 2022 - Elsevier
An electrocardiogram (ECG) is extensively used to evaluate the heart condition that can lead
to further investigate heart ailments detection of heart diseases. The process is simple …

Homecare-oriented ECG diagnosis with large-scale deep neural network for continuous monitoring on embedded devices

S Ran, X Yang, M Liu, Y Zhang… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The accurate electrocardiogram (ECG) interpretation is important for several potentially life-
threatening cardiac diseases. Recently developed deep learning methods show their ability …

[HTML][HTML] Unlocking insights in iot-based patient monitoring: Methods for encompassing large-data challenges

M Waleed, T Kamal, TW Um, A Hafeez, B Habib… - Sensors, 2023 - mdpi.com
The remote monitoring of patients using the internet of things (IoT) is essential for ensuring
continuous observation, improving healthcare, and decreasing the associated costs (ie …

Joint active and passive beamforming design for RIS-aided IBFD IoT communications: QoS and power efficiency considerations

K Singh, PC Wang, S Biswas, SK Singh… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In a reconfigurable intelligent surface (RIS) aided communication network, a RIS equipped
with multiple passive reflecting elements assists in extending the coverage of wireless …

[HTML][HTML] E-Cardiac care: A comprehensive systematic literature review

U Umar, S Nayab, R Irfan, MA Khan, A Umer - Sensors, 2022 - mdpi.com
The Internet of Things (IoT) is a complete ecosystem encompassing various communication
technologies, sensors, hardware, and software. IoT cutting-edge technologies and Artificial …

Secured healthcare monitoring for remote patient using energy-efficient IoT sensors

B Kapoor, B Nagpal, M Alharbi - Computers and Electrical Engineering, 2023 - Elsevier
Abstract The Internet of Things (IoT) and cloud computing are found to be effective in
providing on-time medical support for patients by storing and accessing their clinical data on …