IoT-based telemedicine for disease prevention and health promotion: State-of-the-Art
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 …
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 …
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 …
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 …
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
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 …
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 …
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
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 …
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
In a reconfigurable intelligent surface (RIS) aided communication network, a RIS equipped
with multiple passive reflecting elements assists in extending the coverage of wireless …
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 …
technologies, sensors, hardware, and software. IoT cutting-edge technologies and Artificial …
Secured healthcare monitoring for remote patient using energy-efficient IoT sensors
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 …
providing on-time medical support for patients by storing and accessing their clinical data on …