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 …

Enabling technologies for fog computing in healthcare IoT systems

AA Mutlag, MK Abd Ghani, N Arunkumar… - Future generation …, 2019 - Elsevier
Context: A fog computing architecture that is geographically distributed and to which a
variety of heterogeneous devices are ubiquitously connected at the end of a network in …

Activity-aware fall detection and recognition based on wearable sensors

F Hussain, F Hussain, M Ehatisham-ul-Haq… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
Falling is a severe hazard among older adults. Fall treatment is considered to be one of the
most costly treatments, which usually extends to a long time. One bad fall can cause severe …

[HTML][HTML] Fall detection in older adults with mobile IoT devices and machine learning in the cloud and on the edge

D Mrozek, A Koczur, B Małysiak-Mrozek - Information Sciences, 2020 - Elsevier
Remote monitoring of older adults and detecting dangers in the state of human health have
become essential elements of modern telemedicine. Falls are a frequent reason for deaths …

Multiple patients behavior detection in real-time using mmWave radar and deep CNNs

F Jin, R Zhang, A Sengupta, S Cao… - 2019 IEEE Radar …, 2019 - ieeexplore.ieee.org
To address potential gaps noted in patient monitoring in the hospital, a novel patient
behavior detection system using mmWave radar and deep convolution neural network …

Development of IoT-based mhealth framework for various cases of heart disease patients

AS Albahri, AA Zaidan, OS Albahri, BB Zaidan… - Health and …, 2021 - Springer
A newly distributed fault-tolerant mHealth framework-based Internet of things (IoT) is
proposed in this study to resolve the essential problems of healthcare service provision …

Serverless management of sensing systems for fog computing framework

S Sarkar, R Wankar, SN Srirama… - IEEE Sensors …, 2019 - ieeexplore.ieee.org
In this paper, we propose a framework for the management of the Internet of Things (IoT)
devices in a smart building to model services based on the serverless computing paradigm …

IBoNN: Intelligent agent-based internet of medical things framework for detecting brain response from electroencephalography signal using bag-of-neural network

S Nandy, M Adhikari, S Chakraborty… - Future Generation …, 2022 - Elsevier
The inability of a patient to talk, hear, or both for any specific reason can create a worrisome
scenario because any form of reaction can deem the brain activity. In such a scenario …

An efficient machine learning-based elderly fall detection algorithm

F Hussain, MB Umair, M Ehatisham-ul-Haq… - arXiv preprint arXiv …, 2019 - arxiv.org
Falling is a commonly occurring mishap with elderly people, which may cause serious
injuries. Thus, rapid fall detection is very important in order to mitigate the severe effects of …

Elderly assistance using wearable sensors by detecting fall and recognizing fall patterns

F Hussain, M Ehatisham-ul-Haq, MA Azam… - Proceedings of the 2018 …, 2018 - dl.acm.org
Falling is a serious threat to the elderly people. One severe fall can cause hazardous
problems like bone fracture or may lead to some permanent disability or even death. Thus, it …