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] Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review

I Boukhennoufa, X Zhai, V Utti, J Jackson… - … Signal Processing and …, 2022 - Elsevier
A cerebrovascular accident or stroke is the second commonest cause of death in the world. If
it is not fatal, it can result in paralysis, sensory impairment and significant disability …

Wearable systems for shoulder kinematics assessment: A systematic review

A Carnevale, UG Longo, E Schena… - BMC musculoskeletal …, 2019 - Springer
Background Wearable sensors are acquiring more and more influence in diagnostic and
rehabilitation field to assess motor abilities of people with neurological or musculoskeletal …

A mobile cloud based iomt framework for automated health assessment and management

DC Nguyen, KD Nguyen… - 2019 41st annual …, 2019 - ieeexplore.ieee.org
In recent years, there has been growing interest in the use of mobile cloud and Internet of
Medical Things (IoMT) in automated diagnosis and health monitoring. These applications …

[HTML][HTML] An Artificial Intelligence model for smart post-stroke assessment using wearable sensors

N Razfar, R Kashef, F Mohammadi - Decision Analytics Journal, 2023 - Elsevier
Wearable sensors provide a recording capability of the body segments' motion. By collecting
and analyzing the segments' movements, automating the post-stroke assessment process …

Assessing human motion during exercise using machine learning: A literature review

F Frangoudes, M Matsangidou, EC Schiza… - IEEE …, 2022 - ieeexplore.ieee.org
The World Health Organization promotes healthy living through regular physical activities,
such as exercise and sports, as well as access to healthcare and rehabilitation services for …

Automatic Post-Stroke Severity Assessment Using Novel Unsupervised Consensus Learning for Wearable and Camera-Based Sensor Datasets

N Razfar, R Kashef, F Mohammadi - Sensors, 2023 - mdpi.com
Stroke survivors often suffer from movement impairments that significantly affect their daily
activities. The advancements in sensor technology and IoT have provided opportunities to …

Design of a data glove for assessment of hand performance using supervised machine learning

H Sarwat, H Sarwat, SA Maged, TH Emara, AM Elbokl… - Sensors, 2021 - mdpi.com
The large number of poststroke recovery patients poses a burden on rehabilitation centers,
hospitals, and physiotherapists. The advent of rehabilitation robotics and automated …

Smart walker based IoT physical rehabilitation system

C Nave, O Postolache - … in Sensing and Instrumentation in IoT …, 2018 - ieeexplore.ieee.org
This paper describes the development of an IoT Physical Rehabilitation solution based on
Smart Walkers. Multimodal sensing solution including IMU, Load Cells and Ultrasound …

Wireless motion capture system for upper limb rehabilitation

O Tsilomitrou, K Gkountas, N Evangeliou… - Applied System …, 2021 - mdpi.com
This work is devoted to the presentation of a Wireless Sensor System implementation for
upper limb rehabilitation to function as a complementary system for a patient's progress …