An IoT-Enabled Stroke Rehabilitation System Based On Smart Wearable Armband And Machine Learning
Part of the Special Issue Advanced Internet of Things in a Personalized Healthcare System: Validation, Analysis and Utilization
Surface electromyography signal plays an important role in hand function recovery training. In this paper, an IoT-enabled stroke rehabilitation system was introduced which was based on a smart wearable armband (SWA), machine learning (ML) algorithms, and a 3-D printed dexterous robot hand. User comfort is one of the key issues which should be addressed for wearable devices.
Vol. 22, Issue 6 IoT-Based Remote Pain Monitoring System: From Device to Cloud Platform
Facial expressions are among behavioral signs of pain that can be employed as an entry point to develop an automatic human pain assessment tool. Such a tool can be an alternative to the self-report method and particularly serve patients who are unable to self-report like patients in the intensive care unit and minors. In this paper, a wearable device with a biosensing facial mask is proposed to monitor pain intensity of a patient by utilizing facial surface electromyogram (sEMG).