Inconvenience caused by stroke brings physical disability found in many people which restricts their daily life activities. Globally, it was predicted that the prevalence of stroke will …
K Savoji, M Soleimani… - … Endorsed Transactions on …, 2024 - publications.eai.eu
Electromyography (EMG) is a diagnostic technique that measures the electrical activity generated by skeletal muscles. Utilizing electrodes placed either on the skin (surface EMG) …
S Tedesco, OM Torre, M Belcastro, P Torchia… - IEEE …, 2022 - ieeexplore.ieee.org
Smart wearables are a promising tool for the objective and quantifiable monitoring of patients' capabilities during remote at-home assessments. A novel platform for the remote …
Objective The aim of this study was to investigate the effects of EMG‐driven robotic rehabilitation on hand motor functions and daily living activities of patients with acute …
C Liu, J Li, S Zhang, H Yang, K Guo - Micromachines, 2022 - mdpi.com
Wearable devices based on surface electromyography (sEMG) to detect muscle activity can be used to assess muscle strength with the development of hand rehabilitation applications …
Stroke has a considerable incidence in the world population and would cause sequelae in the upper limbs. One way to increase the efficiency in the rehabilitation process of patients …
H Millkvist, A Källströmer, B Bernspång… - Journal of Hand Therapy, 2024 - Elsevier
Background A brachial plexus birth injury (BPBI) can cause reduced ability to use the arm and hand in daily activities due to reduced grip strength and endurance. A soft robotic glove …
A cerebrovascular accident, or a stroke, can cause significant neurological damage, inflicting the patient with loss of motor function in their hands. Standard rehabilitation therapy …
This thesis focuses on the use of wearable sensors (WS) and machine learning (ML) algorithms in post-stroke rehabilitation assessment. The conventional approach to …