Commercial device-based hand rehabilitation systems for stroke patients: State of the art and future prospects

B Sheng, J Zhao, Y Zhang, S Xie, J Tao - Heliyon, 2023 - cell.com
Various hand rehabilitation systems have recently been developed for stroke patients,
particularly commercial devices. Articles from 10 electronic databases from 2010 to 2022 …

Artificial intelligence-driven virtual rehabilitation for people living in the community: A scoping review

A Abedi, TJF Colella, M Pakosh, SS Khan - NPJ Digital Medicine, 2024 - nature.com
Abstract Virtual Rehabilitation (VRehab) is a promising approach to improving the physical
and mental functioning of patients living in the community. The use of VRehab technology …

Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors

E Essa, IR Abdelmaksoud - Knowledge-Based Systems, 2023 - Elsevier
Human activity recognition (HAR) is an essential task in many applications such as health
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …

MultiSenseBadminton: Wearable Sensor–Based Biomechanical Dataset for Evaluation of Badminton Performance

M Seong, G Kim, D Yeo, Y Kang, H Yang, J DelPreto… - Scientific Data, 2024 - nature.com
The sports industry is witnessing an increasing trend of utilizing multiple synchronized
sensors for player data collection, enabling personalized training systems with multi …

A metric for characterizing the arm nonuse workspace in poststroke individuals using a robot arm

N Dennler, A Cain, E De Guzman, C Chiu… - Science Robotics, 2023 - science.org
An overreliance on the less-affected limb for functional tasks at the expense of the paretic
limb and in spite of recovered capacity is an often-observed phenomenon in survivors of …

Development of an FBG-based wearable sensor for simultaneous respiration and heartbeat measurement

C Shi, Z Tang, H Zhang, Y Liu - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This work presents a novel fiber Bragg grating (FBG)-based wearable sensor with a high
sensitivity to achieve accurate and simultaneous measurement of respiration and heartbeat …

Breast cancer classification by a new approach to assessing deep neural network-based uncertainty quantification methods

F Hamedani-KarAzmoudehFar… - … Signal Processing and …, 2023 - Elsevier
Deep learning-based approaches have become widespread in medical fields and have
achieved profound success in recent years. Nonetheless, most of these approaches cannot …

The role of artificial intelligence in future rehabilitation services: a systematic literature review

C Mennella, U Maniscalco, G De Pietro… - IEEE Access, 2023 - ieeexplore.ieee.org
Artificial intelligence technologies are considered crucial in supporting a decentralized
model of care in which therapeutic interventions are provided from a distance. In the last …

Upper limb assessment with inertial measurement units according to the international classification of functioning in stroke: a systematic review and correlation meta …

A Martino Cinnera, P Picerno, A Bisirri… - Topics in Stroke …, 2024 - Taylor & Francis
Objective To investigate the usefulness of inertial measurement units (IMUs) in the
assessment of motor function of the upper limb (UL) in accordance with the international …

BiomacVR: A virtual reality-based system for precise human posture and motion analysis in rehabilitation exercises using depth sensors

R Maskeliūnas, R Damaševičius, T Blažauskas… - Electronics, 2023 - mdpi.com
Remote patient monitoring is one of the most reliable choices for the availability of health
care services for the elderly and/or chronically ill. Rehabilitation requires the exact and …