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 …

[HTML][HTML] Towards Transforming Neurorehabilitation: The Impact of Artificial Intelligence on Diagnosis and Treatment of Neurological Disorders

A Calderone, D Latella, M Bonanno, A Quartarone… - Biomedicines, 2024 - mdpi.com
Background and Objectives: Neurological disorders like stroke, spinal cord injury (SCI), and
Parkinson's disease (PD) significantly affect global health, requiring accurate diagnosis and …

Developing a virtual reality healthcare product based on data-driven concepts: A case study

J Qu, Y Zhang, W Tang, W Cheng, Y Zhang… - Advanced Engineering …, 2023 - Elsevier
The rapid development of artificial intelligence (AI) and big data technologies has profoundly
changed the way of human life and work, and in the healthcare field, the related product …

FOLD: Fog-dew infrastructure-aided optimal workload distribution for cloud robotic operations

S Sarker, MT Arafat, A Lameesa, M Afrin, R Mahmud… - Internet of Things, 2024 - Elsevier
In our fast-paced, technology-driven world, multi-robot systems have emerged as crucial
solutions to tackle contemporary challenges, from industrial automation to disaster …

EGCN++: A New Fusion Strategy for Ensemble Learning in Skeleton-Based Rehabilitation Exercise Assessment

XB Bruce, Y Liu, KCC Chan… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Skeleton-based exercise assessment focuses on evaluating the correctness or quality of an
exercise performed by a subject. Skeleton data provide two groups of features (ie, position …

Bibliometric and visualized analysis of the application of artificial intelligence in stroke

F Xu, Z Dai, Y Ye, P Hu, H Cheng - Frontiers in Neuroscience, 2024 - frontiersin.org
Background Stroke stands as a prominent cause of mortality and disability worldwide,
posing a major public health concern. Recent years have witnessed rapid advancements in …

A contrastive learning network for performance metric and assessment of physical rehabilitation exercises

L Yao, Q Lei, H Zhang, J Du… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Human activity analysis in the legal monitoring environment plays an important role in the
physical rehabilitation field, as it helps patients with physical injuries improve their …

Learning skill training schedules from domain experts for a multi-patient multi-robot rehabilitation gym

B Adhikari, VR Bharadwaj, BA Miller… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
A robotic gym with multiple rehabilitation robots allows multiple patients to exercise
simultaneously under the supervision of a single therapist. The multi-patient training …

Data Augmentation Techniques for Accurate Action Classification in Stroke Patients with Hemiparesis

Y Oh - Sensors, 2024 - mdpi.com
Stroke survivors with hemiparesis require extensive home-based rehabilitation. Deep
learning-based classifiers can detect actions and provide feedback based on patient data; …

[HTML][HTML] Recognition and Scoring Physical Exercises via Temporal and Relative Analysis of Skeleton Nodes Extracted from the Kinect Sensor

R Esmaeeli, MJV Zoej, A Safdarinezhad… - Sensors (Basel …, 2024 - pmc.ncbi.nlm.nih.gov
Human activity recognition is known as the backbone of the development of interactive
systems, such as computer games. This process is usually performed by either vision-based …