[HTML][HTML] Artificial intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review

S Sardari, S Sharifzadeh, A Daneshkhah… - Computers in Biology …, 2023 - Elsevier
Performing prescribed physical exercises during home-based rehabilitation programs plays
an important role in regaining muscle strength and improving balance for people with …

AI-driven stroke rehabilitation systems and assessment: A systematic review

S Rahman, S Sarker, AKMN Haque… - … on Neural Systems …, 2022 - ieeexplore.ieee.org
Post-stroke therapy restores lost skills. Traditionally, patients are supported by skilled
therapists who monitor their progress and evaluate the program's effectiveness. Due to a …

D-stgcnt: A dense spatio-temporal graph conv-gru network based on transformer for assessment of patient physical rehabilitation

Y Mourchid, R Slama - Computers in Biology and Medicine, 2023 - Elsevier
This paper tackles the challenge of automatically assessing physical rehabilitation exercises
for patients who perform the exercises without clinician supervision. The objective is to …

An expert-knowledge-based graph convolutional network for skeleton-based physical rehabilitation exercises assessment

T He, Y Chen, L Wang, H Cheng - IEEE Transactions on Neural …, 2024 - ieeexplore.ieee.org
Physical therapists play a crucial role in guiding patients through effective and safe
rehabilitation processes according to medical guidelines. However, due to the therapist …

A systematic review of the application of deep learning techniques in the physiotherapeutic therapy of musculoskeletal pathologies

A Nogales, M Rodríguez-Aragón… - Computers in Biology …, 2024 - Elsevier
Physiotherapy is a critical area of healthcare that involves the assessment and treatment of
physical disabilities and injuries. The use of Artificial Intelligence (AI) in physiotherapy has …

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 …

[HTML][HTML] LightPRA: A lightweight temporal convolutional network for automatic physical rehabilitation exercise assessment

S Sardari, S Sharifzadeh, A Daneshkhah… - Computers in Biology …, 2024 - Elsevier
Research evidence shows that physical rehabilitation exercises prescribed by medical
experts can assist in restoring physical function, improving life quality, and promoting …

A skeleton-based rehabilitation exercise assessment system with rotation invariance

K Zheng, J Wu, J Zhang, C Guo - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
Automated exercise assessment is of great importance for patients under rehabilitation
exercise who require professional guidance. Among the existing approaches, the skeleton …

Rehabilitation exercise quality assessment through supervised contrastive learning with hard and soft negatives

M Karlov, A Abedi, SS Khan - Medical & Biological Engineering & …, 2024 - Springer
Exercise-based rehabilitation programs have proven to be effective in enhancing the quality
of life and reducing mortality and rehospitalization rates. AI-driven virtual rehabilitation …

Biomac3d: 2d-to-3d human pose analysis model for tele-rehabilitation based on pareto optimized deep-learning architecture

R Maskeliūnas, A Kulikajevas, R Damaševičius… - Applied sciences, 2023 - mdpi.com
The research introduces a unique deep-learning-based technique for remote rehabilitative
analysis of image-captured human movements and postures. We present a ploninomial …