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[HTML][HTML] Artificial intelligence for skeleton-based physical rehabilitation action evaluation: A systematic review
Performing prescribed physical exercises during home-based rehabilitation programs plays
an important role in regaining muscle strength and improving balance for people with …
an important role in regaining muscle strength and improving balance for people with …
AI-driven stroke rehabilitation systems and assessment: A systematic review
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 …
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
This paper tackles the challenge of automatically assessing physical rehabilitation exercises
for patients who perform the exercises without clinician supervision. The objective is to …
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
Physical therapists play a crucial role in guiding patients through effective and safe
rehabilitation processes according to medical guidelines. However, due to the therapist …
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 …
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 …
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
Research evidence shows that physical rehabilitation exercises prescribed by medical
experts can assist in restoring physical function, improving life quality, and promoting …
experts can assist in restoring physical function, improving life quality, and promoting …
A skeleton-based rehabilitation exercise assessment system with rotation invariance
Automated exercise assessment is of great importance for patients under rehabilitation
exercise who require professional guidance. Among the existing approaches, the skeleton …
exercise who require professional guidance. Among the existing approaches, the skeleton …
Rehabilitation exercise quality assessment through supervised contrastive learning with hard and soft negatives
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 …
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
The research introduces a unique deep-learning-based technique for remote rehabilitative
analysis of image-captured human movements and postures. We present a ploninomial …
analysis of image-captured human movements and postures. We present a ploninomial …