Upper limb physical rehabilitation using serious videogames and motion capture systems: A systematic review

AC Alarcón-Aldana, M Callejas-Cuervo, APL Bo - Sensors, 2020 - mdpi.com
The use of videogames and motion capture systems in rehabilitation contributes to the
recovery of the patient. This systematic review aimed to explore the works related to these …

Technical aspects of virtual augmented reality-based rehabilitation systems for musculoskeletal disorders of the lower limbs: a systematic review

S Kiani, I Rezaei, S Abasi, S Zakerabasali… - BMC Musculoskeletal …, 2023 - Springer
Introduction Musculoskeletal disorders are one of the most common causes of physical
disability. The rehabilitation process after musculoskeletal disorders is long and tedious, and …

Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training

Y Qiu, J Wang, Z **, H Chen, M Zhang… - … Signal Processing and …, 2022 - Elsevier
The application of pose assessment on rehabilitation training has gradually received
attention in recent years. However, current evaluation indicators of these methods are mostly …

Advances in machine‐learning enhanced nanosensors: From cloud artificial intelligence toward future edge computing at chip level

Z Zhang, X Liu, H Zhou, S Xu, C Lee - Small Structures, 2024 - Wiley Online Library
Machine‐learning‐enhanced nanosensors are rapidly emerging as a promising solution in
the field of sensor technology, as traditional sensors encounter limitations of data analysis in …

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 …

Artificial intelligence-driven virtual rehabilitation for people living in the community: A sco** 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] Technologies in home-based digital rehabilitation: sco** review

A Arntz, F Weber, M Handgraaf, K Lällä… - JMIR rehabilitation …, 2023 - rehab.jmir.org
Background Due to growing pressure on the health care system, a shift in rehabilitation to
home settings is essential. However, efficient support for home-based rehabilitation is …

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 …

The application of wearable sensors and machine learning algorithms in rehabilitation training: A systematic review

S Wei, Z Wu - Sensors, 2023 - mdpi.com
The integration of wearable sensor technology and machine learning algorithms has
significantly transformed the field of intelligent medical rehabilitation. These innovative …

[HTML][HTML] A deep learning system to monitor and assess rehabilitation exercises in home-based remote and unsupervised conditions

C Mennella, U Maniscalco, G De Pietro… - Computers in Biology …, 2023 - Elsevier
In the domain of physical rehabilitation, the progress in machine learning and the availability
of cost-effective motion capture technologies have paved the way for innovative systems …