Upper limb physical rehabilitation using serious videogames and motion capture systems: A systematic review
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 …
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
Introduction Musculoskeletal disorders are one of the most common causes of physical
disability. The rehabilitation process after musculoskeletal disorders is long and tedious, and …
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 …
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
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 …
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
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 …
Artificial intelligence-driven virtual rehabilitation for people living in the community: A sco** review
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 …
and mental functioning of patients living in the community. The use of VRehab technology …
[HTML][HTML] Technologies in home-based digital rehabilitation: sco** review
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 …
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
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 …
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 …
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
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 …
of cost-effective motion capture technologies have paved the way for innovative systems …