The reliability of the microsoft kinect and ambulatory sensor-based motion tracking devices to measure shoulder range-of-motion: A systematic review and meta …

P Beshara, DB Anderson, M Pelletier, WR Walsh - Sensors, 2021 - mdpi.com
Advancements in motion sensing technology can potentially allow clinicians to make more
accurate range-of-motion (ROM) measurements and informed decisions regarding patient …

[HTML][HTML] Review of adaptive control for stroke lower limb exoskeleton rehabilitation robot based on motion intention recognition

D Su, Z Hu, J Wu, P Shang, Z Luo - Frontiers in Neurorobotics, 2023 - ncbi.nlm.nih.gov
Stroke is a significant cause of disability worldwide, and stroke survivors often experience
severe motor impairments. Lower limb rehabilitation exoskeleton robots provide support and …

Additional effects of Xbox kinect training on upper limb function in chronic stroke patients: A randomized control trial

QU Ain, S Khan, S Ilyas, A Yaseen, I Tariq, T Liu… - Healthcare, 2021 - mdpi.com
Background: Xbox Kinect-based virtual reality, being a novel approach, has therapeutic
benefits in rehabilitation and its use is encouraged in stroke rehabilitation of upper …

Haptic glove systems in combination with semi-immersive virtual reality for upper extremity motor rehabilitation after stroke: A systematic review and meta-analysis

D Fernandez-Vazquez, R Cano-de-la-Cuerda… - International Journal of …, 2022 - mdpi.com
Background: The effectiveness of the virtual reality (VR) for the upper extremity (UE) motor
rehabilitation after stroke has been widely studied. However, the effectiveness of the …

Reliability and agreement of Azure Kinect and Kinect v2 depth sensors in the shoulder joint range of motion estimation

U Özsoy, Y Yıldırım, S Karaşin, R Şekerci… - Journal of Shoulder and …, 2022 - Elsevier
Background Depth sensor–based motion analysis systems are of interest to researchers
with low cost, fast analysis capabilities, and portability; thus, their reliability is a matter of …

Effects of exergaming on functional outcomes in people with chronic stroke: A systematic review and meta‐analysis

KGF Chan, Y Jiang, WT Choo… - Journal of Advanced …, 2022 - Wiley Online Library
Aims The aim of this review is to synthesize and evaluate effectiveness of exergaming on
balance, lower limb functional mobility and functional independence in individuals with …

Effects of three different rehabilitation games' interaction on brain activation using functional near-infrared spectroscopy

Z Wang, M Liao, Q Li, Y Zhang, H Liu… - Physiological …, 2020 - iopscience.iop.org
Objective: This study reveals the changes in brain activation due to different game
interaction states based on functional near-infrared spectroscopy signals and discusses …

Development of a novel machine learning-based approach for brain function assessment and integrated software solution

J Qu, L Cui, W Guo, L Bu, Z Wang - Advanced Engineering Informatics, 2024 - Elsevier
Abstract Industry 5.0 emphasizes human-centered solutions. However, bridging the gap
between human conditions and engineering systems remains a challenge in this era …

Gesture Recognition of Somatosensory Interactive Acupoint Massage Based on Image Feature Deep Learning Model.

Y Jia, R Ding, W Ren, J Shu, A Jin - Traitement du Signal, 2021 - search.ebscohost.com
During rehabilitation, many postoperative patients need to perform autonomous massage on
time and on demand. Thus, this paper develops an individualized, intelligent, and …

The Validity and Reliability of a New Intelligent Three-Dimensional Gait Analysis System in Healthy Subjects and Patients with Post-Stroke

Y Wang, R Tang, H Wang, X Yu, Y Li, C Wang, L Wang… - Sensors, 2022 - mdpi.com
Odonate is a new, intelligent three-dimensional gait analysis system based on binocular
depth cameras and neural networks, but its accuracy has not been validated. Twenty-six …