A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation

WWT Lam, YM Tang, KNK Fong - Journal of neuroengineering and …, 2023 - Springer
Background Markerless motion capture (MMC) technology has been developed to avoid the
need for body marker placement during motion tracking and analysis of human movement …

Impairment and compensation in dexterous upper-limb function after stroke. From the direct consequences of pyramidal tract lesions to behavioral involvement of both …

A Roby-Brami, N Jarrasse, R Parry - Frontiers in Human …, 2021 - frontiersin.org
Impairments in dexterous upper limb function are a significant cause of disability following
stroke. While the physiological basis of movement deficits consequent to a lesion in the …

Monitoring of gait parameters in post-stroke individuals: A feasibility study using rgb-d sensors

C Ferraris, V Cimolin, L Vismara, V Votta, G Amprimo… - Sensors, 2021 - mdpi.com
Stroke is one of the most significant causes of permanent functional impairment and severe
motor disability. Hemiplegia or hemiparesis are common consequences of the acute event …

Performance comparison of various watermarking techniques

P Garg, RR Kishore - Multimedia Tools and Applications, 2020 - Springer
Digital watermarking is a method to provide authenticity and copyright ownership to digital
content by embedding any presume content like audio, text, data or video into the original …

Validity and reliability of Kinect v2 for quantifying upper body kinematics during seated reaching

G Faity, D Mottet, J Froger - Sensors, 2022 - mdpi.com
Kinematic analysis of the upper limbs is a good way to assess and monitor recovery in
individuals with stroke, but it remains little used in clinical routine due to its low feasibility …

Human cinematic capture and movement system through kinect: A detailed and innovative review

D Huamanchahua, J Ortiz-Zacarias… - … IOT, Electronics and …, 2022 - ieeexplore.ieee.org
There are many techniques focused on capturing the kinematic movement of the human
body, all these techniques help in the creation of robotic devices to achieve efficient …

Detecting compensatory movements of stroke survivors using pressure distribution data and machine learning algorithms

S Cai, G Li, X Zhang, S Huang, H Zheng, K Ma… - … of neuroengineering and …, 2019 - Springer
Background Compensatory movements are commonly employed by stroke survivors during
seated reaching and may have negative effects on their long-term recovery. Detecting …

sEMG-based trunk compensation detection in rehabilitation training

K Ma, Y Chen, X Zhang, H Zheng, S Yu… - Frontiers in …, 2019 - frontiersin.org
Stroke patients often use trunk to compensate for impaired upper limb motor function during
upper limb rehabilitation training, which results in a reduced rehabilitation training effect …

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 …

A neuroergonomic approach to assessing motor performance in stroke patients using fNIRS and behavioral data

L Bu, J Qu, L Zhao, Y Zhang, Y Wang - Applied Ergonomics, 2023 - Elsevier
Stroke is characterized by high morbidity and disability, and proposing effective methods for
assessing and designing rehabilitation products is an attractive topic in current research. In …