Results 51 to 60 of about 23,341,595 (150)

Exoskeleton therapy in cerebral palsy: improved gait endurance without kinematic change

open access: yesFrontiers in Human Neuroscience
IntroductionCerebral palsy (CP) often leads to impairments in movement and posture, limiting functional mobility. Robotic-assisted gait training (RAGT) using powered exoskeletons has emerged as a novel approach to enhance gait in individuals with CP ...
Paweł Chmara   +4 more
doaj   +1 more source

Application of Wearable Sensors Technology for Lumbar Spine Kinematic Measurements during Daily Activities following Microdiscectomy Due to Severe Sciatica

open access: yesBiology, 2022
Background: The recurrence rate of lumbar spine microdiscectomies (rLSMs) is estimated to be 5–15%. Lumbar spine flexion (LSF) of more than 10° is mentioned as the most harmful load to the intervertebral disc that could lead to recurrence during the ...
Athanasios Triantafyllou   +8 more
doaj   +1 more source

Robust gait recognition under variable covariate conditions [PDF]

open access: yes, 2010
PhDGait is a weak biometric when compared to face, fingerprint or iris because it can be easily affected by various conditions. These are known as the covariate conditions and include clothing, carrying, speed, shoes and view among others.
Bashir, Khalid
core   +2 more sources

Clinical Gait Evaluation with Neuromuscular Impairments (Clinical GENI) for spastic cerebral palsy

open access: yesFrontiers in Human Neuroscience
BackgroundGait abnormalities in spastic cerebral palsy (CP) result from four primary neuromuscular impairments: muscle weakness, short muscle-relative-to-skeletal-length, muscle spasticity, and impaired selective motor control.
Kylie Clewes   +9 more
doaj   +1 more source

A Scoping Review of Neuromuscular Electrical Stimulation to Improve Gait in Cerebral Palsy: The Arc of Progress and Future Strategies

open access: yesFrontiers in Neurology, 2019
Background: Neuromuscular deficits of children with spastic cerebral palsy (CP) limits mobility, due to muscle weakness, short muscle-tendon unit, spasticity, and impaired selective motor control.
Jake A. Mooney   +3 more
doaj   +1 more source

Explainable Machine Learning in Human Gait Analysis: A Study on Children With Cerebral Palsy

open access: yesIEEE Access, 2023
This work investigates the effectiveness of various machine learning (ML) methods in classifying human gait patterns associated with cerebral palsy (CP) and examines the clinical relevance of the learned features using explainability approaches.
Djordje Slijepcevic   +5 more
doaj   +1 more source

Neuromuscular impairments of cerebral palsy: contributions to gait abnormalities and implications for treatment

open access: yesFrontiers in Human Neuroscience
Identification of neuromuscular impairments in cerebral palsy (CP) is essential to providing effective treatment. However, clinical recognition of neuromuscular impairments in CP and their contribution to gait abnormalities is limited, resulting in ...
Kylie Clewes   +8 more
doaj   +1 more source

Mapping the Global Landscape and Thematic Evolution of fNIRS-Gait Research: A Systematic Bibliometric and Network Visualization Analysis

open access: yesBioengineering
Background: Functional near-infrared spectroscopy (fNIRS) has emerged as an essential optical neuroimaging modality in human locomotion, yet a comprehensive computational mapping of its structural and thematic evolution remains absent.
Yunis Akkaş, Senem Güner, Naime Uluğ
doaj   +1 more source

Drift-Free Foot Orientation Estimation in Running Using Wearable IMU

open access: yesFrontiers in Bioengineering and Biotechnology, 2020
This study aimed to introduce and validate a new method to estimate and correct the orientation drift measured from foot-worn inertial sensors. A modified strap-down integration (MSDI) was proposed to decrease the orientation drift, which, in turn, was ...
Mathieu Falbriard   +4 more
doaj   +1 more source

Model-driven statistical analysis of human gait motion

open access: yes, 2002
We describe a new method for analyzing and extracting human gait motion by combining statistical methods with image processing. The periodic motion of human gait is modeled by trigonometric-polynomial interpolant functions.
Harris, Chris J   +2 more
core   +1 more source

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