13 documents found, page 1 of 2

Impact of variable transformations on multiple regression models for enhancing ...

Gait analysis has become an important tool in clinical practice for monitoring disease progression and evaluating therapeutic interventions. However, a subject's gait characteristics can be affected by physical characteristics such as age and height, which can interfere with accurate comparisons between subjects. MLR normalization has been shown to be effective in reducing interference from subject-specific phy...

Quantitative gait analysis value as a predictor of shunt surgery effectiveness ...

Introduction: Shunt surgery (SS) remains the most effective treatment for idiopathic Normal pressure hydro-cephalus (iNPH), but the selection of the patients with the greatest potential benefit remains elusive.Objective: Identify gait features predictive of best response to SS in iNPH.Methods: Eight patients with iNPH were assessed at baseline, after Cerebrospinal fluid tap-test (CSF-TT) and SS, with clinical s...

The association between potential risk factors and cerebral white matter lesion...

The effect of levodopa medication on stride time variability in patients with P...

Gait characteristics and their discriminative ability in patients with fabry di...

Fabry disease (FD) is a rare disease commonly complicated with white matter lesions (WMLs). WMLs, which have extensively been associated with gait impairment, justify further investigation of its implication in FD. This study aims to identify a set of gait characteristics to discriminate FD patients with/without WMLs and healthy controls. Seventy-six subjects walked through a predefined circuit using gait senso...

Gait stride-to-stride variability and foot clearance pattern analysis in Idiopa...

The literature on gait analysis in Vascular Parkinsonism (VaP), addressing issues such as variability, foot clearance patterns, and the effect of levodopa, is scarce. This study investigates whether spatiotemporal, foot clearance and stride-to-stride variability analysis can discriminate VaP, and responsiveness to levodopa. Fifteen healthy subjects, 15 Idiopathic Parkinson's Disease (IPD) patients and 15 VaP pa...

Gait classification of patients with Fabry's disease based on normalized gait f...

Diagnosis of Fabry disease (FD) remains a challenge mostly due to its rare occurrence and phenotipical variability, with considerable delay between onset and clinical diagnosis. It is then of extreme importance to explore biomarkers capable of assisting the earlier diagnosis of FD. There is growing evidence supporting the use of gait assessment in the diagnosis and management of several neurological diseases. I...

Safinamide: a new hope for Parkinson's disease?

The loss of dopaminergic neurons (DAn) and reduced dopamine (DA) production underlies the reasoning behind the gold standard treatment for Parkinson's disease (PD) using levodopa (L-DOPA). Recently licensed by the European Medicine Agency (EMA) and US Food and Drug Administration (FDA), safinamide [a monoamine oxidase B (MOA-B) inhibitor] is an alternative to L-DOPA; as we discuss here, it enhances dopaminergic...

Compensatory postural adjustments in na oculus virtual reality environment and ...

Background/Aims Alzheimer's disease (AD) patients have an impaired ability to quickly reweight central sensory dependence in response to unexpected body perturbations. Herein, we aim to study provoked compensatory postural adjustments (CPAs) in a conflicting sensory paradigm with unpredictable visual displacements using virtual reality goggles. Methods We used kinematic time-frequency analyses of two frequency ...

Application of machine learning in postural control kinematics for the diagnosi...

The use of wearable devices to study gait and postural control is a growing field on neurodegenerative disorders such as Alzheimer's disease (AD). In this paper, we investigate if machine-learning classifiers offer the discriminative power for the diagnosis of AD based on postural control kinematics. We compared Support VectorMachines (SVMs), Multiple Layer Perceptrons (MLPs), Radial Basis Function Neural Netwo...