Assessment methods of post-stroke gait: A scoping review of technology-driven approaches to gait characterization and analysis

DM Mohan, AH Khandoker, SA Wasti… - Frontiers in …, 2021 - frontiersin.org
Background: Gait dysfunction or impairment is considered one of the most common and
devastating physiological consequences of stroke, and achieving optimal gait is a key goal …

Wearable inertial sensors for human movement analysis: a five-year update

P Picerno, M Iosa, C D'Souza… - Expert review of …, 2021 - Taylor & Francis
Introduction The aim of the present review is to track the evolution of wearable IMUs from
their use in supervised laboratory-and ambulatory-based settings to their application for long …

A survey of human gait-based artificial intelligence applications

EJ Harris, IH Khoo, E Demircan - Frontiers in Robotics and AI, 2022 - frontiersin.org
We performed an electronic database search of published works from 2012 to mid-2021 that
focus on human gait studies and apply machine learning techniques. We identified six key …

Wearable sensors and artificial intelligence for physical ergonomics: A systematic review of literature

L Donisi, G Cesarelli, N Pisani, AM Ponsiglione… - Diagnostics, 2022 - mdpi.com
Physical ergonomics has established itself as a valid strategy for monitoring potential
disorders related, for example, to working activities. Recently, in the field of physical …

Virtual art therapy: application of michelangelo effect to neurorehabilitation of patients with stroke

R De Giorgi, A Fortini, F Aghilarre, F Gentili… - Journal of clinical …, 2023 - mdpi.com
In neurorehabilitation, some studies reported the effective use of art therapy for reducing
psychological disorders and for enhancing physical functions and cognitive abilities …

[HTML][HTML] Evaluation of Rehabilitation Outcomes in Patients with Chronic Neurological Health Conditions Using a Machine Learning Approach

G Santilli, M Mangone, F Agostini, M Paoloni… - Journal of Functional …, 2024 - mdpi.com
Background: Over one billion people worldwide suffer from neurological conditions that
cause mobility impairments, often persisting despite rehabilitation. Chronic neurological …

[HTML][HTML] Harnessing artificial neural networks for spinal cord injury prognosis

F Tamburella, E Lena, M Mascanzoni, M Iosa… - Journal of Clinical …, 2024 - mdpi.com
Background: Prediction of neurorehabilitation outcomes after a Spinal Cord Injury (SCI) is
crucial for healthcare resource management and improving prognosis and rehabilitation …

Novel methods of ai-based gait analysis in post-stroke patients

I Rojek, P Prokopowicz, J Dorożyński, D Mikołajewski - Applied Sciences, 2023 - mdpi.com
Featured Application Potential applications of the findings presented in this article include
low-cost, fast, and simple gait analysis systems for use by primary care physicians …

Prognostic factors in neurorehabilitation of stroke: A comparison among regression, neural network, and cluster analyses

M Iosa, G Morone, G Antonucci, S Paolucci - Brain Sciences, 2021 - mdpi.com
There is a large body of literature reporting the prognostic factors for a positive outcome of
neurorehabilitation performed in the subacute phase of stroke. Despite the recent …

Effect of virtual reality rehabilitation on functional outcomes for return-to-work patients with Parkinson's disease: An umbrella review of systematic reviews

M Mangone, F Agostini, A de Sire… - …, 2022 - content.iospress.com
BACKGROUND: Parkinson's disease (PD) is a neurodegenerative disease characterized by
loss of substantia nigra neurons with deficiency of dopamine. The main symptoms are …