Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning

Parkinson's disease is the second most common neurodegenerative disorder in the world. Assumed that gait dysfunctions represent a major motor symptom for the pathology, gait analysis can provide clinicians quantitative information about the rehabilitation outcome of patients. In this scenario,...

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Auteurs principaux:	Leandro Donisi, Giuseppe Cesarelli, Pietro Balbi, Vincenzo Provitera, Bernardo Lanzillo, Armando Coccia, Giovanni D'Addio
Format:	article
Langue:	EN
Publié:	AIMS Press 2021
Sujets:	gait analysis machine learning parkinson's disease short-term rehabilitation wearable inertial device Biotechnology TP248.13-248.65 Mathematics QA1-939
Accès en ligne:	https://doaj.org/article/32f6e6db3b394834951092c7c631ab7e
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spelling	oai:doaj.org-article:32f6e6db3b394834951092c7c631ab7e2021-11-23T01:35:32ZPositive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning10.3934/mbe.20213481551-0018https://doaj.org/article/32f6e6db3b394834951092c7c631ab7e2021-08-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021348?viewType=HTMLhttps://doaj.org/toc/1551-0018Parkinson's disease is the second most common neurodegenerative disorder in the world. Assumed that gait dysfunctions represent a major motor symptom for the pathology, gait analysis can provide clinicians quantitative information about the rehabilitation outcome of patients. In this scenario, wearable inertial systems for gait analysis can be a valid tool to assess the functional recovery of patients in an automatic and quantitative way, helping clinicians in decision making. Aim of the study is to evaluate the impact of the short-term rehabilitation on gait and balance of patients with Parkinson's disease. A cohort of 12 patients with Idiopathic Parkinson's disease performed a gait analysis session instrumented by a wearable inertial system for gait analysis: Opal System, by APDM Inc., with spatial and temporal parameters being analyzed through a statistic and machine learning approach. Six out of fourteen motion parameters exhibited a statistically significant difference between the measurements at admission and at discharge of the patients, while the machine learning analysis confirmed the separability of the two phases in terms of Accuracy and Area under the Receiving Operating Characteristic Curve. The rehabilitation treatment especially improved the motion parameters related to the gait. The study shows the positive impact on the gait of a short-term rehabilitation in patients with Parkinson's disease and the feasibility of the wearable inertial devices, that are increasingly spreading in clinical practice, to quantitatively assess the gait improvement.Leandro DonisiGiuseppe Cesarelli Pietro Balbi Vincenzo ProviteraBernardo LanzilloArmando CocciaGiovanni D'AddioAIMS Pressarticlegait analysismachine learningparkinson's diseaseshort-term rehabilitationwearable inertial deviceBiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 5, Pp 6995-7009 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gait analysis machine learning parkinson's disease short-term rehabilitation wearable inertial device Biotechnology TP248.13-248.65 Mathematics QA1-939
spellingShingle	gait analysis machine learning parkinson's disease short-term rehabilitation wearable inertial device Biotechnology TP248.13-248.65 Mathematics QA1-939 Leandro Donisi Giuseppe Cesarelli Pietro Balbi Vincenzo Provitera Bernardo Lanzillo Armando Coccia Giovanni D'Addio Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning
description	Parkinson's disease is the second most common neurodegenerative disorder in the world. Assumed that gait dysfunctions represent a major motor symptom for the pathology, gait analysis can provide clinicians quantitative information about the rehabilitation outcome of patients. In this scenario, wearable inertial systems for gait analysis can be a valid tool to assess the functional recovery of patients in an automatic and quantitative way, helping clinicians in decision making. Aim of the study is to evaluate the impact of the short-term rehabilitation on gait and balance of patients with Parkinson's disease. A cohort of 12 patients with Idiopathic Parkinson's disease performed a gait analysis session instrumented by a wearable inertial system for gait analysis: Opal System, by APDM Inc., with spatial and temporal parameters being analyzed through a statistic and machine learning approach. Six out of fourteen motion parameters exhibited a statistically significant difference between the measurements at admission and at discharge of the patients, while the machine learning analysis confirmed the separability of the two phases in terms of Accuracy and Area under the Receiving Operating Characteristic Curve. The rehabilitation treatment especially improved the motion parameters related to the gait. The study shows the positive impact on the gait of a short-term rehabilitation in patients with Parkinson's disease and the feasibility of the wearable inertial devices, that are increasingly spreading in clinical practice, to quantitatively assess the gait improvement.
format	article
author	Leandro Donisi Giuseppe Cesarelli Pietro Balbi Vincenzo Provitera Bernardo Lanzillo Armando Coccia Giovanni D'Addio
author_facet	Leandro Donisi Giuseppe Cesarelli Pietro Balbi Vincenzo Provitera Bernardo Lanzillo Armando Coccia Giovanni D'Addio
author_sort	Leandro Donisi
title	Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning
title_short	Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning
title_full	Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning
title_fullStr	Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning
title_full_unstemmed	Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning
title_sort	positive impact of short-term gait rehabilitation in parkinson patients: a combined approach based on statistics and machine learning
publisher	AIMS Press
publishDate	2021
url	https://doaj.org/article/32f6e6db3b394834951092c7c631ab7e
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Positive impact of short-term gait rehabilitation in Parkinson patients: a combined approach based on statistics and machine learning

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