Gait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy

Parkinson’s disease (PD) is a type of neurodegenerative diseases. PD influences gait in many aspects: reduced gait speed and step length, increased axial rigidity, and impaired rhythmicity. Gait-related data used in this study are from PhysioNet. Twenty-one PD patients and five healthy controls (CO)...

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Autores principales:	Yuan-Lun Hsieh, Maysam F. Abbod
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	multiscale entropy Parkinson’s disease gait impairment dual task complexity index Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/c35f5afd4bba45758ca31907b308eec3
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spelling	oai:doaj.org-article:c35f5afd4bba45758ca31907b308eec32021-11-11T15:37:46ZGait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy10.3390/electronics102126042079-9292https://doaj.org/article/c35f5afd4bba45758ca31907b308eec32021-10-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/21/2604https://doaj.org/toc/2079-9292Parkinson’s disease (PD) is a type of neurodegenerative diseases. PD influences gait in many aspects: reduced gait speed and step length, increased axial rigidity, and impaired rhythmicity. Gait-related data used in this study are from PhysioNet. Twenty-one PD patients and five healthy controls (CO) were sorted into four groups: PD without task (PDw), PD with dual task (PDd), control without task (COw), and control with dual task (COd). Since dual task actions are attention demanding, either gait or cognitive function may be affected. To quantify the used walking data, eight pressure sensors installed in each insole are used to measure the vertical ground reaction force. Thus, quantitative measurement analysis is performed utilizing multiscale entropy (MSE) and complexity index (CI) to analyze and differentiate between the ground reaction force of the four different groups. Results show that the CI of patients with PD is higher than that of CO and 11 of the sensor signals are statistically significant (<i>p</i> < 0.05). The COd group has larger CI values at the beginning (<i>p</i> = 0.021) but they get lower at the end of the test (<i>p</i> = 0.000) compared to that in the COw group. The end-of-test CI for the PDw group is lower in one of the feet sensor signals, and in the right total ground reaction force compared to the PDd group counterparts. In conclusion, when people start to adjust their gait due to pathology or stress, CI may increase first and reach a peak, but it decreases afterward when stress or pathology is further increased.Yuan-Lun HsiehMaysam F. AbbodMDPI AGarticlemultiscale entropyParkinson’s diseasegait impairmentdual taskcomplexity indexElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2604, p 2604 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	multiscale entropy Parkinson’s disease gait impairment dual task complexity index Electronics TK7800-8360
spellingShingle	multiscale entropy Parkinson’s disease gait impairment dual task complexity index Electronics TK7800-8360 Yuan-Lun Hsieh Maysam F. Abbod Gait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy
description	Parkinson’s disease (PD) is a type of neurodegenerative diseases. PD influences gait in many aspects: reduced gait speed and step length, increased axial rigidity, and impaired rhythmicity. Gait-related data used in this study are from PhysioNet. Twenty-one PD patients and five healthy controls (CO) were sorted into four groups: PD without task (PDw), PD with dual task (PDd), control without task (COw), and control with dual task (COd). Since dual task actions are attention demanding, either gait or cognitive function may be affected. To quantify the used walking data, eight pressure sensors installed in each insole are used to measure the vertical ground reaction force. Thus, quantitative measurement analysis is performed utilizing multiscale entropy (MSE) and complexity index (CI) to analyze and differentiate between the ground reaction force of the four different groups. Results show that the CI of patients with PD is higher than that of CO and 11 of the sensor signals are statistically significant (<i>p</i> < 0.05). The COd group has larger CI values at the beginning (<i>p</i> = 0.021) but they get lower at the end of the test (<i>p</i> = 0.000) compared to that in the COw group. The end-of-test CI for the PDw group is lower in one of the feet sensor signals, and in the right total ground reaction force compared to the PDd group counterparts. In conclusion, when people start to adjust their gait due to pathology or stress, CI may increase first and reach a peak, but it decreases afterward when stress or pathology is further increased.
format	article
author	Yuan-Lun Hsieh Maysam F. Abbod
author_facet	Yuan-Lun Hsieh Maysam F. Abbod
author_sort	Yuan-Lun Hsieh
title	Gait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy
title_short	Gait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy
title_full	Gait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy
title_fullStr	Gait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy
title_full_unstemmed	Gait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy
title_sort	gait analyses of parkinson’s disease patients using multiscale entropy
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/c35f5afd4bba45758ca31907b308eec3
work_keys_str_mv	AT yuanlunhsieh gaitanalysesofparkinsonsdiseasepatientsusingmultiscaleentropy AT maysamfabbod gaitanalysesofparkinsonsdiseasepatientsusingmultiscaleentropy
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Gait Analyses of Parkinson’s Disease Patients Using Multiscale Entropy

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