Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson’s Disease after Deep Brain Stimulation

Background. Body motion evaluation (BME) by markerless systems is increasingly being considered as an alternative to traditional marker-based technology because they are faster, simpler, and less expensive. They are increasingly used in clinical settings in patients with movement disorders; however,...

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Main Authors: Hector R. Martinez, Alexis Garcia-Sarreon, Carlos Camara-Lemarroy, Fortino Salazar, María L. Guerrero-González
Format: Article
Language:English
Published: Wiley 2018-01-01
Series:Parkinson's Disease
Online Access:http://dx.doi.org/10.1155/2018/5830364
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author Hector R. Martinez
Alexis Garcia-Sarreon
Carlos Camara-Lemarroy
Fortino Salazar
María L. Guerrero-González
author_facet Hector R. Martinez
Alexis Garcia-Sarreon
Carlos Camara-Lemarroy
Fortino Salazar
María L. Guerrero-González
author_sort Hector R. Martinez
collection DOAJ
description Background. Body motion evaluation (BME) by markerless systems is increasingly being considered as an alternative to traditional marker-based technology because they are faster, simpler, and less expensive. They are increasingly used in clinical settings in patients with movement disorders; however, the wide variety of systems available makes results conflicting. Research Question. The objective of this study was to determine whether a markerless 3D motion capture system is a useful instrument to objectively differentiate between PD patients with DBS in On and Off states and controls and its correlation with the evaluation by means of MDS-UPDRS. Methods. Six PD patients who underwent deep brain stimulation (DBS) bilaterally in the subthalamic nucleus were evaluated using BME and the Unified Parkinson’s Disease Rating Scale (UPDRS-III) with DBS turned On and Off. BME of 16 different movements in six controls paired by age and sex was compared with that in PD patients with DBS in On and Off states. Results. A better performance in the BME was correlated with a lower UPDRS-III score. There was no statistically significant difference between patients in Off and On states of DBS regarding BME. However, some items such as left shoulder flexion (p=0.038), right shoulder rotation (p=0.011), and left trunk rotation (p=0.023) were different between Off patients and healthy controls. Significance. Kinematic data obtained with this markerless system could contribute to discriminate between PD patients and healthy controls. This emerging technology may help to clinically evaluate PD patients more objectively.
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series Parkinson's Disease
spelling doaj-art-8f7caf1c6f5a42559c01bb55476cfa1b2025-02-03T06:10:52ZengWileyParkinson's Disease2090-80832042-00802018-01-01201810.1155/2018/58303645830364Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson’s Disease after Deep Brain StimulationHector R. Martinez0Alexis Garcia-Sarreon1Carlos Camara-Lemarroy2Fortino Salazar3María L. Guerrero-González4Tecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ave. Morones Prieto 3000, 64710 Monterrey, NL, MexicoTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ave. Morones Prieto 3000, 64710 Monterrey, NL, MexicoTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ave. Morones Prieto 3000, 64710 Monterrey, NL, MexicoTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ave. Morones Prieto 3000, 64710 Monterrey, NL, MexicoTecnologico de Monterrey, Escuela de Medicina y Ciencias de la Salud, Ave. Morones Prieto 3000, 64710 Monterrey, NL, MexicoBackground. Body motion evaluation (BME) by markerless systems is increasingly being considered as an alternative to traditional marker-based technology because they are faster, simpler, and less expensive. They are increasingly used in clinical settings in patients with movement disorders; however, the wide variety of systems available makes results conflicting. Research Question. The objective of this study was to determine whether a markerless 3D motion capture system is a useful instrument to objectively differentiate between PD patients with DBS in On and Off states and controls and its correlation with the evaluation by means of MDS-UPDRS. Methods. Six PD patients who underwent deep brain stimulation (DBS) bilaterally in the subthalamic nucleus were evaluated using BME and the Unified Parkinson’s Disease Rating Scale (UPDRS-III) with DBS turned On and Off. BME of 16 different movements in six controls paired by age and sex was compared with that in PD patients with DBS in On and Off states. Results. A better performance in the BME was correlated with a lower UPDRS-III score. There was no statistically significant difference between patients in Off and On states of DBS regarding BME. However, some items such as left shoulder flexion (p=0.038), right shoulder rotation (p=0.011), and left trunk rotation (p=0.023) were different between Off patients and healthy controls. Significance. Kinematic data obtained with this markerless system could contribute to discriminate between PD patients and healthy controls. This emerging technology may help to clinically evaluate PD patients more objectively.http://dx.doi.org/10.1155/2018/5830364
spellingShingle Hector R. Martinez
Alexis Garcia-Sarreon
Carlos Camara-Lemarroy
Fortino Salazar
María L. Guerrero-González
Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson’s Disease after Deep Brain Stimulation
Parkinson's Disease
title Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson’s Disease after Deep Brain Stimulation
title_full Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson’s Disease after Deep Brain Stimulation
title_fullStr Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson’s Disease after Deep Brain Stimulation
title_full_unstemmed Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson’s Disease after Deep Brain Stimulation
title_short Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between On/Off Status in Parkinson’s Disease after Deep Brain Stimulation
title_sort accuracy of markerless 3d motion capture evaluation to differentiate between on off status in parkinson s disease after deep brain stimulation
url http://dx.doi.org/10.1155/2018/5830364
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