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

المؤلفون المشاركون

Camara-Lemarroy, Carlos Rodrigo
Martinez, Hector Ramon
Garcia-Sarreon, Alexis
Salazar, Fortino
Guerrero-González, María L.

المصدر

Parkinson’s Disease

العدد

المجلد 2018، العدد 2018 (31 ديسمبر/كانون الأول 2018)، ص ص. 1-7، 7ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2018-09-27

دولة النشر

مصر

عدد الصفحات

7

التخصصات الرئيسية

الأمراض
الطب البشري

الملخص EN

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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Martinez, Hector Ramon& Garcia-Sarreon, Alexis& Camara-Lemarroy, Carlos Rodrigo& Salazar, Fortino& Guerrero-González, María L.. 2018. Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between OnOff Status in Parkinson’s Disease after Deep Brain Stimulation. Parkinson’s Disease،Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1212474

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Martinez, Hector Ramon…[et al.]. Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between OnOff Status in Parkinson’s Disease after Deep Brain Stimulation. Parkinson’s Disease No. 2018 (2018), pp.1-7.
https://search.emarefa.net/detail/BIM-1212474

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Martinez, Hector Ramon& Garcia-Sarreon, Alexis& Camara-Lemarroy, Carlos Rodrigo& Salazar, Fortino& Guerrero-González, María L.. Accuracy of Markerless 3D Motion Capture Evaluation to Differentiate between OnOff Status in Parkinson’s Disease after Deep Brain Stimulation. Parkinson’s Disease. 2018. Vol. 2018, no. 2018, pp.1-7.
https://search.emarefa.net/detail/BIM-1212474

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1212474