Kinematic Metrics from a Wireless Stylus Quantify Tremor and Bradykinesia in Parkinson’s Disease

A fundamental challenge in the clinical care of Parkinson disease (PD) is the current dependence on subjective evaluations of tremor and bradykinesia. New technologies offer the ability to evaluate motor deficits using purely objective measures. The aim of this study was to develop and evaluate the...

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Main Authors: Andres Maldonado-Naranjo, Mandy Miller Koop, Olivia Hogue, Jay Alberts, Andre Machado
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Parkinson's Disease
Online Access:http://dx.doi.org/10.1155/2019/6850478
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author Andres Maldonado-Naranjo
Mandy Miller Koop
Olivia Hogue
Jay Alberts
Andre Machado
author_facet Andres Maldonado-Naranjo
Mandy Miller Koop
Olivia Hogue
Jay Alberts
Andre Machado
author_sort Andres Maldonado-Naranjo
collection DOAJ
description A fundamental challenge in the clinical care of Parkinson disease (PD) is the current dependence on subjective evaluations of tremor and bradykinesia. New technologies offer the ability to evaluate motor deficits using purely objective measures. The aim of this study was to develop and evaluate the efficacy of a wireless stylus (Cleveland Clinic Stylus) with an embedded motion sensor to quantitatively assess tremor and bradykinesia in patients with PD with subthalamic nucleus (STN) deep brain stimulation (DBS). Twenty-one subjects were tested in various on and off DBS conditions while holding the Cleveland Clinic Stylus while at rest, maintaining a postural hold, and during a movement task. Kinematic metrics were calculated from the motion sensor data, including 3D angular velocity and 3D acceleration data, and were compared between the on and off conditions. Generalized estimating equations (GEEs) were used to determine the relationship between kinematic metrics and MDS-Unified Parkinson’s Disease Rating Scale Motor III (UPDRS-III) subscores. Kinematic metrics from the rest and postural tasks were significantly related to the UPDRS-III subscores of tremor (p<0.001 for all metrics), and kinematic metrics from the movement task were significantly related to the UPDRS-III subscore of bradykinesia (p<0.001 for 3/7 metrics). Kinematic metrics (7/9) showed a significant effect of stimulation setting (range: p<0.03–<0.0001) across the three tasks, indicating significant improvements from DBS in these measures. The Cleveland Clinic Stylus provided quantitative kinematic measures of tremor and bradykinesia severity and detected significant improvements in these measures from medication and DBS therapy. This low-cost, easy-to-use tool can provide objective measures that will improve clinical care of PD patients by providing a more reliable and objective evaluation of movement symptoms, disease progression, and effects of therapy in and outside the clinical setting.
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spelling doaj-art-8982b3d1be1a49e29b8e1cfc97641be42025-08-20T03:38:01ZengWileyParkinson's Disease2090-80832042-00802019-01-01201910.1155/2019/68504786850478Kinematic Metrics from a Wireless Stylus Quantify Tremor and Bradykinesia in Parkinson’s DiseaseAndres Maldonado-Naranjo0Mandy Miller Koop1Olivia Hogue2Jay Alberts3Andre Machado4Department of Neurological Surgery, Neurological Institute, Cleveland Clinic Foundation, Cleveland, OH, USADepartment of Biomedical Engineering, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USADepartment of Quantitative Health Sciences, Lerner Research Institute, Cleveland Clinic Foundation, Cleveland, OH, USADepartments of Biomedical Engineering and Center for Neurological Restoration, Neurologic Institute, Cleveland Clinic Foundation, Cleveland, OH, USADepartments of Neurological Surgery and Center for Neurological Restoration, Neurologic Institute, Cleveland Clinic Foundation, Cleveland, OH, USAA fundamental challenge in the clinical care of Parkinson disease (PD) is the current dependence on subjective evaluations of tremor and bradykinesia. New technologies offer the ability to evaluate motor deficits using purely objective measures. The aim of this study was to develop and evaluate the efficacy of a wireless stylus (Cleveland Clinic Stylus) with an embedded motion sensor to quantitatively assess tremor and bradykinesia in patients with PD with subthalamic nucleus (STN) deep brain stimulation (DBS). Twenty-one subjects were tested in various on and off DBS conditions while holding the Cleveland Clinic Stylus while at rest, maintaining a postural hold, and during a movement task. Kinematic metrics were calculated from the motion sensor data, including 3D angular velocity and 3D acceleration data, and were compared between the on and off conditions. Generalized estimating equations (GEEs) were used to determine the relationship between kinematic metrics and MDS-Unified Parkinson’s Disease Rating Scale Motor III (UPDRS-III) subscores. Kinematic metrics from the rest and postural tasks were significantly related to the UPDRS-III subscores of tremor (p<0.001 for all metrics), and kinematic metrics from the movement task were significantly related to the UPDRS-III subscore of bradykinesia (p<0.001 for 3/7 metrics). Kinematic metrics (7/9) showed a significant effect of stimulation setting (range: p<0.03–<0.0001) across the three tasks, indicating significant improvements from DBS in these measures. The Cleveland Clinic Stylus provided quantitative kinematic measures of tremor and bradykinesia severity and detected significant improvements in these measures from medication and DBS therapy. This low-cost, easy-to-use tool can provide objective measures that will improve clinical care of PD patients by providing a more reliable and objective evaluation of movement symptoms, disease progression, and effects of therapy in and outside the clinical setting.http://dx.doi.org/10.1155/2019/6850478
spellingShingle Andres Maldonado-Naranjo
Mandy Miller Koop
Olivia Hogue
Jay Alberts
Andre Machado
Kinematic Metrics from a Wireless Stylus Quantify Tremor and Bradykinesia in Parkinson’s Disease
Parkinson's Disease
title Kinematic Metrics from a Wireless Stylus Quantify Tremor and Bradykinesia in Parkinson’s Disease
title_full Kinematic Metrics from a Wireless Stylus Quantify Tremor and Bradykinesia in Parkinson’s Disease
title_fullStr Kinematic Metrics from a Wireless Stylus Quantify Tremor and Bradykinesia in Parkinson’s Disease
title_full_unstemmed Kinematic Metrics from a Wireless Stylus Quantify Tremor and Bradykinesia in Parkinson’s Disease
title_short Kinematic Metrics from a Wireless Stylus Quantify Tremor and Bradykinesia in Parkinson’s Disease
title_sort kinematic metrics from a wireless stylus quantify tremor and bradykinesia in parkinson s disease
url http://dx.doi.org/10.1155/2019/6850478
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