Quantification of Hand Motor Symptoms in Parkinson’s Disease: A Proof-of-Principle Study Using Inertial and Force Sensors
This proof-of-principle study describes the methodology and explores and demonstrates the applicability of a system, existing of miniature inertial sensors on the hand and a separate force sensor, to objectively quantify hand motor symptoms in patients with Parkinson’s disease (PD) in a clinical set...
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Published in: | Annals of biomedical engineering Vol. 45; no. 10; pp. 2423 - 2436 |
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Main Authors: | , , , , , , , |
Format: | Journal Article |
Language: | English |
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Springer US
01-10-2017
Springer Nature B.V |
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Abstract | This proof-of-principle study describes the methodology and explores and demonstrates the applicability of a system, existing of miniature inertial sensors on the hand and a separate force sensor, to objectively quantify hand motor symptoms in patients with Parkinson’s disease (PD) in a clinical setting (off- and on-medication condition). Four PD patients were measured in off- and on- dopaminergic medication condition. Finger tapping, rapid hand opening/closing, hand pro/supination, tremor during rest, mental task and kinetic task, and wrist rigidity movements were measured with the system (called the PowerGlove). To demonstrate applicability, various outcome parameters of measured hand motor symptoms of the patients in off- vs. on-medication condition are presented. The methodology described and results presented show applicability of the PowerGlove in a clinical research setting, to objectively quantify hand bradykinesia, tremor and rigidity in PD patients, using a single system. The PowerGlove measured a difference in off- vs. on-medication condition in all tasks in the presented patients with most of its outcome parameters. Further study into the validity and reliability of the outcome parameters is required in a larger cohort of patients, to arrive at an optimal set of parameters that can assist in clinical evaluation and decision-making. |
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AbstractList | This proof-of-principle study describes the methodology and explores and demonstrates the applicability of a system, existing of miniature inertial sensors on the hand and a separate force sensor, to objectively quantify hand motor symptoms in patients with Parkinson's disease (PD) in a clinical setting (off- and on-medication condition). Four PD patients were measured in off- and on- dopaminergic medication condition. Finger tapping, rapid hand opening/closing, hand pro/supination, tremor during rest, mental task and kinetic task, and wrist rigidity movements were measured with the system (called the PowerGlove). To demonstrate applicability, various outcome parameters of measured hand motor symptoms of the patients in off- vs. on-medication condition are presented. The methodology described and results presented show applicability of the PowerGlove in a clinical research setting, to objectively quantify hand bradykinesia, tremor and rigidity in PD patients, using a single system. The PowerGlove measured a difference in off- vs. on-medication condition in all tasks in the presented patients with most of its outcome parameters. Further study into the validity and reliability of the outcome parameters is required in a larger cohort of patients, to arrive at an optimal set of parameters that can assist in clinical evaluation and decision-making. |
Author | Veltink, Peter H. Verhagen, Rens Bour, Lo J. Heida, Ciska T. Vos, Michelle C. P. M. van den Noort, Josien C. van Dijk, Kees J. de Bie, Rob M. A. |
Author_xml | – sequence: 1 givenname: Josien C. surname: van den Noort fullname: van den Noort, Josien C. email: j.vandennoort@vumc.nl, j.c.vandennoort@amc.uva.nl organization: Biomedical Signals and Systems Group, MIRA Research Institute for Biomedical Technology and Technical Medicine, University of Twente, Department of Rehabilitation Medicine, VU University Medical Center, Amsterdam Movement Sciences, Department of Radiology and Nuclear Medicine, Musculoskeletal Imaging Quantification Center, Academic Medical Center, Amsterdam Movement Sciences – sequence: 2 givenname: Rens surname: Verhagen fullname: Verhagen, Rens organization: Department of Neurology and Clinical Neurophysiology, Academic Medical Center – sequence: 3 givenname: Kees J. surname: van Dijk fullname: van Dijk, Kees J. organization: Biomedical Signals and Systems Group, MIRA Research Institute for Biomedical Technology and Technical Medicine, University of Twente – sequence: 4 givenname: Peter H. surname: Veltink fullname: Veltink, Peter H. organization: Biomedical Signals and Systems Group, MIRA Research Institute for Biomedical Technology and Technical Medicine, University of Twente – sequence: 5 givenname: Michelle C. P. M. surname: Vos fullname: Vos, Michelle C. P. M. organization: Biomedical Signals and Systems Group, MIRA Research Institute for Biomedical Technology and Technical Medicine, University of Twente – sequence: 6 givenname: Rob M. A. surname: de Bie fullname: de Bie, Rob M. A. organization: Department of Neurology and Clinical Neurophysiology, Academic Medical Center – sequence: 7 givenname: Lo J. surname: Bour fullname: Bour, Lo J. organization: Department of Neurology and Clinical Neurophysiology, Academic Medical Center – sequence: 8 givenname: Ciska T. surname: Heida fullname: Heida, Ciska T. organization: Biomedical Signals and Systems Group, MIRA Research Institute for Biomedical Technology and Technical Medicine, University of Twente |
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Keywords | Inertial sensors Tremor Fingers Bradykinesia Movement analysis Rigidity Hand Parkinson’s disease |
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SubjectTerms | Adult Biochemistry Biological and Medical Physics Biomedical and Life Sciences Biomedical Engineering and Bioengineering Biomedicine Biophysics Classical Mechanics Decision making Dopamine receptors Drugs Female Fingers - pathology Fingers - physiopathology Hand Hand Strength Humans Hypokinesia - diagnosis Hypokinesia - pathology Hypokinesia - physiopathology Inertial sensing devices Male Middle Aged Motor task performance Movement disorders Neurodegenerative diseases Parkinson Disease - diagnosis Parkinson Disease - pathology Parkinson Disease - physiopathology Parkinson's disease Patients Proof of Concept Study Rigidity Sensors Tremor Tremor - diagnosis Tremor - pathology Tremor - physiopathology Wrist |
Title | Quantification of Hand Motor Symptoms in Parkinson’s Disease: A Proof-of-Principle Study Using Inertial and Force Sensors |
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