Literature DB >> 30363428

Assessment of Head Tremor with Accelerometers Versus Gyroscopic Transducers.

Rodger J Elble1,2, Helge Hellriegel2, Jan Raethjen2, Günther Deuschl2.   

Abstract

BACKGROUND: Accelerometers and gyroscopes are used commonly in the assessment of hand tremor, but their validity in the assessment of head tremor has not been studied. We hypothesized that gyroscopy would be superior to accelerometry because head tremor is rotational motion, and gyroscopes record rotational motion, free of gravitational artifact. We also hypothesized a strong logarithmic relationship between 0 to 4-point tremor ratings and the transducer measures of tremor amplitude, similar to those previously reported for hand tremor.
METHODS: Head tremor was recorded for 1 minute in each of the five head positions used in the Essential Tremor Rating Assessment Scale, using a triaxial accelerometer and triaxial gyroscope mounted at the vertex of the head. Mean and maximum 3-second burst displacement tremor and rotation tremor were computed by spectral analysis. The minimum detectable change for the transducers was estimated using the residual mean squared error from repeated-measures analysis of variance.
RESULTS: Tremor displacement and rotation (T) were logarithmically related to tremor ratings (tremor rating score; TRS): log(T) = α TRS + β, where α ≈ 0.47 for displacement and ≈0.64 for rotation, and β ≈ -1.8 and -1.4. Tremor ratings correlated more strongly with gyroscopy (r = 0.83-0.87) than with accelerometry (r = 0.71-0.75). Minimum detectable change (percent reduction) was approximately 66% of the baseline geometric mean.
CONCLUSIONS: Gyroscopic transducers are superior to accelerometry for assessment of head tremor. Both measures of head tremor are logarithmically related to tremor ratings. The minimum detectable change of the transducer measures is comparable to those previously reported for hand tremor.

Entities:  

Keywords:  accelerometer; dystonia; essential tremor; gyroscope; head tremor

Year:  2016        PMID: 30363428      PMCID: PMC6174406          DOI: 10.1002/mdc3.12379

Source DB:  PubMed          Journal:  Mov Disord Clin Pract        ISSN: 2330-1619


  16 in total

1.  Using the Accelerometers Integrated in Smartphones to Evaluate Essential Tremor.

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Journal:  Stereotact Funct Neurosurg       Date:  2015-02-18       Impact factor: 1.875

2.  Oscillatory head movements in cervical dystonia: Dystonia, tremor, or both?

Authors:  Aasef G Shaikh; David S Zee; H A Jinnah
Journal:  Mov Disord       Date:  2015-04-16       Impact factor: 10.338

3.  Time-frequency analysis of transient neuromuscular events: dynamic changes in activity of the subthalamic nucleus and forearm muscles related to the intermittent resting tremor.

Authors:  Shou-Yan Wang; Tipu Z Aziz; John F Stein; Xuguang Liu
Journal:  J Neurosci Methods       Date:  2005-01-19       Impact factor: 2.390

4.  Tremor amplitude is logarithmically related to 4- and 5-point tremor rating scales.

Authors:  Rodger J Elble; Seth L Pullman; Joseph Y Matsumoto; Jan Raethjen; Günther Deuschl; Ron Tintner
Journal:  Brain       Date:  2006-08-03       Impact factor: 13.501

5.  A stochastic time series model for hand tremor.

Authors:  J E Randall
Journal:  J Appl Physiol       Date:  1973-03       Impact factor: 3.531

6.  Quantitative assessment of botulinum toxin treatment in 43 patients with head tremor.

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7.  Smartphone-based evaluation of parkinsonian hand tremor: quantitative measurements vs clinical assessment scores.

Authors:  N Kostikis; D Hristu-Varsakelis; M Arnaoutoglou; C Kotsavasiloglou
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8.  Propranolol therapy for essential tremor of the head.

Authors:  W C Koller
Journal:  Neurology       Date:  1984-08       Impact factor: 9.910

9.  Clinically deployable Kinesia technology for automated tremor assessment.

Authors:  Joseph P Giuffrida; David E Riley; Brian N Maddux; Dustin A Heldman
Journal:  Mov Disord       Date:  2009-04-15       Impact factor: 10.338

10.  Tremor: clinical phenomenology and assessment techniques.

Authors:  Christopher W Hess; Seth L Pullman
Journal:  Tremor Other Hyperkinet Mov (N Y)       Date:  2012-06-28
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  7 in total

1.  Head tremor in cervical dystonia: Quantifying severity with computer vision.

Authors:  Jeanne P Vu; Elizabeth Cisneros; Ha Yeon Lee; Linh Le; Qiyu Chen; Xiaoyan A Guo; Ryin Rouzbehani; Joseph Jankovic; Stewart Factor; Christopher G Goetz; Richard L Barbano; Joel S Perlmutter; Hyder A Jinnah; Sarah Pirio Richardson; Glenn T Stebbins; Rodger Elble; Cynthia L Comella; David A Peterson
Journal:  J Neurol Sci       Date:  2022-01-22       Impact factor: 4.553

2.  Quantitative Assessment of Head Tremor in Patients with Essential Tremor and Cervical Dystonia by Using Inertial Sensors.

Authors:  Lazar Berbakov; Čarna Jovanović; Marina Svetel; Jelena Vasiljević; Goran Dimić; Nenad Radulović
Journal:  Sensors (Basel)       Date:  2019-09-30       Impact factor: 3.576

3.  Vim-Thalamic Deep Brain Stimulation for Cervical Dystonia and Upper-Limb Tremor: Quantification by Markerless-3D Kinematics and Accelerometry.

Authors:  Xenos L Mason; Katy A Cross; Ahmet Arac; Yvette Bordelon; Allan D Wu
Journal:  Tremor Other Hyperkinet Mov (N Y)       Date:  2022-03-10

4.  A standardized accelerometry method for characterizing tremor: Application and validation in an ageing population with postural and action tremor.

Authors:  Etienne Gauthier-Lafreniere; Meshal Aljassar; Vladimir V Rymar; John Milton; Abbas F Sadikot
Journal:  Front Neuroinform       Date:  2022-08-04       Impact factor: 3.739

5.  PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor using Recurrent Neural Network Models.

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Review 6.  Using Inertial Sensors to Determine Head Motion-A Review.

Authors:  Severin Ionut-Cristian; Dobrea Dan-Marius
Journal:  J Imaging       Date:  2021-12-06

7.  Quantification of Head Tremors in Medical Conditions: A Comparison of Analyses Using a 2D Video Camera and a 3D Wireless Inertial Motion Unit.

Authors:  David Amarantini; Isabelle Rieu; Giovanni Castelnovo; Frédérique Fluchère; Chloé Laurencin; Bertrand Degos; Aurélia Poujois; Alexandre Kreisler; Sophie Sangla; Mélissa Tir; Isabelle Benatru; Geneviève Blanchet-Fourcade; Dominique Guehl; Dominique Gayraud; Laurent Tatu; Christine Tranchant; Franck Durif; Marion Simonetta-Moreau
Journal:  Sensors (Basel)       Date:  2022-03-19       Impact factor: 3.576

  7 in total

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