Literature DB >> 25571201

Objective quantification of upper extremity motor functions in Unified Parkinson's Disease Rating Scale Test.

Xiaoqing Jia, Nathalie Duroseau, Vivian Chan, Christina Ciraco, Rui Wang, Sarah Mostafa Nia, Kayla Ho, John P Govindavari, Farshid Delgosha, Thomas Chan, Kathleen Mangunay Pergament, Bhuma Krishnamachari, Aydin Farajidavar.   

Abstract

Two tri-axial accelerometers were placed on the wrists (one on each hand) of the patients with Parkinson's disease (PD) and a non-PD control group. Subjects were asked to perform three of the upper extremity motor function tasks from the Unified Parkinson's Disease Rating Scale (UPDRS) test. The tasks were: 1) finger tapping, 2) opening and closing of palms, and 3) pronation-supination movements of the forearms. The inertia signals were wirelessly received and stored on a computer for further off-line analysis. Various features such as range, standard deviation, entropy, time to accomplish the task, and maximum frequency present in the signal were extracted and compared. The results showed that among the studied population, "standard deviation", "range", "entropy", "time" and "max frequency" are the best to worst features, respectively, to distinguish between the non-PD and PD subjects. Furthermore, using the mentioned features, it is more probable to distinguish between the non-PD and PD subjects from tasks 2 and 3 as opposed to task 1.

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Mesh:

Year:  2014        PMID: 25571201     DOI: 10.1109/EMBC.2014.6944833

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  4 in total

1.  Frequency of hand movements as a possible diagnostic tool for parkinsonian bradykinesia. Proposal of a simple bedside test.

Authors:  Yacov Balash; Ronit Gilad
Journal:  Neurol Sci       Date:  2021-10-14       Impact factor: 3.307

Review 2.  How Wearable Sensors Can Support Parkinson's Disease Diagnosis and Treatment: A Systematic Review.

Authors:  Erika Rovini; Carlo Maremmani; Filippo Cavallo
Journal:  Front Neurosci       Date:  2017-10-06       Impact factor: 4.677

3.  Optical Hand Tracking: A Novel Technique for the Assessment of Bradykinesia in Parkinson's Disease.

Authors:  Paulina J M Bank; Johan Marinus; Carel G M Meskers; Jurriaan H de Groot; Jacobus J van Hilten
Journal:  Mov Disord Clin Pract       Date:  2017-09-13

Review 4.  Technologies Assessing Limb Bradykinesia in Parkinson's Disease.

Authors:  Hasan Hasan; Dilan S Athauda; Thomas Foltynie; Alastair J Noyce
Journal:  J Parkinsons Dis       Date:  2017       Impact factor: 5.568

  4 in total

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