Literature DB >> 17278588

Quantification of tremor and bradykinesia in Parkinson's disease using a novel ambulatory monitoring system.

Arash Salarian1, Heike Russmann, Christian Wider, Pierre R Burkhard, Françios J G Vingerhoets, Kamiar Aminian.   

Abstract

An ambulatory system for quantification of tremor and bradykinesia in patients with Parkinson's disease (PD) is presented. To record movements of the upper extremities, a sensing units which included miniature gyroscopes, has been fixed to each of the forearms. An algorithm to detect and quantify tremor and another algorithm to quantify bradykinesia have been proposed and validated. Two clinical studies have been performed. In the first study, 10 PD patients and 10 control subjects participated in a 45-min protocol of 17 typical daily activities. The algorithm for tremor detection showed an overall sensitivity of 99.5% and a specificity of 94.2% in comparison to a video reference. The estimated tremor amplitude showed a high correlation to the Unified Parkinson's Disease Rating Scale (UPDRS) tremor subscore (e.g., r = 0.87, p < 0.001 for the roll axis). There was a high and significant correlation between the estimated bradykinesia related parameters estimated for the whole period of measurement and respective UPDRS subscore (e.g., r = -0.83, p < 0.001 for the roll axis). In the second study, movements of upper extremities of 11 PD patients were recorded for periods of 3-5 hr. The patients were moving freely during the measurements. The effects of selection of window size used to calculate tremor and bradykinesia related parameters on the correlation between UPDRS and these parameters were studied. By selecting a window similar to the period of the first study, similar correlations were obtained. Moreover, one of the bradykinesia related parameters showed significant correlation (r = -0.74, p < 0.01) to UPDRS with window sizes as short as 5 min. Our study provides evidence that objective, accurate and simultaneous assessment of tremor and bradykinesia can be achieved in free moving PD patients during their daily activities.

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Year:  2007        PMID: 17278588     DOI: 10.1109/TBME.2006.886670

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  75 in total

1.  Correlation among joint motions allows classification of Parkinsonian versus normal 3-D reaching.

Authors:  Jacky Chan; Howard Leung; Howard Poizner
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2009-06-02       Impact factor: 3.802

2.  Development of digital biomarkers for resting tremor and bradykinesia using a wrist-worn wearable device.

Authors:  Nikhil Mahadevan; Charmaine Demanuele; Hao Zhang; Dmitri Volfson; Bryan Ho; Michael Kelley Erb; Shyamal Patel
Journal:  NPJ Digit Med       Date:  2020-01-15

Review 3.  The relevance of clinical balance assessment tools to differentiate balance deficits.

Authors:  M Mancini; F B Horak
Journal:  Eur J Phys Rehabil Med       Date:  2010-06       Impact factor: 2.874

Review 4.  Using wearables to assess bradykinesia and rigidity in patients with Parkinson's disease: a focused, narrative review of the literature.

Authors:  Itay Teshuva; Inbar Hillel; Eran Gazit; Nir Giladi; Anat Mirelman; Jeffrey M Hausdorff
Journal:  J Neural Transm (Vienna)       Date:  2019-05-22       Impact factor: 3.575

5.  Essential tremor quantification during activities of daily living.

Authors:  Dustin A Heldman; Joseph Jankovic; David E Vaillancourt; Janey Prodoehl; Rodger J Elble; Joseph P Giuffrida
Journal:  Parkinsonism Relat Disord       Date:  2011-05-13       Impact factor: 4.891

Review 6.  Transducer-based evaluation of tremor.

Authors:  Dietrich Haubenberger; Giovanni Abbruzzese; Peter G Bain; Nin Bajaj; Julián Benito-León; Kailash P Bhatia; Günther Deuschl; Maria João Forjaz; Mark Hallett; Elan D Louis; Kelly E Lyons; Tiago A Mestre; Jan Raethjen; Maria Stamelou; Eng-King Tan; Claudia M Testa; Rodger J Elble
Journal:  Mov Disord       Date:  2016-06-06       Impact factor: 10.338

7.  Analyzing 180 degrees turns using an inertial system reveals early signs of progression of Parkinson's disease.

Authors:  Arash Salarian; Cris Zampieri; Fay B Horak; Patricia Carlson-Kuhta; John G Nutt; Kamiar Aminian
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

8.  Long-term EMG recordings differentiate between parkinsonian and essential tremor.

Authors:  S Breit; S Spieker; J B Schulz; T Gasser
Journal:  J Neurol       Date:  2008-01-22       Impact factor: 4.849

9.  High-resolution tracking of motor disorders in Parkinson's disease during unconstrained activity.

Authors:  Serge H Roy; Bryan T Cole; L Don Gilmore; Carlo J De Luca; Cathi A Thomas; Marie M Saint-Hilaire; S Hamid Nawab
Journal:  Mov Disord       Date:  2013-03-20       Impact factor: 10.338

10.  Objective quantification of neuromotor symptoms in Parkinson's disease: implementation of a portable, computerized measurement tool.

Authors:  Spyridon Papapetropoulos; Heather L Katzen; Blake K Scanlon; Alexandra Guevara; Carlos Singer; Bonnie E Levin
Journal:  Parkinsons Dis       Date:  2010-06-30
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