18
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found

      Transducer-based evaluation of tremor : Transducers for Assessing Tremor

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The International Parkinson and Movement Disorder Society established a task force on tremor that reviewed the use of transducer-based measures in the quantification and characterization of tremor. Studies of accelerometry, electromyography, activity monitoring, gyroscopy, digitizing tablet-based measures, vocal acoustic analysis, and several other transducer-based methods were identified by searching PubMed.gov. The availability, use, acceptability, reliability, validity, and responsiveness were reviewed for each measure using the following criteria: (1) used in the assessment of tremor; (2) used in published studies by people other than the developers; and (3) adequate clinimetric testing. Accelerometry, gyroscopy, electromyography, and digitizing tablet-based measures fulfilled all three criteria. Compared to rating scales, transducers are far more sensitive to changes in tremor amplitude and frequency, but they do not appear to be more capable of detecting a change that exceeds random variability in tremor amplitude (minimum detectable change). The use of transducer-based measures requires careful attention to their limitations and validity in a particular clinical or research setting. © 2016 International Parkinson and Movement Disorder Society.

          Related collections

          Most cited references101

          • Record: found
          • Abstract: not found
          • Article: not found

          QUANTIFYING TEST-RETEST RELIABILITY USING THE INTRACLASS CORRELATION COEFFICIENT AND THE SEM

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

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

            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.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Treatment of patients with essential tremor.

              Essential tremor is a common movement disorder. Tremor severity and handicap vary widely, but most patients with essential tremor do not receive a diagnosis and hence are never treated. Furthermore, many patients abandon treatment because of side-effects or poor efficacy. A newly developed algorithm, based on the logarithmic relation between tremor amplitude and clinical tremor ratings, can be used to compare the magnitude of effect of available treatments. Drugs with established efficacy (propranolol and primidone) produce a mean tremor reduction of about 50%. Deep brain stimulation (DBS) in the thalamic nucleus ventrointermedius or neighbouring subthalamic structures reduces tremor by about 90%. However, no controlled trials of DBS have been done, and the best target is still uncertain. Better drugs are needed, and controlled trials are required to determine the safety and efficacy of DBS in the nucleus ventrointermedius and neighbouring subthalamic structures. Copyright © 2011 Elsevier Ltd. All rights reserved.
                Bookmark

                Author and article information

                Journal
                Movement Disorders
                Mov Disord.
                Wiley
                08853185
                September 2016
                September 2016
                June 06 2016
                : 31
                : 9
                : 1327-1336
                Affiliations
                [1 ]Clinical Trials Unit; Office of the Clinical Director, National Institutes of Neurological Disorders and Stroke, National Institutes of Health; Bethesda Maryland USA
                [2 ]DINOGMI University of Genoa; Genoa Italy
                [3 ]Department of Neurology, Imperial College London; Charing Cross Hospital; London United Kingdom
                [4 ]Department of Neurology; Nottingham University Hospitals NHS Trust; Nottingham United Kingdom
                [5 ]Department of Neurology; University Hospital “12 de Octubre”; Madrid Spain
                [6 ]Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas (CIBERNED); Madrid Spain
                [7 ]Department of Medicine; Complutense University; Madrid Spain
                [8 ]Sobell Department for Movement Neuroscience; UCL, Institute of Neurology; Queen Square London United Kingdom
                [9 ]Department of Neurology; Christian-Albrechts-University Kiel; Kiel Germany
                [10 ]National School of Public Health and Red de Investigación en Servicios Sanitarios y Enfermedades Crónicas (REDISSEC); Carlos III Institute of Health; Madrid Spain
                [11 ]Human Motor Control Section; National Institute of Neurological Disorders and Stroke; National Institutes of Health; Bethesda Maryland USA
                [12 ]Departments of Neurology and Chronic Disease Epidemiology; Yale School of Medicine and Yale School of Public Health; Yale University; New Haven Connecticut USA
                [13 ]University of Kansas Medical Center; Kansas City Kansas
                [14 ]Parkinson's disease and Movement Disorders Center; Division of Neurology; Department of Medicine; University of Ottawa, The Ottawa Hospital Research Institute, Ottawa Brain and Mind Research Institute; Ottawa Ontario Canada
                [15 ]Neurology Department; University of Athens, Greece and Neurology Department, Philipps University; Marburg Germany
                [16 ]Department of Neurology; National Neuroscience Institute (SGH campus), Duke NUS Medical School, Singapore General Hospital; Singapore
                [17 ]Department of Neurology and Parkinson's and Movement Disorders Center; Virginia Commonwealth University; Richmond Virginia USA
                [18 ]Department of Neurology; Southern Illinois University School of Medicine; Springfield Illinois USA
                Article
                10.1002/mds.26671
                5014626
                27273470
                9b322f36-ddda-4d88-9924-d921565f153c
                © 2016

                http://doi.wiley.com/10.1002/tdm_license_1.1

                History

                Comments

                Comment on this article