Literature DB >> 8335331

Portable system for quantifying motor abnormalities in Parkinson's disease.

J Ghika1, A W Wiegner, J J Fang, L Davies, R R Young, J H Growdon.   

Abstract

In order to quantify motor disabilities in Parkinson's disease (PD), we designed a compact, portable, neurophysiological system based upon a personal computer to measure tremor, bradykinesia, and muscle tone. Tremor was detected by solid state accelerometers and translated into a digital signal. The system displayed the root mean square displacements and frequency distribution of the tremor in the horizontal and vertical planes, along with a reconstructed graphic image of the displacement. Bradykinesia was measured using a panel that detects release and depression of switches in response to auditory and visual signals; the system calculated subjects' reaction times and movement times in milliseconds. Tone at the elbow was measured by strapping the upper extremity to a lightweight low-friction cradle and then passively moving the cradle with an instrumented handle. Signals representing torque and arm angle were processed by the computer and displayed in real time on the screen with stiffness as a mean slope in Nm/degree. In clinical tests, quantitative measures of tremor, movement time and rigidity were significantly abnormal in PD patients compared to control subjects. We conclude that this system is a convenient and accurate method to quantitate important aspects of the parkinsonian syndrome, and may be applied to quantitate other movement disorders.

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Year:  1993        PMID: 8335331     DOI: 10.1109/10.216411

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


  7 in total

1.  Subcortical neuronal ensembles: an analysis of motor task association, tremor, oscillations, and synchrony in human patients.

Authors:  Timothy L Hanson; Andrew M Fuller; Mikhail A Lebedev; Dennis A Turner; Miguel A L Nicolelis
Journal:  J Neurosci       Date:  2012-06-20       Impact factor: 6.167

2.  Monitoring motor fluctuations in patients with Parkinson's disease using wearable sensors.

Authors:  Shyamal Patel; Konrad Lorincz; Richard Hughes; Nancy Huggins; John Growdon; David Standaert; Metin Akay; Jennifer Dy; Matt Welsh; Paolo Bonato
Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-10-20

3.  Muscle and joint elastic properties during elbow flexion in Duchenne muscular dystrophy.

Authors:  C Cornu; F Goubel; M Fardeau
Journal:  J Physiol       Date:  2001-06-01       Impact factor: 5.182

4.  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

5.  Effects of STN DBS on rigidity in Parkinson's disease.

Authors:  Mark B Shapiro; David E Vaillancourt; Molly M Sturman; Leo Verhagen Metman; Roy A E Bakay; Daniel M Corcos
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2007-06       Impact factor: 3.802

6.  Quantitative Analysis of Bradykinesia and Rigidity in Parkinson's Disease.

Authors:  Lazzaro di Biase; Susanna Summa; Jacopo Tosi; Fabrizio Taffoni; Massimo Marano; Angelo Cascio Rizzo; Fabrizio Vecchio; Domenico Formica; Vincenzo Di Lazzaro; Giovanni Di Pino; Mario Tombini
Journal:  Front Neurol       Date:  2018-03-06       Impact factor: 4.003

7.  Measurement and Evaluation of Finger Tapping Movements Using Log-linearized Gaussian Mixture Networks.

Authors:  Keisuke Shima; Toshio Tsuji; Akihiko Kandori; Masaru Yokoe; Saburo Sakoda
Journal:  Sensors (Basel)       Date:  2009-03-26       Impact factor: 3.576

  7 in total

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