Literature DB >> 10680570

A novel quantitative method for 3D measurement of Parkinsonian tremor.

V Rajaraman1, D Jack, S V Adamovich, W Hening, J Sage, H Poizner.   

Abstract

OBJECTIVE: To demonstrate the usefulness of a three dimensional (3D) motion analysis system for the quantitative measurement of tremor in patients with Parkinson's disease (PD).
METHODS: Six PD patients with hand tremors were studied using a system that employed 3D electromagnetic position sensors to measure the actual, cumulative displacement of the tremoring finger. Patients were studied in different hand positions and activating conditions before and 30, 60, 90 and 120 min after intake of Pramipexole, a dopamine agonist known to reduce tremor. Tremor amplitude and frequency, before and after drug intake, were compared using Mann-Whitney U test and Wilcoxon rank test, respectively.
RESULTS: The motion analysis system allowed discrimination of tremor related events from movement artifact and allowed the calculation of real world movement of the finger tremor despite altered hand positions and orientation. Average 3D tremor frequency ranged from 3.71 to 4.34 Hz. Median tremor amplitude (total distance traveled per 5 s interval) decreased with drug from 4.9 to 1.6 cm for resting tremor, 4.5 to 3.7 cm for postural tremor, 3.4 to 3.3 cm for precision tremor, 10.2 to 3.3 cm for tapping activation and 108.6 to 5.7 cm for counting activation.
CONCLUSIONS: Our method of 3D analysis provides a robust, single quantitative measure of tremor amplitude that is intuitive and likely to reflect the functional impact of tremor. This methodology should be useful in comparing tremor across patients and in measuring the efficacy of therapeutic interventions.

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Mesh:

Year:  2000        PMID: 10680570     DOI: 10.1016/s1388-2457(99)00230-8

Source DB:  PubMed          Journal:  Clin Neurophysiol        ISSN: 1388-2457            Impact factor:   3.708


  5 in total

1.  Clinicians' Tendencies to Under-Rate Parkinsonian Tremors in the Less Affected Hand.

Authors:  Hong Ji Lee; Sang Kyong Kim; Hyeyoung Park; Han Byul Kim; Hyo Seon Jeon; Yu Jin Jung; Eungseok Oh; Hee Jin Kim; Ji Young Yun; Beom S Jeon; Kwang Suk Park
Journal:  PLoS One       Date:  2015-06-25       Impact factor: 3.240

2.  PERFORM: a system for monitoring, assessment and management of patients with Parkinson's disease.

Authors:  Alexandros T Tzallas; Markos G Tsipouras; Georgios Rigas; Dimitrios G Tsalikakis; Evaggelos C Karvounis; Maria Chondrogiorgi; Fotis Psomadellis; Jorge Cancela; Matteo Pastorino; María Teresa Arredondo Waldmeyer; Spiros Konitsiotis; Dimitrios I Fotiadis
Journal:  Sensors (Basel)       Date:  2014-11-11       Impact factor: 3.576

Review 3.  Co-evolution of machine learning and digital technologies to improve monitoring of Parkinson's disease motor symptoms.

Authors:  Anirudha S Chandrabhatla; I Jonathan Pomeraniec; Alexander Ksendzovsky
Journal:  NPJ Digit Med       Date:  2022-03-18

4.  Quantitative Measurement of Akinesia in Parkinson's Disease.

Authors:  Lissette Lalvay; Miguel Lara; Andrea Mora; Fernando Alarcón; Manuel Fraga; Jesús Pancorbo; José Luis Marina; María Ángeles Mena; Jose Luis Lopez Sendón; Justo García de Yébenes
Journal:  Mov Disord Clin Pract       Date:  2016-08-03

Review 5.  Using Portable Transducers to Measure Tremor Severity.

Authors:  Rodger J Elble; James McNames
Journal:  Tremor Other Hyperkinet Mov (N Y)       Date:  2016-05-17
  5 in total

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