Literature DB >> 10699388

A quantitative surface electromyogram analysis for diagnosis and therapy control in Parkinson's disease.

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Abstract

Computer analysis of EMG data on tonic and phasic activities of mm. biceps and triceps brahii was performed to evaluate objectively Parkinson's disease (PD) symptoms and to quantify levodopa therapy effects. Fifteen patients were evaluated in the OFF and eleven in the ON states. Ten healthy controls were also studied. The following EMG parameters were examined: average and maximal amplitudes at rest, occurrence of burst muscle discharges (BMD) with a frequency of 4-7Hz, phasic activation coefficients (PhAC) of the voluntarily contracting flexors and reflex agonist/antagonist muscle involvement under voluntary movement or tonic strain. Statistically significant correlations of resting EMG amplitudes and PhACs with the part III UPDRS motor scores were found. However, the level of antagonist muscle involvement correlated specifically with the part II UPDRS and dyskinesia (disability) scores. Treatment with levodopa produced a clear positive effect on resting amplitudes, PhAC values and BMD occurrence. But in some cases levodopa caused an enhancement of agonist and antagonist muscle involvement, which may be an objective indicator of the risk for developing drug-induced dyskinesia in PD patients.

Entities:  

Year:  2000        PMID: 10699388     DOI: 10.1016/s1353-8020(99)00052-8

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  4 in total

1.  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

2.  Kinematic optimization of deep brain stimulation across multiple motor symptoms in Parkinson's disease.

Authors:  Thomas Mera; Jerrold L Vitek; Jay L Alberts; Joseph P Giuffrida
Journal:  J Neurosci Methods       Date:  2011-04-01       Impact factor: 2.390

3.  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

4.  A Multi-Sensor Wearable System for the Quantitative Assessment of Parkinson's Disease.

Authors:  Han Zhang; Chuantao Li; Wei Liu; Jingying Wang; Junhong Zhou; Shouyan Wang
Journal:  Sensors (Basel)       Date:  2020-10-29       Impact factor: 3.576

  4 in total

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