Literature DB >> 18407522

Novel parameters of surface EMG in patients with Parkinson's disease and healthy young and old controls.

A I Meigal1, S Rissanen, M P Tarvainen, P A Karjalainen, I A Iudina-Vassel, O Airaksinen, M Kankaanpää.   

Abstract

The aim of this study was to evaluate a variety of traditional and novel surface electromyography (SEMG) characteristics of biceps brachii muscle in patients with Parkinson's disease (PD) and compare the results with the healthy old and young control subjects. Furthermore, the aim was to define the optimal biceps brachii loading level that would most likely differentiate patients from controls. The results indicated that such nonlinear SEMG parameters as %Recurrence, %Determinism and SEMG distribution kurtosis, correlation dimension and sample entropy were significantly different between the PD patients and healthy controls. These novel nonlinear parameters, unlike traditional spectral or amplitude parameters, correlated with the Unified Parkinson's Disease Rating Scale (UPDRS) and finger tapping scores. The most significant between group differences were found in the loading condition where no additional weights were applied in isometric elbow flexion. No major difference of SEMG characteristics was detected between old and young control subjects. In conclusion, the novel SEMG parameters can differentiate the patients with PD from healthy control subjects and these parameters may have potential in the assessment of the severity of PD.

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Year:  2008        PMID: 18407522     DOI: 10.1016/j.jelekin.2008.02.008

Source DB:  PubMed          Journal:  J Electromyogr Kinesiol        ISSN: 1050-6411            Impact factor:   2.368


  29 in total

1.  Analysis of EMG and acceleration signals for quantifying the effects of deep brain stimulation in Parkinson's disease.

Authors:  Saara M Rissanen; Markku Kankaanpää; Mika P Tarvainen; Vera Novak; Peter Novak; Kun Hu; Brad Manor; Olavi Airaksinen; Pasi A Karjalainen
Journal:  IEEE Trans Biomed Eng       Date:  2011-06-13       Impact factor: 4.538

2.  CSF xanthine, homovanillic acid, and their ratio as biomarkers of Parkinson's disease.

Authors:  Peter LeWitt; Lonni Schultz; Peggy Auinger; Mei Lu
Journal:  Brain Res       Date:  2011-07-01       Impact factor: 3.252

3.  Memory load effect in auditory-verbal short-term memory task: EEG fractal and spectral analysis.

Authors:  Miodrag Stokić; Dragan Milovanović; Miloš R Ljubisavljević; Vanja Nenadović; Milena Čukić
Journal:  Exp Brain Res       Date:  2015-07-14       Impact factor: 1.972

4.  Beta-band motor unit coherence and nonlinear surface EMG features of the first dorsal interosseous muscle vary with force.

Authors:  Lara McManus; Matthew W Flood; Madeleine M Lowery
Journal:  J Neurophysiol       Date:  2019-07-31       Impact factor: 2.714

5.  Empirical Wavelet Transform Based Features for Classification of Parkinson's Disease Severity.

Authors:  Qi Wei Oung; Hariharan Muthusamy; Shafriza Nisha Basah; Hoileong Lee; Vikneswaran Vijean
Journal:  J Med Syst       Date:  2017-12-29       Impact factor: 4.460

6.  Improved methods for electroacupuncture and electromyographic recordings in normal and parkinsonian rhesus monkeys.

Authors:  Feng Zhao; Xiaotong Fan; Richard Grondin; Ramsey Edwards; Eric Forman; Jennifer Moorehead; Greg Gerhardt; Xiaomin Wang; Zhiming Zhang
Journal:  J Neurosci Methods       Date:  2010-07-21       Impact factor: 2.390

7.  Semi-automated Detection of Polysomnographic REM Sleep without Atonia (RSWA) in REM Sleep Behavioral Disorder.

Authors:  Iva Milerska; Vaclav Kremen; Vaclav Gerla; Erik K St Louis; Lenka Lhotska
Journal:  Biomed Signal Process Control       Date:  2019-03-07       Impact factor: 3.880

8.  Nonlinear parameters of surface EMG in schizophrenia patients depend on kind of antipsychotic therapy.

Authors:  Alexander Yu Meigal; German G Miroshnichenko; Anna P Kuzmina; Saara M Rissanen; Stefanos D Georgiadis; Pasi A Karjalainen
Journal:  Front Physiol       Date:  2015-07-10       Impact factor: 4.566

9.  Bio-inspired dimensionality reduction for Parkinson's disease (PD) classification.

Authors:  Akram Pasha; P H Latha
Journal:  Health Inf Sci Syst       Date:  2020-03-09

10.  A Novel Interpretation of Sample Entropy in Surface Electromyographic Examination of Complex Neuromuscular Alternations in Subacute and Chronic Stroke.

Authors:  Xiao Tang; Xu Zhang; Xiaoping Gao; Xiang Chen; Ping Zhou
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2018-08-08       Impact factor: 3.802

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