Literature DB >> 22370008

Linear and nonlinear tremor acceleration characteristics in patients with Parkinson's disease.

A Yu Meigal1, S M Rissanen, M P Tarvainen, S D Georgiadis, P A Karjalainen, O Airaksinen, M Kankaanpää.   

Abstract

The purpose of the study was to evaluate linear and nonlinear tremor characteristics of the hand in patients with Parkinson's disease (PD) and to compare the results with those of healthy old and young control subjects. Furthermore, the aim was to study correlation between tremor characteristics and clinical signs. A variety of nonlinear (sample entropy, cross-sample entropy, recurrence rate, determinism and correlation dimension) and linear (amplitude, spectral peak frequency and total power, and coherence) hand tremor parameters were computed from acceleration measurements for PD patients (n = 30, 68.3 ± 7.8 years), and old (n = 20, 64.2 ± 7.0 years) and young (n = 20, 18.4 ± 1.1 years) control subjects. Nonlinear tremor parameters such as determinism, sample entropy and cross-sample entropy were significantly different between the PD patients and healthy controls. These parameters correlated with the Unified Parkinson's disease rating scale (UPDRS), tremor and finger tapping scores, but not with the rigidity scores. Linear tremor parameters such as the amplitude and the maximum power (power corresponding to peak frequency) also correlated with the clinical findings. No major difference was detected in the tremor characteristics between old and young control subjects. The study revealed that tremor in PD patients is more deterministic and regular when compared to old or young healthy controls. The nonlinear tremor parameters can differentiate patients with PD from healthy control subjects and these parameters may have potential in the assessment of the severity of PD (UPDRS).

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Year:  2012        PMID: 22370008     DOI: 10.1088/0967-3334/33/3/395

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  8 in total

1.  Intraoperative acceleration measurements to quantify improvement in tremor during deep brain stimulation surgery.

Authors:  Ashesh Shah; Jérôme Coste; Jean-Jacques Lemaire; Ethan Taub; W M Michael Schüpbach; Claudio Pollo; Erik Schkommodau; Raphael Guzman; Simone Hemm-Ode
Journal:  Med Biol Eng Comput       Date:  2016-09-08       Impact factor: 2.602

2.  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

Review 3.  Non-linear dynamics in parkinsonism.

Authors:  Olivier Darbin; Elizabeth Adams; Anthony Martino; Leslie Naritoku; Daniel Dees; Dean Naritoku
Journal:  Front Neurol       Date:  2013-12-25       Impact factor: 4.003

4.  Parameters of Surface Electromyogram Suggest That Dry Immersion Relieves Motor Symptoms in Patients With Parkinsonism.

Authors:  German G Miroshnichenko; Alexander Yu Meigal; Irina V Saenko; Liudmila I Gerasimova-Meigal; Liudmila A Chernikova; Natalia S Subbotina; Saara M Rissanen; Pasi A Karjalainen
Journal:  Front Neurosci       Date:  2018-09-26       Impact factor: 4.677

5.  A-WEAR Bracelet for Detection of Hand Tremor and Bradykinesia in Parkinson's Patients.

Authors:  Asma Channa; Rares-Cristian Ifrim; Decebal Popescu; Nirvana Popescu
Journal:  Sensors (Basel)       Date:  2021-02-02       Impact factor: 3.576

6.  Wearable sensors during drawing tasks to measure the severity of essential tremor.

Authors:  Sheik Mohammed Ali; Sridhar Poosapadi Arjunan; James Peters; Laura Perju-Dumbrava; Catherine Ding; Michael Eller; Sanjay Raghav; Peter Kempster; Mohammod Abdul Motin; P J Radcliffe; Dinesh Kant Kumar
Journal:  Sci Rep       Date:  2022-03-28       Impact factor: 4.379

Review 7.  Non-Linear EMG Parameters for Differential and Early Diagnostics of Parkinson's Disease.

Authors:  Alexander Y Meigal; Saara M Rissanen; Mika P Tarvainen; Olavi Airaksinen; Markku Kankaanpää; Pasi A Karjalainen
Journal:  Front Neurol       Date:  2013-09-17       Impact factor: 4.003

8.  Automatic Classification of Tremor Severity in Parkinson's Disease Using a Wearable Device.

Authors:  Hyoseon Jeon; Woongwoo Lee; Hyeyoung Park; Hong Ji Lee; Sang Kyong Kim; Han Byul Kim; Beomseok Jeon; Kwang Suk Park
Journal:  Sensors (Basel)       Date:  2017-09-09       Impact factor: 3.576

  8 in total

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