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Journal Nonlinear World №2 for 2015 г.
Article in number:
A method of time-frequency analysis of joint EEG, EMG mechanical tremor signals in Parkinson-s disease
Authors:
O.S. Sushkova - Post-graduate Student, Kotelnikov IRE RAS. Е-mail: o.sushkova@mail.ru A.V. Gabova - Ph.D. (Biol.), Senior Researcher, Institute of Higher Nervous Activity and Neurophysiology of RAS A.V. Karabanov - Ph.D. (Med.), Senior Researcher, Scientific Centre of Neurology of RAS I.A. Kershner - Student, Moscow Institute of Physics and Technology K.Yu. Obukhov - Student, Moscow Institute of Physics and Technology Yu.V. Obukhov - Dr.Sc. (Phys.-Math.), Head of Laboratory, Kotelnikov IRE RAS
Abstract:
A new method for analyzing the time-frequency dynamics of background electrical activity of the brain are described by means of which at least three main features of Parkinson\'s disease (PD) in the early stage are detected: 1) interhemispheric asymmetry of the time-frequency characteristics (EEG) in the central leads of the motor area of the cerebral cortex; 2) the emergence of EEG rhythm in these leads in the frequency range of 4-6 Hz and its relatedness to the electromyograms (EMG) and mechanical tremor of the contralateral limbs in the tremor form of PD; 3) disorganization of the dominant rhythm corresponding to the general ideas about the disorganization of the various systems in Parkinson\'s disease.
Pages: 49-51
References

 

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