Literature DB >> 21342835

A model of the surface electromyogram in pathological tremor.

Jakob Lund Dideriksen, Roger M Enoka, Dario Farina.   

Abstract

The study developed a novel multi-scale model for simulating the surface electromyogram (EMG) of an antagonistic pair of muscles during pathological tremor. By combining and expanding mathematical descriptions from motor units to limb kinematics, the model constitutes the first attempt to simulate the surface EMG and the individual motor unit activity under the influence of descending voluntary command, oscillatory noise in the descending signal, and afferent feedback when controlling a freely moving limb to achieve a predefined angular trajectory. The oscillatory noise was adjusted to simulate various types of pathological tremor. The simulations replicated previously reported experimental results for the power spectral density of the surface EMG, the angular velocity of the limb, and single motor unit activity. The model provides a powerful tool for extracting information about how the surface EMG can be used to describe tremor in various conditions, including different tremor frequencies and intensities, that cannot be achieved solely with experimental approaches.

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Year:  2011        PMID: 21342835     DOI: 10.1109/TBME.2011.2118756

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  3 in total

1.  Effect of number of motor units and muscle fibre type on surface electromyogram.

Authors:  Sridhar Poosapadi Arjunan; Dinesh Kant Kumar; Katherine Wheeler; Hirokazu Shimada; Ariba Siddiqi
Journal:  Med Biol Eng Comput       Date:  2015-07-30       Impact factor: 2.602

2.  Motor Unit-Driven Identification of Pathological Tremor in Electroencephalograms.

Authors:  Aleš Holobar; Juan A Gallego; Jernej Kranjec; Eduardo Rocon; Juan P Romero; Julián Benito-León; José L Pons; Vojko Glaser
Journal:  Front Neurol       Date:  2018-10-29       Impact factor: 4.003

3.  Learning fine-grained estimation of physiological states from coarse-grained labels by distribution restoration.

Authors:  Zengyi Qin; Jiansheng Chen; Zhenyu Jiang; Xumin Yu; Chunhua Hu; Yu Ma; Suhua Miao; Rongsong Zhou
Journal:  Sci Rep       Date:  2020-12-15       Impact factor: 4.379

  3 in total

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