Cited by 23Blind Source Separation TechniquesEEG and Brain-Computer InterfacesMotor Control and Adaptation

Extraction of Sources of Tremor in Hand Movements of Patients With Movement Disorders

Vinjamuri, R., Crammond, D.J., Kondziolka, D., Heung-No Lee, Zhi-Hong Mao·2009·IEEE Transactions on Information Technology in Biomedicine

Abstract

This paper proposes an efficient method to acquire sources of tremor in patients with movement disorders based on blind source separation of convolutive mixtures. The extracted sources indicated neural activities that might be generated in the central nervous system. Four patients with essential tremor were tested in a set of movement tasks. Subjects wore a data glove that measured finger movements of the hand. The experimental data were then fed to a convolutive-mixture model, which revealed sources that imbibed in them the tremor frequency components of 2--8 Hz. Time--frequency analysis of these sources might be of potential help to clinicians to devise tasks that can manifest visible tremor from patients.

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Crossref · 10.1109/titb.2008.2006403

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4 of 4 references verified0 citation errors · 0 not checkable

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  • Pathological tremor tends to display a dominant frequency, and that frequency tends to remain constant with slight variations.

    “Pathological tremor (patients with essential tremor and Parkinson disease) tend to display tremor with a dominant frequency [5–8].”

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Authors
Vinjamuri, R., Crammond, D. J., Kondziolka, D., Lee, H.-N., & Mao, Z.-H.
Affiliations
University of Pittsburgh (US)
Venue
IEEE Transactions on Information Technology in Biomedicine
Published
2009-01
Volume
13
Issue
1
Pages
49-56
ISSN
1089-7771 (ISSN-L)
OpenAlex
W2115506212
Cited by
23
References
4
Citations by year
2020: 1 · 2019: 1 · 2018: 1 · 2017: 1 · 2015: 3 · 2014: 2 · 2013: 3 · 2012: 4
FWCI
4.24
Type
journal article
Language
en
Open access
closed
Locations
  • IEEE Transactions on Information Technology in Biomedicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Signal Processing › Blind Source Separation Techniques
  • Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Keywords
essential tremor, movement disorders, blind source separation, convolutive mixtures, hand movement, finger movement, neuronal activity, data glove, time-frequency analysis, tremor detection
MeSH terms
Adult, Aged, Algorithms, Biomechanical Phenomena, Data Collection, Diagnosis, Computer-Assisted, Female, Fourier Analysis, Hand, Humans, Male, Movement, Psychomotor Performance, Essential Tremor

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