Extraction of Sources of Tremor in Hand Movements of Patients With Movement Disorders
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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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].”
From Estimation of physiological tremor from accelerometers for real-time applications (2011) · cites this paper as [8]
Cites
Motor primitives in vertebrates and invertebrates
Flash, T., & Hochner, B. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.10.011 · Cited by 508 · see citing works
Hua, S. E., & Lenz, F. A. (2005) · Journal of Neurophysiology · doi:10.1152/jn.00527.2004 · Cited by 134 · see citing works
Adaptive Fourier modeling for quantification of tremor
Riviere, C. N., Reich, S. G., & Thakor, N. V. (1997) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(97)02263-2 · Cited by 83 · see citing works
Handbook of Essential Tremor and Other Tremor Disorders
(2005) · doi:10.1201/b14115 · Cited by 54 · see citing works
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Estimation of physiological tremor from accelerometers for real-time applications
Veluvolu, K. C., & Ang, W. T. (2011) · Sensors · doi:10.3390/s110303020 · Cited by 117 · see citing works
Real-Time Estimation of Pathological Tremor Parameters from Gyroscope Data
Gallego, J., Rocon, E., Roa, J. O., Moreno, J., & Pons, J. L. (2010) · Sensors · doi:10.3390/s100302129 · Cited by 107 · see citing works
- 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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