The DOI matches its Crossref record; 12 of the 13 references it cites were found in a registry or an index.
Characteristics of hand tremor time series
Abstract
Tremor is classified into physiological, essential, and parkinsonian tremor by means of clinical criteria. The aim of our work was to extract quantitative features from the measurements of the acceleration of human postural hand tremor. Different mathematical methods were adopted and modified in order to separate these three types of tremor. Best discrimination between physiological and pathological tremors has been achieved by methods distinguishing nonlinear from linear behavior. On the other hand, methods separating different forms of nonlinear behavior have been found to be superior in discriminating parkinsonian and essential tremor. By these methods physiological and pathological tremors can be separated with an error rate below 20% and essential and parkinsonian tremor with an error rate below 10%. This may help to classify tremor time series by objective mathematical criteria and may increase the understanding of the pathophysiological differences underlying these kinds of tremor.
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“The following active test features were selected, based on previous literature and their relevancy to PD: (1) Sustained phonation: mel‐frequency cepstral coefficient 2 (MFCC2) 34, 35; (2) Rest tremor: skewness36, 37, 38, 39; (3) Postural tremor: total power40, 41; (4) Finger tapping: intratap variability18, 42; (5) Balance: mean velocity43, 44, 45, 46, 47; and (6) Gait: turn speed46, 48, 49, 50”
From Evaluation of smartphone‐based testing to generate exploratory outcome measures in a phase 1 Parkinson's disease clinical trial (2018) · cites this paper as [36]
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Self-citationAnalyzing the dynamics of hand tremor time series
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Items 101–112 of 112
Feature-Based Gait Pattern Classification for a Robotic Walking Frame
Bonenberger, C. M. A., Kathan, B., & Ertel, W. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-39098-3_8 · Cited by 1
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Self-citationInstrumentação para Análise do Tremor Humano: Plataforma Vibratória para Testes in Vitro
Samyn, L. M., Júnior, M. C. B., Cavalieri, S., Sobral, R. M., Santos, J. G., & de Melo, P. L. (2007) · World Congress on Medical Physics and Biomedical Engineering, September 7 - 12, 2009, Munich, Germany · doi:10.1007/978-3-540-74471-9_119 · Cited by 1
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Rigas, G., Tzallas, A. T., Baga, D. A., Exarchos, T. P., Katsis, C. D., Chaloglou, D. A., Konitsiotis, S., & Fotiadis, D. I. (2009) · IEEE International Conference on Information Technology and Applications in Biomedicine · doi:10.1109/itab.2009.5394349
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Schreiber, T., & Schmitz, A. (2000)
Discrimination of Parkinson's Disease from Essential Tremor using Acceleration based Tremor Analysis
Lee, H., Lee, W., Jeon, H., Kim, S., Kim, H., Jeon, B. S., & Park, K. (2015) · Journal of Biomedical Engineering Research · doi:10.9718/jber.2015.36.4.103
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Developing Efficient Techniques for Clustering and Degradation Analysis in Time Series Data
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Analysing a Periodical and Multi-dimensional Time Series
Hasna, O. L., & Potolea, R. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-05918-7_24
Luft, F. (2020) · doi:10.3990/1.9789036549752
Diagnostic significance of rhythmicity in postural hand tremor
Weede, P., Deuschl, G., Elble, R. J., Wolke, R., Schmidt, G., & Kuhlenbäumer, G. (2026) · Scientific Reports · doi:10.1038/s41598-026-35257-3
Self-citation
Metadata
- Authors
- Timmer, J., Gantert, C., Deuschl, G., & Honerkamp, J.
- Affiliations
- University of Freiburg (DE)
- Venue
- Biological Cybernetics
- Published
- 1993-11
- Volume
- 70
- Issue
- 1
- Pages
- 75-80
- ISSN
- 0340-1200 (ISSN-L)
- 1432-0770
- OpenAlex
- W2052510837
- Cited by
- 112
- References
- 13
- Citations by year
- 2026: 2 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 6 · 2020: 5 · 2019: 3 · 2018: 10 · 2017: 3 · 2016: 3 · 2015: 4 · 2014: 2 · 2013: 2 · 2012: 3
- FWCI
- 1.40
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Biological Cybernetics (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
- Health Sciences › Health Professions › Physical Therapy, Sports Therapy and Rehabilitation › Balance, Gait, and Falls Prevention
- Health Sciences › Medicine › Clinical Neurology › Deep Brain Stimulation and Movement Disorders
- Keywords
- hand tremor, tremor classification, parkinsonian tremor, essential tremor, physiological tremor, nonlinear dynamics, acceleration time series, quantitative features, tremor pathophysiology
- MeSH terms
- Cybernetics, Hand, Humans, Models, Biological, Parkinson Disease, Time Factors, Tremor
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