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Pendulum testing of spasticity
Abstract
Simple and inexpensive instrumentation required for pendulum testing of spasticity is described. It is based on the use of an electrogoniometer and tachometer. Eight parameters are extracted from the goniogram and the tachogram to evaluate the degree of spasticity. The correlation coefficients are calculated to determine the parameters relevant for the estimation of spasticity. Spasticity was assessed in the knee extensors of ten spinal cord injury patients and in five hemiplegics. The described instrumentation and evaluation of the pendulum test provide an effective spasticity testing in the clinical environment.
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Cited by
Understanding and measurement of muscle tone as related to clinical muscle pain
Simons, G. D., & Mense, S. (1998) · Pain · doi:10.1016/s0304-3959(97)00102-4 · Cited by 353
Objective quantification of spastic hypertonia: Correlation with clinical findings
Katz, R. T., Rovai, G. P., Brait, C., & Rymer, W. Z. (1992) · Archives of Physical Medicine and Rehabilitation · doi:10.1016/0003-9993(92)90007-j · Cited by 314
Kim, Y.-W. (2013) · Journal of Physical Therapy Science · doi:10.1589/jpts.25.1279 · Cited by 9
Metadata
- Authors
- Bajd, T., & Vodovnik, L.
- Venue
- Journal of Biomedical Engineering
- Publisher
- IOP Publishing
- Published
- 1984-01-01
- Volume
- 6
- Issue
- 1
- Pages
- 9-16
- ISSN
- 0141-5425 (ISSN-L)
- OpenAlex
- W2040017350
- Cited by
- 219
- References
- 0
- FWCI
- 2.74
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Pendulum testing of spasticity. https://app.cochat.ai/papers/10.1016/0141-5425(84)90003-7
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- Bajd, T., & Vodovnik, L. (1984). Pendulum testing of spasticity. Journal of Biomedical Engineering. https://doi.org/10.1016/0141-5425(84)90003-7
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
