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Is The Physiological Tremor An Error Source For Balance Regulation, Inducing Body Sway During Standing?

2006· article· en· W2524315604 on OpenAlexaff
Kei Masani, Albert H. Vette, Miloš R. Popović, Minoru Shinohara

Bibliographic record

VenueMedicine & Science in Sports & Exercise · 2006
Typearticle
Languageen
FieldMedicine
TopicNeurological disorders and treatments
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnklePhysical medicine and rehabilitationCenter of pressure (fluid mechanics)Inverted pendulumElectromyographyBalance (ability)Control theory (sociology)TorqueSimulationPsychologyMedicineComputer sciencePhysicsAnatomyMechanicsArtificial intelligenceControl (management)

Abstract

fetched live from OpenAlex

It has been reported that for healthy individuals a pair of motor units in the soleus muscle synchronizes at about 10 Hz during quiet standing. This motor activity is similar to the physiological tremor that can usually be observed in fingers. In our previous studies, we confirmed the presence of the physiological tremor using surface electromyograms of all three ankle extensors. PURPOSE: 1) To identify a synchronized recurring activity among ankle extensors, and 2) to test the hypothesis, that the physiological tremor generates spontaneous body sway during quiet standing in the simulation study. METHODS: The experiment was carried out with fifteen healthy individuals who were asked to stand quietly with their eyes open or closed. Muscle activities in the right ankle extensors were measured using rectified electromyograms. Also measured were the approximated center of mass displacement, which is the representative variable of body sway, and the center of pressure displacement, which is an approximation of the ankle torque. Both variables were measured in the anterior-posterior direction only, and auto- and cross-spectral analyses were performed with the recordings. Two PD controllers, a mechanical and a neural controller, were used in the simulations to control an inverted pendulum. The physiological tremor was simulated using an autoregressive process and was implemented as an error source in the motor command in order to induce body sway. The motor command was converted to ankle torque using a second-order critically damped filter. The objective of our analysis in the simulation study was to test whether the physiological tremor can produce the observed amount of body sway or not. RESULTS: We found an assembled muscle activity at about 9 Hz. It was also revealed that the physiological tremor was synchronized among the three ankle extensors, inducing an ankle torque fluctuation at the corresponding frequency. In the simulation study, we demonstrated that the physiological tremor as added to the motor command successfully induced a body sway as large as the one observed in experiments with able bodied individuals. CONCLUSIONS: We conclude that the physiological tremor component can be an error source for balance regulation, inducing spontaneous body sway during quiet standing.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.302
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2006
Admission routes1
Has abstractyes

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