Evidence map›Paper›PMID 22448233›Full record

ArticlePloS one2012

Measuring multi-joint stiffness during single movements: numerical validation of a novel time-frequency approach.

Davide Piovesan, Alberto Pierobon, Paul DiZio, James R Lackner

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Simulation of variable impedance as an intervention for upper extremity motor exploration.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2017
    Article
  4. Article
  5. Article
  6. Article
  7. Haptic recognition of dystonia and spasticity in simulated multi-joint hypertonia.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 2013
    Article
  8. System identification of physiological systems using short data segments.IEEE transactions on bio-medical engineering · 2012
    Article
  9. Third-Order Muscle Models: The Role of Oscillatory Behavior In Force Control.International Mechanical Engineering Congress and Exposition : [proceedings]. International Mechanical Engineering Congress and Exposition · 2012
    Article
  10. Comparing Two Computational Mechanisms for Explaining Functional Recovery in Robot-Therapy of Stroke Survivors.Proceedings of the ... IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics. IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics · 2012
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Davide PiovesanSensory Motor Performance Program, Rehabilitation Institute of Chicago, Chicago, Illinois, United States of America. d-piovesan@northwestern.edu
Alberto Pierobon
Paul DiZio
James R Lackner

Funding

Interaction torques in voluntary turning and reachingR01AR048546 · NIAMS · BRANDEIS UNIVERSITY · PI LACKNER, JAMES R. · 2003 to 2010
$2.6M
Delayed Motor Learning in AutismR01MH086053 · NIMH · BRANDEIS UNIVERSITY · PI DIZIO, PAUL · 2010 to 2012
$1.1M
NIAMS NIH HHS 2 R01AR048546-06NIAMS NIH HHS R01 AR048546NIMH NIH HHS 5 R01 MH086053-02NIMH NIH HHS R01 MH086053
6 · The paper itself

Abstract

This study presents and validates a Time-Frequency technique for measuring 2-dimensional multijoint arm stiffness throughout a single planar movement as well as during static posture. It is proposed as an alternative to current regressive methods which require numerous repetitions to obtain average stiffness on a small segment of the hand trajectory. The method is based on the analysis of the reassigned spectrogram of the arm's response to impulsive perturbations and can estimate arm stiffness on a trial-by-trial basis. Analytic and empirical methods are first derived and tested through modal analysis on synthetic data. The technique's accuracy and robustness are assessed by modeling the estimation of stiffness time profiles changing at different rates and affected by different noise levels. Our method obtains results comparable with two well-known regressive techniques. We also test how the technique can identify the viscoelastic component of non-linear and higher than second order systems with a non-parametrical approach. The technique proposed here is very impervious to noise and can be used easily for both postural and movement tasks. Estimations of stiffness profiles are possible with only one perturbation, making our method a useful tool for estimating limb stiffness during motor learning and adaptation tasks, and for understanding the modulation of stiffness in individuals with neurodegenerative diseases.

Indexed as

AlgorithmsComputer SimulationArmBiomechanical PhenomenaElasticityHumansJointsModels, BiologicalMotor ActivityRegression AnalysisTime Factors

Identifiers

PMID22448233
PMCPMC3309009

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.