Evidence map›Paper›PMID 38092486›Full record

ArticleMedical engineering & physics2023

Treadmill-based system for postural studies: Design and validation.

Jennifer H Barnes, Amir Eftekhar, Timothy T Fake, C Steven Carmack, Edward W Greenberg, Jeremy R Crenshaw, Jonathan R Wolpaw

Open access · greenAbstract read
In one paragraph

Article in Medical engineering & physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 69% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 2 institutions in 1 country.

Jennifer H BarnesNational Center for Adaptive Neurotechnologies, Albany Stratton VA Medical Center, Albany NY USA; Department of Kinesiology and Applied Physiology, University of Delaware, Newark DE USA. Electronic address: Barnes@neurotechcenter.org.
Amir EftekharNational Center for Adaptive Neurotechnologies, Albany Stratton VA Medical Center, Albany NY USA.
Timothy T FakeNational Center for Adaptive Neurotechnologies, Albany Stratton VA Medical Center, Albany NY USA.
C Steven CarmackNational Center for Adaptive Neurotechnologies, Albany Stratton VA Medical Center, Albany NY USA.
Edward W GreenbergNational Center for Adaptive Neurotechnologies, Albany Stratton VA Medical Center, Albany NY USA.
Jeremy R CrenshawDepartment of Kinesiology and Applied Physiology, University of Delaware, Newark DE USA.
Jonathan R WolpawNational Center for Adaptive Neurotechnologies, Albany Stratton VA Medical Center, Albany NY USA.
Neurotech (United States) · USUniversity of Delaware · US

Funding

Training and DisseminationP41EB018783 · NIBIB · WADSWORTH CENTER · PI Jonathan Saul Carp · 2014 to 2026
$15.4M
Dynamics and Causal Functions of Large-Scale Cortical and Subcortical NetworksU01NS108916 · NINDS · WADSWORTH CENTER · PI WOLPAW, JONATHAN RICKEL · 2018 to 2019
$1.4M
NIBIB NIH HHS P41 EB018783NINDS NIH HHS U01 NS108916
6 · The paper itself

Abstract

Computer-controlled treadmills are common in many gait labs and offer great potential for conducting perturbation-based postural studies. However, the time-course of these disturbances can be too brief to be controlled manually through product software. Here we present a system that combines a Bertec® split-belt treadmill with custom hardware and software to deliver postural disturbances during standing and record data from multiple sources simultaneously. We used this system to administer to 15 healthy participants an 8-session perturbation-based training protocol in which they learned to respond without stepping to progressively larger perturbations. Kinematic, electromyographic, and force data were collected throughout. Motion capture was used to characterize the accuracy and repeatability of the treadmill-delivered perturbations with respect to duration, displacement, and peak velocity. These (observed) data were compared to that expected based on software commands and the known constraints of the treadmill (i.e., 10 Hz operating speed). We found perturbation durations to be as expected. Peak velocities and displacements were slightly higher than expected (average increases were 0.59 cm/s and 1.76 cm, respectively). Because this increase in magnitude was consistent, it did not impede training or affect data analysis. Treadmill behavior was repeatable across 95 % of trials.

Indexed as

GaitWalkingBiomechanical PhenomenaExercise TestHumansPostural BalanceStanding PositionComputer-controlled treadmillFall preventionPerturbation-based trainingPostural controlRehabilitation

Identifiers

PMID38092486
PMCPMC10813654
OpenAlexW4388666100

What OpenQuestion holds

Textmetadata
LicenceTDM
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.