Evidence map›Paper›PMID 29399378›Full record

ArticleIEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology2017

Reliability of a Feedback-Controlled Treadmill Algorithm Dependent on the User's Behavior.

Casey Wiens, Will Denton, Molly Schieber, Ryan Hartley, Vivien Marmelat, Sara Myers, Jennifer Yentes

Abstract read
In one paragraph

Article in IEEE International Conference on Electro Information Technology : [proceedings]. IEEE International Conference on Electro Information Technology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. How Important is Position in Adaptive Treadmill Control?Journal of biomechanical engineering · 2024
    Article
  3. Article
  4. Task specificity impacts dual-task interference in older adults.Aging clinical and experimental research · 2021
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. 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

7 authors.

Casey WiensDepartment of Biomechanics, University of Nebraska - Omaha, Omaha, NE.
Will DentonDepartment of Biomechanics, University of Nebraska - Omaha, Omaha, NE.
Molly SchieberDepartment of Biomechanics, University of Nebraska - Omaha, Omaha, NE.
Ryan HartleyDepartment of Biomechanics, University of Nebraska - Omaha, Omaha, NE.
Vivien MarmelatDepartment of Biomechanics, University of Nebraska - Omaha, Omaha, NE.
Sara MyersDepartment of Biomechanics, University of Nebraska - Omaha, Omaha, NE.
Jennifer YentesDepartment of Biomechanics, University of Nebraska - Omaha, Omaha, NE.

Funding

Tracking and Evaluation CoreU54GM115458 · NIGMS · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI PHILIBERT, INGRID · 2016 to 2025
$42.8M
Visual control of locomotion in people with Parkinsons diseaseP20GM109090 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI MANGALAM, MADHUR · 2014 to 2023
$20.5M
Mitochondrial dysfunction, oxidative damage and inflammation in claudicationR01AG034995 · NIA · UNIVERSITY OF NEBRASKA MEDICAL CENTER · PI PIPINOS, IRAKLIS ILIAS · 2010 to 2014
$5.2M
Improving mobility in peripheral artery disease using an ankle foot orthosisR01HD090333 · NICHD · UNIVERSITY OF NEBRASKA OMAHA · PI MYERS, SARA A · 2016 to 2020
$2.1M
NHLBI NIH HHS L30 HL129255NIA NIH HHS R01 AG034995NICHD NIH HHS R01 HD090333NIGMS NIH HHS P20 GM109090NIGMS NIH HHS U54 GM115458
6 · The paper itself

Abstract

The reliability of the treadmill belt speed using a feedback-controlled treadmill algorithm was analyzed in this study. Using biomechanical factors of the participant's walking behavior, an estimated walking speed was calculated and used to adjust the speed of the treadmill. Our proposed algorithm expands on the current hypotheses of feedback-controlled treadmill algorithms and is presented below. Nine healthy, young adults walked on a treadmill controlled by the algorithm for three trials over two days. Each participant walked on the feedback-controlled treadmill for one 16-minute and one five-minute trial during day one and one 16-minute trial during day two. Mean, standard deviation, interclass correlation coefficient (ICC), and standard error of measurement (SEM) were analyzed on the treadmill belt speed mean, standard deviation, and coefficient of variation. There were significantly high ICC for mean treadmill speed within- and between-days. Treadmill speed standard deviation and coefficient of variation were significantly reliable within-day. These results suggest the algorithm will reliably produce the same treadmill belt speed mean, but may only produce a similar treadmill belt speed standard deviation and coefficient of variation if the trials are performed in the same day. A feedback-controlled treadmill algorithm that accounts for the user's behavior provides a greater level of control and minimizes any possible constraints of walking on a conventional treadmill.

Identifiers

PMID29399378
PMCPMC5790169

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Registered trials

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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.