Evidence map›Paper›PMID 34118746›Full record

ArticleGait & posture2021

Sampling rate influences the regularity analysis of temporal domain measures of walking more than spatial domain measures.

Farahnaz Fallahtafti, Shane R Wurdeman, Jennifer M Yentes

Open access · greenAbstract read
In one paragraph

Article in Gait & posture, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
8.2field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 32 citations in OpenAlex.

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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

3 authors at 2 institutions in 2 countries.

Farahnaz FallahtaftiCenter for Research in Human Movement Variability, Department of Biomechanics, University of Nebraska at Omaha, 6160 University Drive, Omaha, NE, 68182-0860, United States. Electronic address: ffallahtafti@unomaha.edu.
Shane R WurdemanDepartment of Clinical and Scientific Affairs, Hanger Clinic, 10910 Domain Dr. Ste 300, Austin, TX, 78758, United States. Electronic address: shanewurdeman@gmail.com.
Jennifer M YentesCenter for Research in Human Movement Variability, Department of Biomechanics, University of Nebraska at Omaha, 6160 University Drive, Omaha, NE, 68182-0860, United States; VA Nebraska-Western Iowa Health Care System, VA Research Service, 4104 Woolworth Avenue (112), Omaha, NE, 68105, United States; Department of Health and Kinesiology, Texas A&M University, 2929 Research Parkway, College Station, TX, 77843, United States. Electronic address: jyentes@unomaha.edu.
University of Nebraska at Omaha · USAnderson Orthopaedic Clinic · US

Funding

Visual control of locomotion in people with Parkinsons diseaseP20GM109090 · NIGMS · UNIVERSITY OF NEBRASKA OMAHA · PI HUNT, NATHANIEL H · 2014 to 2023
$20.5M
Improving exercise capacity in chronic obstructive pulmonary disease patients through uphill walkingI21RX003294 · VA · OMAHA VA MEDICAL CENTER · PI ROMBERGER, DEBRA J · 2020 to 2022
–
NHLBI NIH HHS L30 HL129255NIGMS NIH HHS P20 GM109090RRD VA I21 RX003294
6 · The paper itself

Abstract

backgroundThe spatiotemporal dynamics of stepping can provide useful information about walking performance. Most often, the identification of gait motion is performed using 3-D cinematography. The sampling rate of motion capture systems may influence the accuracy of these measures albeit in varying degrees for measures within the spatial versus temporal domain. RESEARCH QUESTION: What are the effects of sampling frequency on common analysis methods of measures within the spatial and temporal domain?

methodsSpecifically, mean, variability (i.e. standard deviation), and regularity (i.e. sample entropy) of step length (i.e. spatial domain) and step time (i.e. temporal domain) measures were assessed following ten minutes of preferred-speed treadmill walking in eleven young adults.

resultsThe spatiotemporal mean measures were not affected by changing sampling frequencies. Frequencies ≥120 Hz showed consistent results for spatial variability measures, while temporal variability increased due to decreased resolution in capturing variability when data was sampled at 120 Hz or less. In assessing regularity, poor temporal resolution at lower sampling rates led to "binning", limiting the variety of vector patterns. As a result, more vectors were classified as similar, leading to a signal appearing more periodic. For the spatial domain, sample entropy was not affected, indicating the greater sensitivity of step time to sampling rate compared to step length. SIGNIFICANCE: Sampling rate influenced recognition of gait events. By reducing the sampling rate, the time intervals were increased and reduced the resolution leading to less accurate gait event detection in the temporal domain. The sampling rate of 120 Hz is the minimum sampling rate that should be used to calculate spatiotemporal data for variability and sample entropy.

Indexed as

GaitWalkingEntropyExercise TestHumansPeriodicityYoung AdultDown sampleGaitSample entropyStep lengthStep timeVariability

Identifiers

PMID34118746
PMCPMC8316383
OpenAlexW3165991290

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.