Evidence map›Paper›PMID 31086054›Full record

ArticleSensors (Basel, Switzerland)2019

The Effect of Treadmill Walking on Gait and Upper Trunk through Linear and Nonlinear Analysis Methods.

Liang Shi, Feng Duan, Yikang Yang, Zhe Sun

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  3. Females Present Reduced Minimum Toe Clearance During Walking As Compared to Males in Active Older Adults.The journals of gerontology. Series A, Biological sciences and medical sciences · 2024
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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

4 authors.

Liang ShiCollege of Artificial Intelligence, Nankai University, Tianjin 300350, China. liangshi@mail.nankai.edu.cn.
Feng DuanCollege of Artificial Intelligence, Nankai University, Tianjin 300350, China. duanf@nankai.edu.cn.ORCID 0000-0002-2179-2460
Yikang YangCollege of Artificial Intelligence, Nankai University, Tianjin 300350, China. yangyikang@mail.nankai.edu.cn.
Zhe SunComputational Engineering Applications Unit, Head Office for Information Systems and Cybersecurity, RIKEN, Saitama 351-0198, Japan. zhe.sun.vk@riken.jp.ORCID 0000-0002-6531-0769

Funding

Fellowships for Young International Scientists No. 61850410526, 61850410524National Natural Science Foundation of China No. 61673224the Tianjin Natural Science Foundation for Distinguished Young Scholars No. 18JCJQJC46100
6 · The paper itself

Abstract

Treadmills are widely used to recover walking function in the rehabilitation field for those patients with gait disorders. Nevertheless, the ultimate goal of walking function recovery is to walk on the ground rather than on the treadmill. This study aims to determine the effect of treadmill walking on gait and upper trunk movement characteristics using wearable sensors. Eight healthy male subjects are recruited to perform 420-m straight overground walking (OW) and 5 min treadmill walking (TW), wearing 3 inertial measurement units and a pair of insole sensors. In addition to common linear features, nonlinear features, which contains sample entropy, maximal Lyapunov exponent and fractal dynamic of stride intervals (detrended fluctuation analysis), are used to compare the difference between TW and OW condition. Canonical correlation analysis is also used to indicate the correlation between upper trunk movement characteristics and gait features in the aspects of spatiotemporal parameters and gait dynamic features. The experimental results show that the treadmill can cause a shorter stride length, less stride time and worsen long-range correlation of stride intervals. And the treadmill can significantly increase the stability for both gait and upper trunk, while it can significantly reduce gait regularity during swing phase. Canonical correlation analysis results show that treadmill can reduce the correlation between gait and upper trunk features. One possible interpretation of these results is that people tend to walk more cautiously to prevent the risk of falling and neglect the coordination between gait and upper trunk when walking on the treadmill. This study can provide fundamental insightful information about the effect of treadmill walking on gait and upper trunk to support future similar studies.

Indexed as

GaitWalkingAdultExercise TestHumansMaleMovementNonlinear DynamicsUpper ExtremityWearable Electronic DevicesYoung Adultcorrelation analysisgait analysislinear and nonlinear featurestreadmill walkingupper trunk analysiswearable sensors

Identifiers

PMID31086054
PMCPMC6540218

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LicenceCC BY
Read underepoch 390

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.