Evidence map›Paper›PMID 33917951›Full record

ArticleSensors (Basel, Switzerland)2021

Analysis of 3-D Kinematics Using H-Gait System during Walking on a Lower Body Positive Pressure Treadmill.

Yoshiaki Kataoka, Ryo Takeda, Shigeru Tadano, Tomoya Ishida, Yuki Saito, Satoshi Osuka, Mina Samukawa, Harukazu Tohyama

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

8 authors.

Yoshiaki KataokaFaculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan.
Ryo TakedaFaculty of Engineering, Hokkaido University, Sapporo 060-8628, Japan.ORCID 0000-0001-5047-3437
Shigeru TadanoNational Institute of Technology, Hakodate College, Hakodate 042-8501, Japan.
Tomoya IshidaFaculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan.ORCID 0000-0003-0174-7416
Yuki SaitoFaculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan.
Satoshi OsukaFaculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan.
Mina SamukawaFaculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan.ORCID 0000-0002-4663-598X
Harukazu TohyamaFaculty of Health Sciences, Hokkaido University, Sapporo 060-0812, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recently, treadmills equipped with a lower-body positive-pressure (LBPP) device have been developed to provide precise body weight support (BWS) during walking. Since lower limbs are covered in a waist-high chamber of an LBPP treadmill, a conventional motion analysis using an optical method is impossible to evaluate gait kinematics on LBPP. We have developed a wearable-sensor-based three-dimensional motion analysis system, H-Gait. The purpose of the present study was to investigate the effects of BWS by a LBPP treadmill on gait kinematics using an H-Gait system. Twenty-five healthy subjects walked at 2.5 km/h on a LBPP treadmill under the following three conditions: (1) 0%BWS, (2) 25%BWS and (3) 50%BWS conditions. Acceleration and angular velocity from seven wearable sensors were used to analyze lower limb kinematics during walking. BWS significantly decreased peak angles of hip adduction, knee adduction and ankle dorsiflexion. In particular, the peak knee adduction angle at the 50%BWS significantly decreased compared to at the 25%BWS (

Indexed as

GaitWalkingBiomechanical PhenomenaExercise TestHumansKnee Jointbody weight supportgaitkinematicspositive pressure treadmillwearable sensor

Identifiers

PMID33917951
PMCPMC8068341

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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.