Evidence map›Paper›PMID 34502844›Full record

ArticleSensors (Basel, Switzerland)2021

Motorized Treadmill and Optical Recording System for Gait Analysis of Grasshoppers.

Leslie Barreto, Ahnsei Shon, Derrick Knox, Hojun Song, Hangue Park, Jeonghee Kim

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Leslie BarretoDepartment of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, TX 77843, USA.
Ahnsei ShonDepartment of Multidisciplinary Engineering, Texas A&M University, College Station, TX 77843, USA.
Derrick KnoxDepartment of Electrical and Computer Engineering, Texas A&M University, College Station, TX 77843, USA.
Hojun SongDepartment of Entomology, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0001-6115-0473
Hangue ParkDepartment of Multidisciplinary Engineering, Texas A&M University, College Station, TX 77843, USA.
Jeonghee KimDepartment of Engineering Technology and Industrial Distribution, Texas A&M University, College Station, TX 77843, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Insects, which serve as model systems for many disciplines with their unique advantages, have not been extensively studied in gait research because of the lack of appropriate tools and insect models to properly study the insect gaits. (2) Methods: In this study, we present a gait analysis of grasshoppers with a closed-loop custom-designed motorized insect treadmill with an optical recording system for quantitative gait analysis. We used the eastern lubber grasshopper, a flightless and large-bodied species, as our insect model. Gait kinematics were recorded and analyzed by making three grasshoppers walk on the treadmill with various speeds from 0.1 to 1.5 m/s. (3) Results: Stance duty factor was measured as 70-95% and decreased as walking speed increased. As the walking speed increased, the number of contact legs decreased, and diagonal arrangement of contact was observed at walking speed of 1.1 cm/s. (4) Conclusions: This pilot study of gait analysis of grasshoppers using the custom-designed motorized insect treadmill with the optical recording system demonstrates the feasibility of quantitative, repeatable, and real-time insect gait analysis.

Indexed as

Gait AnalysisGrasshoppersAnimalsBiomechanical PhenomenaExercise TestGaitPilot ProjectsWalkingclosed-loop motor controlgrasshoppersinsect gait analysismotorized treadmilloptical recording system

Identifiers

PMID34502844
PMCPMC8434632

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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.