Evidence map›Paper›PMID 36905050›Full record

ArticleSensors (Basel, Switzerland)2023

An Adaptive Pedaling Assistive Device for Asymmetric Torque Assistant in Cycling.

Jesse Lozinski, Seyed Hamidreza Heidary, Scott C E Brandon, Amin Komeili

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In one paragraph

Article in Sensors (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Jesse LozinskiSchool of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.
Seyed Hamidreza HeidaryDepartment of Biomedical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.
Scott C E BrandonSchool of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0003-1717-5889
Amin KomeiliDepartment of Biomedical Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.

Funding

Natural Sciences and Engineering Research Council RGPIN-2020-05087
6 · The paper itself

Abstract

Dynamic loads have short and long-term effects in the rehabilitation of lower limb joints. However, an effective exercise program for lower limb rehabilitation has been debated for a long time. Cycling ergometers were instrumented and used as a tool to mechanically load the lower limbs and track the joint mechano-physiological response in rehabilitation programs. Current cycling ergometers apply symmetrical loading to the limbs, which may not reflect the actual load-bearing capacity of each limb, as in Parkinson's and Multiple Sclerosis diseases. Therefore, the present study aimed to develop a new cycling ergometer capable of applying asymmetric loads to the limbs and validate its function using human tests. The instrumented force sensor and crank position sensing system recorded the kinetics and kinematics of pedaling. This information was used to apply an asymmetric assistive torque only to the target leg using an electric motor. The performance of the proposed cycling ergometer was studied during a cycling task at three different intensities. It was shown that the proposed device reduced the pedaling force of the target leg by 19% to 40%, depending on the exercise intensity. This reduction in pedal force caused a significant reduction in the muscle activity of the target leg (

Indexed as

BicyclingSelf-Help DevicesTorqueAdultBiomechanical PhenomenaFemaleFootHumansLegMaleMiddle Agedcycling ergometerelectric bicyclekinematicsknee rehabilitation

Identifiers

PMID36905050
PMCPMC10007182

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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.