Evidence map›Paper›PMID 36386390›Full record

ArticleFrontiers in neurorobotics2022

Assessment methodology for human-exoskeleton interactions: Kinetic analysis based on muscle activation.

Vasco Fanti, Vittorio Sanguineti, Darwin G Caldwell, Jesús Ortiz, Christian Di Natali

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  3. Review
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  5. 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

5 authors.

Vasco FantiDepartment of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Vittorio SanguinetiDepartment of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), Università degli Studi di Genova (UniGe), Genova, Italy.
Darwin G CaldwellDepartment of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Jesús OrtizDepartment of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy.
Christian Di NataliDepartment of Advanced Robotics (ADVR), Istituto Italiano di Tecnologia (IIT), Genova, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During the development and assessment of an exoskeleton, many different analyzes need to be performed. The most frequently used evaluate the changes in muscle activations, metabolic consumption, kinematics, and kinetics. Since human-exoskeleton interactions are based on the exchange of forces and torques, the latter of these, kinetic analyzes, are essential and provide indispensable evaluation indices. Kinetic analyzes, however, require access to, and use of, complex experimental apparatus, involving many instruments and implicating lengthy data analysis processes. The proposed methodology in this paper, which is based on data collected

Indexed as

assistanceemg-to-force processingexoskeletonshuman-robot interactionkinematickinetic

Identifiers

PMID36386390
PMCPMC9643542

What OpenQuestion holds

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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.