Evidence map›Paper›PMID 35368436›Full record

ArticleFrontiers in robotics and AI2022

An Integrated Dynamic Closed Loop Simulation Platform for Elbow Flexion Augmentation Using an Upper Limb Exosuit Model.

Ratna Sambhav, Shreeshan Jena, Ankit Chatterjee, Shubhendu Bhasin, Sushma Santapuri, Lalan Kumar, Suriya Prakash Muthukrishnan, Sitikantha Roy

Abstract read
In one paragraph

Article in Frontiers in robotics and AI, 2022. 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
  2. Review
  3. Review
  4. 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

8 authors.

Ratna SambhavDepartment of Applied Mechanics, Indian Institute of Technology Delhi, New Delhi, India.
Shreeshan JenaDepartment of Applied Mechanics, Indian Institute of Technology Delhi, New Delhi, India.
Ankit ChatterjeeDepartment of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Shubhendu BhasinDepartment of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Sushma SantapuriDepartment of Applied Mechanics, Indian Institute of Technology Delhi, New Delhi, India.
Lalan KumarDepartment of Electrical Engineering, Indian Institute of Technology Delhi, New Delhi, India.
Suriya Prakash MuthukrishnanDepartment of Physiology, All India Institute of Medical Sciences, New Delhi, India.
Sitikantha RoyDepartment of Applied Mechanics, Indian Institute of Technology Delhi, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable robotic devices are designed to assist, enhance or restore human muscle performance. Understanding how a wearable robotic device changes human biomechanics through complex interaction is important to guide its proper design, parametric optimization and functional success. The present work develops a human-machine-interaction simulation platform for closed loop dynamic analysis with feedback control and to study the effect of soft-robotic wearables on human physiology. The proposed simulation platform incorporates Computed Muscle Control (CMC) algorithm and is implemented using the MATLAB -OpenSim interface. The framework is generic and will allow incorporation of any advanced control strategy for the wearable devices. As a demonstration, a Gravity Compensation (GC) controller has been implemented on the wearable device and the resulting decrease in the joint moments, muscle activations and metabolic costs during a simple repetitive load lifting task with two different speeds is investigated.

Indexed as

assistive deviceexosuithuman in-loop biomechanicshuman-machine interactionmusculoskeletal simulationsymbiotic biomechanics

Identifiers

PMID35368436
PMCPMC8967966

What OpenQuestion holds

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LicenceCC BY
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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.