Evidence map›Paper›PMID 30364325›Full record

ArticleFrontiers in neurorobotics2018

Bio-Cooperative Approach for the Human-in-the-Loop Control of an End-Effector Rehabilitation Robot.

Francesco Scotto di Luzio, Davide Simonetti, Francesca Cordella, Sandra Miccinilli, Silvia Sterzi, Francesco Draicchio, Loredana Zollo

Abstract read
In one paragraph

Article in Frontiers in neurorobotics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. 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

7 authors.

Francesco Scotto di LuzioResearch Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, Rome, Italy.
Davide SimonettiResearch Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, Rome, Italy.
Francesca CordellaResearch Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, Rome, Italy.
Sandra MiccinilliUnit of Physical and Rehabilitation Medicine, Università Campus Bio-Medico di Roma, Rome, Italy.
Silvia SterziUnit of Physical and Rehabilitation Medicine, Università Campus Bio-Medico di Roma, Rome, Italy.
Francesco DraicchioINAIL, Department of Occupational & Environmental Medicine, Monte Porzio Catone, Rome, Italy.
Loredana ZolloResearch Unit of Biomedical Robotics and Biomicrosystems, Università Campus Bio-Medico di Roma, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The design of patient-tailored rehabilitative protocols represents one of the crucial factors that influence motor recovery mechanisms, such as neuroplasticity. This approach, including the patient in the control loop and characterized by a control strategy adaptable to the user's requirements, is expected to significantly improve functional recovery in robot-aided rehabilitation. In this paper, a novel 3D bio-cooperative robotic platform is developed. A new arm-weight support system is included into an operational robotic platform for 3D upper limb robot-aided rehabilitation. The robotic platform is capable of adapting therapy characteristics to specific patient needs, thanks to biomechanical and physiological measurements, and thus closing the subject in the control loop. The level of arm-weight support and the level of the assistance provided by the end-effector robot are varied on the basis of muscular fatigue and biomechanical indicators. An assistance-as-needed approach is applied to provide the appropriate amount of assistance. The proposed platform has been experimentally validated on 10 healthy subjects; they performed 3D point-to-point tasks in two different conditions, i.e., with and without assistance-as-needed. The results have demonstrated the capability of the proposed system to properly adapt to real needs of the patients. Moreover, the provided assistance was shown to reduce the muscular fatigue without negatively influencing motion execution.

Indexed as

arm-gravity supportbiocooperative controlhuman-in-the-loopmuscle activationupper limb robot-aided rehabilitation

Identifiers

PMID30364325
PMCPMC6193510

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.