Evidence map›Paper›PMID 28492520›Full record

ArticleScientific reports2017

An ecologically-controlled exoskeleton can improve balance recovery after slippage.

V Monaco, P Tropea, F Aprigliano, D Martelli, A Parri, M Cortese, R Molino-Lova, N Vitiello, S Micera

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03296904 (The CYBERnetic LowEr-Limb CoGnitive Ortho-prosthesis Plus Plus, 1st Clinical Study), which is not on this map. Cited by 41 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed, 2 pooled it
28.6field-weighted citation impact, top 1% of its field
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.

NCT03296904 nacompletednot on this mapstarted 2018, after this paper: background citation

The CYBERnetic LowEr-Limb CoGnitive Ortho-prosthesis Plus Plus, 1st Clinical Study: Validation of the Efficacy of the CYBERnetic LowEr-Limb CoGnitive Ortho-prosthesis Plus Plus Modules in a Clinical Setting

TypeinterventionalSponsorFondazione Don Carlo Gnocchi ETSRan2018 to 2019Enrolled8ConditionsTransfemoral AmputationArmsCLs++
3 · Its place in the literature

Who cites it

41 citing papers in PubMed, 2 syntheses or guidelines pooled it, 126 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Fall inducing movable platform (FIMP) for overground trips and slips.Journal of neuroengineering and rehabilitation · 2020
    Trial
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Machine Learning Enables Rapid Detection of Slips Using a Robotic Hip Exoskeleton.IEEE transactions on medical robotics and bionics · 2025
    Article
  11. Article
  12. A Lightweight Powered Hip Exoskeleton With Parallel Actuation for Frontal and Sagittal Plane Assistance.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025
    Article
  13. Article
  14. Online Adaptation Framework Enables Personalization of Exoskeleton Assistance During Locomotion in Patients Affected by Stroke.IEEE transactions on robotics : a publication of the IEEE Robotics and Automation Society · 2025
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Assisting walking balance using a bio-inspired exoskeleton controller.Journal of neuroengineering and rehabilitation · 2023
    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

9 authors at 3 institutions in 3 countries.

V MonacoThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
P TropeaThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
F ApriglianoThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
D MartelliThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
A ParriThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
M CorteseThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
R Molino-LovaIRCSS Don Carlo Gnocchi Foundation, Firenze, Italy.
N VitielloThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
S MiceraThe BioRobotics Institute, Scuola Superiore Sant'Anna, Pisa, Italy.
Scuola Superiore Sant'Anna · ITDon Carlo Gnocchi Foundation · ITÉcole Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution to bipedalism forced humans to develop suitable strategies for dynamically controlling their balance, ensuring stability, and preventing falling. The natural aging process and traumatic events such as lower-limb loss can alter the human ability to control stability significantly increasing the risk of fall and reducing the overall autonomy. Accordingly, there is an urgent need, from both end-users and society, for novel solutions that can counteract the lack of balance, thus preventing falls among older and fragile citizens. In this study, we show a novel ecological approach relying on a wearable robotic device (the Active Pelvis Orthosis, APO) aimed at facilitating balance recovery after unexpected slippages. Specifically, if the APO detects signs of balance loss, then it supplies counteracting torques at the hips to assist balance recovery. Experimental tests conducted on eight elderly persons and two transfemoral amputees revealed that stability against falls improved due to the "assisting when needed" behavior of the APO. Interestingly, our approach required a very limited personalization for each subject, and this makes it promising for real-life applications. Our findings demonstrate the potential of closed-loop controlled wearable robots to assist elderly and disabled subjects and to improve their quality of life.

Indexed as

Orthotic DevicesAccidental FallsAgedAmputeesHumansLower ExtremityMaleMiddle AgedPostural BalanceQuality of LifeRecovery of FunctionWalking

Identifiers

PMID28492520
PMCPMC5426188
OpenAlexW2613688818

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.