Evidence map›Paper›PMID 41366276›Full record

ArticleScientific reports2025

A kinematic-and-muscular modulation strategy for FES-assisted upper limb rehabilitation: a feasibility study.

Andrea Demofonti, Francesca Cordella, Francesco Scotto di Luzio, Valentina Iannelli, Loredana Zollo

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Andrea DemofontiResearch Unit of Advanced Robotics and Human-Centred Technologies (CREO Lab), Università Campus Bio-Medico di Roma, Rome, Italy. a.demofonti@unicampus.it.
Francesca CordellaResearch Unit of Advanced Robotics and Human-Centred Technologies (CREO Lab), Università Campus Bio-Medico di Roma, Rome, Italy.
Francesco Scotto di LuzioResearch Unit of Advanced Robotics and Human-Centred Technologies (CREO Lab), Università Campus Bio-Medico di Roma, Rome, Italy.
Valentina IannelliResearch Unit of Advanced Robotics and Human-Centred Technologies (CREO Lab), Università Campus Bio-Medico di Roma, Rome, Italy.
Loredana ZolloResearch Unit of Advanced Robotics and Human-Centred Technologies (CREO Lab), Università Campus Bio-Medico di Roma, Rome, Italy.

Funding

Italian Institute for Labour Accidents (INAIL) prosthetic center BioARMnext (CUP: E58D19000650005)
6 · The paper itself

Abstract

Functional Electrical Stimulation (FES) is widely adopted for patient rehabilitation since it provides electrical pulses and, consequently, muscle contractions. The aim of the study is to develop a novel closed-loop multichannel contralaterally controlled FES technique for upper limb rehabilitation. In the proposed approach (Kinematic-and-Muscular-based Modulation Strategy, KMMS), the stimulation is off-line modulated by the difference of the myoelectric activity of the same muscle between limbs with the addition of on-line feedback due to kinematic patterns. The reference signals for stimulation were extracted from a dataset of myoelectric and kinematic patterns acquired from the dominant upper limb of ten healthy participants. KMMS represents an improvement of a literature technique (Muscular-based Modulation Strategy, MMS) where the stimulation is off-line modulated exclusively by electromyographic patterns. KMMS and MMS performance were compared by applying them to eight muscles of the non-dominant upper limb of ten healthy participants during ADL execution. KMMS demonstrated an improved completion rate during drinking (from 70% to 89%, P = 0.0200), pouring (from 75% to 89%, P = 0.0435), eating (from 72% to 86%) and handling objects (from 80% to 93%, P = 0.0414).

Indexed as

Electric Stimulation TherapyMuscle, SkeletalUpper ExtremityAdultBiomechanical PhenomenaElectromyographyFeasibility StudiesFemaleHumansMaleMuscle Contraction

Identifiers

PMID41366276
PMCPMC12800182

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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.