Evidence map›Paper›PMID 41965745›Full record

ArticleJournal of neuroengineering and rehabilitation2026

Feasibility of optimizing muscle activation of individuals with spinal cord injuries to reduce caregiver effort in assisted transfers.

Asif Arefeen, Kevin Foglyano, Lisa M Lombardo, Musa L Audu, Ronald J Triolo

Abstract read
In one paragraph

Article in Journal of neuroengineering and rehabilitation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Asif ArefeenDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA. mxa1175@case.edu.
Kevin FoglyanoMotion Study Laboratory, Cleveland VA Medical Center, Cleveland, OH, 44106, USA.
Lisa M LombardoMotion Study Laboratory, Cleveland VA Medical Center, Cleveland, OH, 44106, USA.
Musa L AuduDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.
Ronald J TrioloDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, 44106, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSpinal cord injury (SCI) significantly affects the quality of life of affected individuals and their caregivers. Assisted transfers after SCI are physically demanding and one of the leading causes of musculoskeletal injuries among caregivers. While mechanical lift systems can reduce injury risk, their adoption is limited by high costs, large size, and portability. Functional neuromuscular stimulation (FNS) presents a promising alternative for facilitating transfers by activating the paralyzed muscles below the level of injury. However, determining the correct and optimal stimulation profiles during transfers is challenging with heuristic methods alone.

methodsTo address this, we utilized a three-dimensional musculoskeletal model in OpenSim to estimate muscle activation profiles for knee and hip extension during an assisted partial sit-to-stand (STS) maneuver of an individual with SCI by running predictive and inverse dynamics simulations with OpenSim Moco tool. To verify the simulation results, an open-loop controller delivered the predicted neural stimulation to two individuals with SCI (injury level, T10 and T8) during the STS portion of assisted transfer activities with a single physical therapist acting as a caregiver for consistency. The caregiver was able to complete the partial STS with stimulation, but could not complete the prescribed lifting maneuver without activation of the paralyzed muscles. The ground reaction forces and kinematic data from the experiment (with and without stimulation) were used in the OpenSim MocoInverse tool for inverse dynamics computation to estimate joint reaction forces of the caregiver model.

resultsOptimized stimulation assisted knee and hip extension of the participants with SCI reduced the predicted joint reaction forces experienced by the caregiver, significantly decreasing peak total shoulder joint reaction forces magnitudes by 23.8% (T10) and 33.2% (T8). For one participant (T8), predicted hip and lumbar spine joint reaction force magnitudes of the caregiver were reduced by 27.5%, and 35.3%, respectively.

conclusionsThe results indicate that optimizing neural stimulation profiles for individuals with SCI to facilitate assisted transfers is feasible and has the potential to reduce the physical effort and therefore the likelihood of injurious joint loads experienced by the caregiver.

Indexed as

CaregiversElectric Stimulation TherapyMoving and Lifting PatientsMuscle, SkeletalSpinal Cord InjuriesAdultBiomechanical PhenomenaComputer SimulationFeasibility StudiesFemaleHumansMaleModels, Biologicaland Optimal controlFunctional neuromuscular stimulation (FNS)Musculoskeletal modelingSpinal cord injury (SCI)

Identifiers

PMID41965745
PMCPMC13214108

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.