Evidence map›Paper›PMID 40644119›Full record

ArticleIEEE ... International Conference on Rehabilitation Robotics : [proceedings]2025

Towards an Optimal Model of Post-Stroke Sensorimotor Control.

Erica L Waters, Reem Azar, Joana Opong-Duah, Samuel Gaardsmoe, Alwyn Johnson, Rochelle J Mendonca, Pamela Z Cacchione, Michelle J Johnson

Abstract read
In one paragraph

Article in IEEE ... International Conference on Rehabilitation Robotics : [proceedings], 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. Can an Optimal Control Model Capture Tracking Kinematics? Insights from Healthy and Post-Stroke Robot Interactions.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2025
    Article
  2. Modeling Post-Stroke Motor Behavior from Structural Lesion Networks: A Preliminary Study with Robot-Based Assessments.International IEEE/EMBS Conference on Neural Engineering : [proceedings]. International IEEE EMBS Conference on Neural Engineering · 2025
    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.

Erica L Waters
Reem Azar
Joana Opong-Duah
Samuel Gaardsmoe
Alwyn Johnson
Rochelle J Mendonca
Pamela Z Cacchione
Michelle J Johnson

Funding

Training Program in Musculoskeletal ResearchT32AR007132 · NIAMS · UNIVERSITY OF PENNSYLVANIA · PI Robert L Mauck, LOUIS J SOSLOWSKY · 1986 to 2026
$4.9M
Rehabilitation Using Community-Based Affordable Robotic Exercise Systems (Rehab CARES)R42HD104325 · NICHD · RECUPERO ROBOTICS LLC · PI JOHNSON, ALWYN P., JOHNSON, MICHELLE J. · 2021 to 2023
$1.8M
Leveraging Robot-Based Haptic Dyads to Improve Community-Based Stroke RehabilitationF31HD116597 · NICHD · UNIVERSITY OF PENNSYLVANIA · PI Erica Waters · 2024 to 2026
$148k
NIAMS NIH HHS T32 AR007132NICHD NIH HHS F31 HD116597NICHD NIH HHS R42 HD104325
6 · The paper itself

Abstract

After stroke, motor control deficits are a common cause of disability. An optimal control model could provide insight into how motor and cognitive impairments influence post-stroke sensorimotor control. We present an initial attempt at modeling how post-stroke individuals perform a robot-based preview tracking task. Specifically, we fit a feedback controller with added delay and position bias to the impaired and less-impaired limbs of 11 stroke patients. We use an inverse linear quadratic regulator (LQR) to find the cost function for each participant. We also use linear regression to determine relationships between model parameters and clinical assessments of motor and cognitive impairments. Our main findings are that post-stroke sensorimotor control can be modeled as an optimal feedback controller and adding a delay and bias constant may improve the performance of this model. We also comment on how model parameters may be related to clinical assessments via linear regression. Future work should model more individuals and evaluate kinematic performance.

Indexed as

RoboticsStroke RehabilitationAgedBiomechanical PhenomenaFemaleHumansMaleMiddle AgedStroke

Identifiers

PMID40644119
PMCPMC12861173

What OpenQuestion holds

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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.