Evidence map›Paper›PMID 41884260›Full record

ArticleIEEE transactions on medical robotics and bionics2026

Novel Compact Tactile Stimulator with Sensing: Designed for Individuals with a Brain Injury and MRI.

Nahid Kalantaryardebily, Anna C Feldbush, Ardalan Kahak, Suyi Li, Netta Gurari

Abstract read
In one paragraph

Article in IEEE transactions on medical robotics and bionics, 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.

Nahid KalantaryardebilyDepartment of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA.ORCID 0009-0007-1969-4638
Anna C FeldbushSchool of Neuroscience, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0002-9745-0256
Ardalan KahakDepartment of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA.ORCID 0009-0003-8367-1298
Suyi LiDepartment of Mechanical Engineering, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0002-0355-1655
Netta GurariDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA, USA.ORCID 0000-0002-0969-9108

Funding

Upper-Extremity Torque Perceptual Impairments in Chronic Hemiparetic StrokeK25HD096116 · NICHD · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI GURARI, NETTA · 2018 to 2022
$696k
NICHD NIH HHS K25 HD096116
6 · The paper itself

Abstract

Existing tactile assessments indicate that greater than half of individuals living with a brain injury experience tactile impairments, which impede their recovery. Yet, these tactile assessments lack sensitivity, reliability, and ergonomic compatibility for the millions of individuals who experience a clenched hand posture following their brain injury. We present a novel compact, automated tactile stimulator with real-time force estimation, which we designed for use in brain injury and magnetic resonance imaging (MRI). The system interfaces with the finger through a compact-sized stimulator (9 mm height - 18 mm outer diameter) that uses pneumatic actuation to inflate a silicone membrane. The membrane indents a Kirigami cutout, maintaining a constant 6 mm contact area on the finger and enabling precise force application down to 0.01 N with increments as low as 0.01 N. Integrated fiber optic displacement and pressure sensors provide real-time measurement of the indentation of the skin and estimation of forces applied. A physical model and a neural network each estimated the applied forces, with the latter achieving higher accuracy. This novel tactile stimulator system addresses critical limitations of existing devices, enabling accurate, low-force tactile stimulation and measurement, while maintaining a compact size to investigate the neural processes governing tactile perception, including following a brain injury.

Indexed as

Force SensingKirigamiNeural NetworkSoft HapticsTactile Stimulator

Identifiers

PMID41884260
PMCPMC13012328

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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.