Evidence map›Paper›PMID 36236539›Full record

ArticleSensors (Basel, Switzerland)2022

Novel Planar Strain Sensor Design for Capturing 3-Dimensional Fingertip Forces from Patients Affected by Hand Paralysis.

Jacob Carducci, Kevin Olds, John W Krakauer, Jing Xu, Jeremy D Brown

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 42% 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.

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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Optimizing Cross-Modal Matching for Multimodal Motor Rehabilitation.IEEE ... International Conference on Rehabilitation Robotics : [proceedings] · 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

5 authors at 2 institutions in 1 country.

Jacob CarducciDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Kevin OldsDepartment of Neurology, Johns Hopkins Medicine, Baltimore, MD 21287, USA.
John W KrakauerDepartment of Neurology, Johns Hopkins Medicine, Baltimore, MD 21287, USA.
Jing XuDepartment of Kinesiology, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0003-0388-5046
Jeremy D BrownDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.ORCID 0000-0001-5586-455X
Johns Hopkins University · USUniversity of Georgia · US

Funding

James S. McDonnell Foundation n/a
6 · The paper itself

Abstract

Assessment and therapy for individuals who have hand paresis requires force sensing approaches that can measure a wide range of finger forces in multiple dimensions. Here we present a novel strain-gauge force sensor with 3 degrees of freedom (DOF) designed for use in a hand assessment and rehabilitation device. The sensor features a fiberglass printed circuit board substrate to which eight strain gauges are bonded. All circuity for the sensor is routed directly through the board, which is secured to a larger rehabilitative device via an aluminum frame. After design, the sensing package was characterized for weight, capacity, and resolution requirements. Furthermore, a test sensor was calibrated in a three-axis configuration and validated in the larger spherical workspace to understand how accurate and precise the sensor is, while the sensor has slight shortcomings with validation error, it does satisfy the precision, calibration accuracy, and fine sensing requirements in orthogonal loading, and all structural specifications are met. The sensor is therefore a great candidate for sensing technology in rehabilitation devices that assess dexterity in patients with impaired hand function.

Indexed as

AluminumHandFingersHand StrengthHumansParalysisAluminum3DcalibrationFEAfingerhandloadingplaterehabilitationstrainstrokeupper-limb

Identifiers

PMID36236539
PMCPMC9571685
OpenAlexW4303980475

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.