Evidence map›Paper›PMID 41149293›Full record

ArticleBiosensors2025

Quasi-Static and Dynamic Measurement Capabilities Provided by an Electromagnetic Field-Based Sensory Glove.

Giovanni Saggio, Luca Pietrosanti, I-Jung Lee, Bor-Shing Lin

Abstract read
In one paragraph

Article in Biosensors, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Giovanni SaggioDepartment of Electronic Engineering, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-9034-9921
Luca PietrosantiDepartment of Electronic Engineering, University of Rome Tor Vergata, 00133 Rome, Italy.
I-Jung LeeDepartment of Computer Science and Information Engineering, National Taipei University, New Taipei City 237303, Taiwan.
Bor-Shing LinDepartment of Computer Science and Information Engineering, National Taipei University, New Taipei City 237303, Taiwan.ORCID 0000-0003-0498-3190

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The sensory glove (also known as data or instrumented glove) plays a key role in measuring and tracking hand dexterity. It has been adopted in a variety of different domains, including medical, robotics, virtual reality, and human-computer interaction, to assess hand motor skills and to improve control accuracy. However, no particular technology has been established as the most suitable for all domains, so that different sensory gloves have been developed, adopting different sensors mainly based on optic, electric, magnetic, or mechanical properties. This work investigates the performances of the MANUS Quantum sensory glove that sources an electromagnetic field and measures its changing value at the fingertips during fingers' flexion. Its performance is determined in terms of measurement repeatability, reproducibility, and reliability during both quasi-static and dynamic hand motor tests.

Indexed as

Biosensing TechniquesElectromagnetic FieldsFingersHandHumansdata glovedynamic performanceperformance assessmentquasi-static performancesensory glove

Identifiers

PMID41149293
PMCPMC12564681

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.