Evidence map›Paper›PMID 39768101›Full record

ArticleBioengineering (Basel, Switzerland)2024

Development of a Wearable Electromyographic Sensor with Aerosol Jet Printing Technology.

Stefano Perilli, Massimo Di Pietro, Emanuele Mantini, Martina Regazzetti, Pawel Kiper, Francesco Galliani, Massimo Panella, Dante Mantini

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Aerosol Jet Printing for Neuroprosthetic Device Development.Bioengineering (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Review
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.

Stefano PerilliDepartment of Information Engineering, Electronics and Telecommunications, University of Rome "La Sapienza", 00184 Rome, Italy.
Massimo Di PietroComec Innovative s.r.l., Via Papa Leone XIII 34, 66100 Chieti, Italy.
Emanuele MantiniComec Innovative s.r.l., Via Papa Leone XIII 34, 66100 Chieti, Italy.
Martina RegazzettiHealthcare Innovation Technology Lab, IRCCS San Camillo Hospital, Via Alberoni 70, 30126 Venezia, Italy.ORCID 0009-0002-8892-2474
Pawel KiperHealthcare Innovation Technology Lab, IRCCS San Camillo Hospital, Via Alberoni 70, 30126 Venezia, Italy.ORCID 0000-0001-5990-5734
Francesco GallianiComec Innovative s.r.l., Via Papa Leone XIII 34, 66100 Chieti, Italy.
Massimo PanellaDepartment of Information Engineering, Electronics and Telecommunications, University of Rome "La Sapienza", 00184 Rome, Italy.ORCID 0000-0002-9876-1494
Dante MantiniMovement Control and Neuroplasticity Research Group, KU Leuven, Tervuursevest 101, 3001 Leuven, Belgium.ORCID 0000-0001-6485-5559

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electromyographic (EMG) sensors are essential tools for analyzing muscle activity, but traditional designs often face challenges such as motion artifacts, signal variability, and limited wearability. This study introduces a novel EMG sensor fabricated using Aerosol Jet Printing (AJP) technology that addresses these limitations with a focus on precision, flexibility, and stability. The innovative sensor design minimizes air interposition at the skin-electrode interface, thereby reducing variability and improving signal quality. AJP enables the precise deposition of conductive materials onto flexible substrates, achieving a thinner and more conformable sensor that enhances user comfort and wearability. Performance testing compared the novel sensor to commercially available alternatives, highlighting its superior impedance stability across frequencies, even under mechanical stress. Physiological validation on a human participant confirmed the sensor's ability to accurately capture muscle activity during rest and voluntary contractions, with clear differentiation between low and high activity states. The findings highlight the sensor's potential for diverse applications, such as clinical diagnostics, rehabilitation, and sports performance monitoring. This work establishes AJP technology as a novel approach for designing wearable EMG sensors, providing a pathway for further advancements in miniaturization, strain-insensitive designs, and real-world deployment. Future research will explore optimization for broader applications and larger populations.

Indexed as

Aerosol Jet Printingelectro-conductivity propertieselectromyography sensorsimpedance prediction

Identifiers

PMID39768101
PMCPMC11673101

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.