Evidence map›Paper›PMID 32824976›Full record

ArticleSensors (Basel, Switzerland)2020

Validation of Fabric-Based Thigh-Wearable EMG Sensors and Oximetry for Monitoring Quadriceps Activity during Strength and Endurance Exercises.

Riccardo Di Giminiani, Marco Cardinale, Marco Ferrari, Valentina Quaresima

Open access · goldAbstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 16% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.

  1. Pooled it
  2. Review
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  5. Article
  6. Article
  7. A Review on Assisted Living Using Wearable Devices.Sensors (Basel, Switzerland) · 2024
    Review
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  9. Review
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  13. Grand challenges in physical neuroergonomics.Frontiers in neuroergonomics · 2023
    Article
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  15. Review
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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 at 2 institutions in 3 countries.

Riccardo Di GiminianiDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0003-3574-3114
Marco CardinaleAspetar Orthopaedic and Sports Medicine Hospital, Doha PO Box 29222, Qatar.ORCID 0000-0002-2777-8707
Marco FerrariDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0002-3041-2917
Valentina QuaresimaDepartment of Life, Health and Environmental Sciences, University of L'Aquila, 67100 L'Aquila, Italy.ORCID 0000-0001-9884-0304
University of L'Aquila · ITQatar Orthopaedic and Sports Medicine Hospital · QA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Muscle oximetry based on near-infrared spectroscopy (NIRS) and electromyography (EMG) techniques in adherent clothing might be used to monitor the muscular activity of selected muscle groups while exercising. The fusion of these wearable technologies in sporting garments can allow the objective assessment of the quality and the quantity of the muscle activity as well as the continuous monitoring of exercise programs. Several prototypes integrating EMG and NIRS have been developed previously; however, most devices presented the limitations of not measuring regional muscle oxyhemoglobin saturation and did not embed textile sensors for EMG. The purpose of this study was to compare regional muscle oxyhemoglobin saturation and surface EMG data, measured under resting and dynamic conditions (treadmill run and strength exercises) by a recently developed wearable integrated quadriceps muscle oximetry/EMG system adopting smart textiles for EMG, with those obtained by using two "gold standard" commercial instrumentations for EMG and muscle oximetry. The validity and agreement between the wearable integrated muscle oximetry/EMG system and the "gold standard" instrumentations were assessed by using the Bland-Altman agreement plots to determine the bias. The results support the validity of the data provided by the wearable electronic garment developed purposely for the quadriceps muscle group and suggest the potential of using such device to measure strength and endurance exercises in vivo in various populations.

Indexed as

Quadriceps MuscleTextilesWearable Electronic DevicesAdultCross-Over StudiesElectromyographyHumansMaleOximetryThighYoung AdultEMGNIRSoximetryquadricepsskeletal muscle functionwearable biosensors

Identifiers

PMID32824976
PMCPMC7506815
OpenAlexW3063441071

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.