Evidence map›Paper›PMID 36501933›Full record

ReviewSensors (Basel, Switzerland)2022

Multi-Sensing Techniques with Ultrasound for Musculoskeletal Assessment: A Review.

Jonathan de Oliveira, Mauren Abreu de Souza, Amauri Amorin Assef, Joaquim Miguel Maia

Open access · goldAbstract readReview
In one paragraph

Review 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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. 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 at 2 institutions in 1 country.

Jonathan de OliveiraGraduate Program in Health Technology (PPGTS), Pontifical Catholic University of Paraná, Curitiba 80215-901, Brazil.ORCID 0000-0002-7216-0666
Mauren Abreu de SouzaGraduate Program in Health Technology (PPGTS), Pontifical Catholic University of Paraná, Curitiba 80215-901, Brazil.ORCID 0000-0001-6137-918X
Amauri Amorin AssefGraduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology of Paraná (UTFPR), Curitiba 80230-901, Brazil.ORCID 0000-0002-2001-5387
Joaquim Miguel MaiaGraduate Program in Electrical and Computer Engineering (CPGEI), Federal University of Technology of Paraná (UTFPR), Curitiba 80230-901, Brazil.ORCID 0000-0001-6309-8664
Pontifícia Universidade Católica do Paraná · BRUniversidade Tecnológica Federal do Paraná · BR

Funding

Coordination of Superior Level Staff Improvement 001Federal Technological University of Paraná NANational Council for Scientific and Technological Development 146388/2020-8Pontifical Catholic University of Paraná NA
6 · The paper itself

Abstract

The study of muscle contractions generated by the muscle-tendon unit (MTU) plays a critical role in medical diagnoses, monitoring, rehabilitation, and functional assessments, including the potential for movement prediction modeling used for prosthetic control. Over the last decade, the use of combined traditional techniques to quantify information about the muscle condition that is correlated to neuromuscular electrical activation and the generation of muscle force and vibration has grown. The purpose of this review is to guide the reader to relevant works in different applications of ultrasound imaging in combination with other techniques for the characterization of biological signals. Several research groups have been using multi-sensing systems to carry out specific studies in the health area. We can divide these studies into two categories: human-machine interface (HMI), in which sensors are used to capture critical information to control computerized prostheses and/or robotic actuators, and physiological study, where sensors are used to investigate a hypothesis and/or a clinical diagnosis. In addition, the relevance, challenges, and expectations for future work are discussed.

Indexed as

Muscle, SkeletalTendonsElectromyographyHumansMuscle ContractionUltrasonographybiomedical engineeringbiosensingelectromyography (EMG)monitoring techniquesmotor unit (MU)muscle-tendon unit (MTU)ultrasound (US)

Identifiers

PMID36501933
PMCPMC9740760
OpenAlexW4310153733

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.