Evidence map›Paper›PMID 35062630›Full record

ArticleSensors (Basel, Switzerland)2022

Modal Frequencies Associations with Musculoskeletal Components of Human Legs for Extracorporeal Bone Healing Assessment Based on a Vibration Analysis Approach.

Benjamin Steven Vien, Wing Kong Chiu, Matthias Russ, Mark Fitzgerald

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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

2 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. 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.

Benjamin Steven VienDepartment of Mechanical and Aerospace Engineering, Monash University, Wellington Road, Clayton 3800, Australia.ORCID 0000-0002-0991-4293
Wing Kong ChiuDepartment of Mechanical and Aerospace Engineering, Monash University, Wellington Road, Clayton 3800, Australia.ORCID 0000-0002-4359-2814
Matthias RussThe Alfred Hospital, 55 Commercial Road, Melbourne 3004, Australia.
Mark FitzgeraldThe Alfred Hospital, 55 Commercial Road, Melbourne 3004, Australia.
Monash University · AUThe Alfred Hospital · AU

Funding

Monash Institute of Medical Engineering Project ID51Monash Research Impact Fund (Monash Innovation) N/AOffice of Naval Research N62909-19-1-2051
6 · The paper itself

Abstract

Reliable and quantitative assessments of bone quality and fracture healing prompt well-optimised patient healthcare management and earlier surgical intervention prior to complications of nonunion and malunion. This study presents a clinical investigation on modal frequencies associations with musculoskeletal components of human legs by using a prototype device based on a vibration analysis method. The findings indicated that the first out-of-plane and coupled modes in the frequency range from 60 to 110 Hz are associated with the femur length, suggesting these modes are suitable quantitative measures for bone evaluation. Furthermore, higher-order modes are shown to be associated with the muscle and fat mass of the leg. In addition, mathematical models are formulated via a stepwise regression approach to determine the modal frequencies using the measured leg components as variables. The optimal models of the first modes consist of only femur length as the independent variable and explain approximately 43% of the variation of the modal frequencies. The subsequent findings provide insights for further development on utilising vibration-based methods for practical bone and fracture healing monitoring.

Indexed as

LegVibrationBone and BonesFracture HealingHumansbiomechanicsbone assessmentfracture healinghuman health monitoringmedical devicemodal frequencyvibration analysis

Identifiers

PMID35062630
PMCPMC8779651
OpenAlexW4206006982

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.