Evidence map›Paper›PMID 31200593›Full record

ArticleSensors (Basel, Switzerland)2019

A Glove-Based Form Factor for Collecting Joint Acoustic Emissions: Design and Validation.

Nicholas B Bolus, Hyeon Ki Jeong, Daniel C Whittingslow, Omer T Inan

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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.

Nicholas B BolusBioengineering Graduate Program, Georgia Institute of Technology, Atlanta, GA 30332, USA. nbolus@gatech.edu.
Hyeon Ki JeongSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA. hjeong39@gatech.edu.
Daniel C WhittingslowWallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA. d.c.whittingslow@emory.edu.
Omer T InanSchool of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA. inan@gatech.edu.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008169 · NIGMS · EMORY UNIVERSITY · PI GROSS, ROBERT E · 1987 to 2021
$20.3M
Developing animal models for diseases using RNAiR21AG023808 · NIA · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI XU, ZUOSHANG · 2004 to 2005
$347k
National Science Foundation CAREER Award 1749677NIBIB NIH HHS 1R01EB023808NIGMS NIH HHS T32 GM008169
6 · The paper itself

Abstract

Sounds produced by the articulation of joints have been shown to contain information characteristic of underlying joint health, morphology, and loading. In this work, we explore the use of a novel form factor for non-invasively acquiring acoustic/vibrational signals from the knee joint: an instrumented glove with a fingertip-mounted accelerometer. We validated the glove-based approach by comparing it to conventional mounting techniques (tape and foam microphone pads) in an experimental framework previously shown to reliably alter healthy knee joint sounds (vertical leg press). Measurements from healthy subjects (N = 11) in this proof-of-concept study demonstrated a highly consistent, monotonic, and significant (p < 0.01) increase in low-frequency signal root-mean-squared (RMS) amplitude-a straightforward metric relating to joint grinding loudness-with increasing vertical load across all three techniques. This finding suggests that a glove-based approach is a suitable alternative for collecting joint sounds that eliminates the need for consumables like tape and the interface noise associated with them.

Indexed as

acoustic emissionsglovejoint soundsknee joint loadingwearable sensing

Identifiers

PMID31200593
PMCPMC6632050

What OpenQuestion holds

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Registered trials

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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.