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Open AccessArticle

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

1
Bioengineering Graduate Program, Georgia Institute of Technology, Atlanta, GA 30332, USA
2
School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30313, USA
3
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
4
School of Medicine, Emory University, Atlanta, GA 30322, USA
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(12), 2683; https://doi.org/10.3390/s19122683
Received: 13 May 2019 / Revised: 6 June 2019 / Accepted: 10 June 2019 / Published: 13 June 2019
(This article belongs to the Special Issue Wearable and Nearable Biosensors and Systems for Healthcare)
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. View Full-Text
Keywords: acoustic emissions; joint sounds; glove; wearable sensing; knee joint loading acoustic emissions; joint sounds; glove; wearable sensing; knee joint loading
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MDPI and ACS Style

Bolus, N.B.; Jeong, H.K.; Whittingslow, D.C.; Inan, O.T. A Glove-Based Form Factor for Collecting Joint Acoustic Emissions: Design and Validation. Sensors 2019, 19, 2683.

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