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Title: A Glove-Based Form Factor for Collecting Joint Acoustic Emissions: Design and Validation
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.  more » « less
Award ID(s):
1749677
NSF-PAR ID:
10133850
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
Sensors
Volume:
19
Issue:
12
ISSN:
1424-8220
Page Range / eLocation ID:
2683
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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