Motion Artifact Resistant Mounting of Acoustic Emission Sensors for Knee Joint Monitoring


Among the many diverse methods of recording biological signals, sound and acoustic emission monitoring are becoming popular for data acquisition; however, these sensors tend to be very susceptible to motion artefacts and noise. In the case of joint monitoring, this issue is even more significant, considering that joint sounds are recorded during limb movements to establish joint health and performance. This paper investigates different sensor attachment methods for acoustic emission monitoring of the knee, which could lead to reduced motion and skin movement artefacts and improve the quality of sensory data sets. As a proof-of-concept study, several methods were tested over a range of exercises to evaluate noise resistance and signal quality. The signals least affected by motion artefacts were recorded when using high-density ethylene-vinyl acetate (EVA) foam holders, attached to the skin with double-sided biocompatible adhesive tape. Securing and isolating the connecting cable with foam is also recommended to avoid noise due to the cable movement.Clinical Relevance - The results of this study will be useful in joint AE monitoring, as well as in other methods of body sound recording that involve the mounting of relatively heavy sensors, such as phonocardiography and respiratory monitoring.

Publication DOI:
Divisions: College of Engineering & Physical Sciences > School of Engineering and Technology > Mechanical, Biomedical & Design
College of Engineering & Physical Sciences > School of Engineering and Technology
Additional Information: © 2021 IEEE. This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see Funding Information: This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under Grant number 12/RC/2289-P2 (INSIGHT) which is co-funded under the European Regional Development Fund (ERDF). Aspects of this publication have emanated from research conducted with the financial support of SFI under Grant numbers 13/RC/2077 (CONNECT) and 16/RC/3918 (CONFIRM) which are cofunded under the ERDF.
Event Title: 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2021
Event Type: Other
Event Dates: 2021-11-01 - 2021-11-05
Uncontrolled Keywords: acoustic emission,joint sounds,motion artifacts,on-body sensor monitoring,sensor attachment,Signal Processing,Biomedical Engineering,Computer Vision and Pattern Recognition,Health Informatics
ISBN: 978-1-7281-1180-3, 978-1-7281-1179-7
Last Modified: 22 Apr 2024 07:36
Date Deposited: 08 Feb 2023 13:46
Full Text Link:
Related URLs: https://ieeexpl ... ocument/9629954 (Publisher URL)
PURE Output Type: Conference contribution
Published Date: 2021-12-09
Published Online Date: 2021-12-09
Authors: Khokhlova, Liudmila
Komaris, Sokratis (ORCID Profile 0000-0003-4623-9060)
Tedesco, Salvatore
O'Flynn, Brendan



Version: Published Version

License: Creative Commons Attribution

| Preview

Export / Share Citation


Additional statistics for this record