research-article

A survey on vibration and sound analysis for disease detection of knee and hip joints

Authors:

Franziska Knaack,

Peter Eichstaedt,

Gerald BieberAuthors Info & Claims

iWOAR '19: Proceedings of the 6th International Workshop on Sensor-based Activity Recognition and Interaction

Article No.: 2, Pages 1 - 9

https://doi.org/10.1145/3361684.3361686

Published: 06 January 2020 Publication History

Abstract

The knee is the largest joint in the human body. Unfortunately, some hips or knee joints suffer on inflammation, misalignment, degeneration, trauma as well as diseases like arthritis or osteoporosis. Modern medicine can measure the joint condition or, if the joint is worn out, even exchange the joint with an implant. Endoprosthetic implants are artificial devices that replaces a weak body part such as osteoarthritic knee or hip joints. The lifespan of joint endoprostheses are also limited and depend on several factors, and it varies for each patient. In most cases total knee or hip endoprostheses need to be replaced after approximately 15 to 20 years, but some implants need an exchange after a few years due to several causes. Current methods to examine the condition of joint endoprostheses and natural joints are X-ray, Computed tomography (CT) and Magnetic Resonance Imaging (MRI). In rare cases implant integrated sensors were used. The usage of these methods and the analysis of the assessed data require medical and data experts. However, a vague estimation of the joint condition can also be performed by external vibration and sound analysis of the endoprosthesis and natural joint during movements. This paper describes several approaches of external vibration and sound analysis as a survey.

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Cited By

Spain LCheneler D(2021)Acoustic Monitoring of Joint HealthData Acquisition - Recent Advances and Applications in Biomedical Engineering10.5772/intechopen.92868Online publication date: 17-Mar-2021
https://doi.org/10.5772/intechopen.92868
Huang YWu K(2020)Vibration-based pervasive computing and intelligent sensingCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-020-00049-92:4(219-239)Online publication date: 6-Nov-2020
https://doi.org/10.1007/s42486-020-00049-9

Index Terms

A survey on vibration and sound analysis for disease detection of knee and hip joints
1. Human-centered computing
  1. Ubiquitous and mobile computing

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cover image ACM Other conferences

iWOAR '19: Proceedings of the 6th International Workshop on Sensor-based Activity Recognition and Interaction

September 2019

76 pages

ISBN:9781450377140

DOI:10.1145/3361684

Conference Chairs:
Thomas Kirste
University of Rostock, GER
,
Mario Aehnelt
Fraunhofer IGD, GER

Copyright © 2019 ACM.

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Published: 06 January 2020

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iWOAR '19

iWOAR '19: 6th international Workshop on Sensor-based Activity Recognition and Interaction

September 16 - 17, 2019

Rostock, Germany

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iWOAR '19 Paper Acceptance Rate 10 of 11 submissions, 91%;

Overall Acceptance Rate 46 of 73 submissions, 63%

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Cited By

Spain LCheneler D(2021)Acoustic Monitoring of Joint HealthData Acquisition - Recent Advances and Applications in Biomedical Engineering10.5772/intechopen.92868Online publication date: 17-Mar-2021
https://doi.org/10.5772/intechopen.92868
Huang YWu K(2020)Vibration-based pervasive computing and intelligent sensingCCF Transactions on Pervasive Computing and Interaction10.1007/s42486-020-00049-92:4(219-239)Online publication date: 6-Nov-2020
https://doi.org/10.1007/s42486-020-00049-9

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