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  4. A Survey on Vibration and Sound Analysis for Disease Detection of Knee and Hip Joints
 
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2019
Conference Paper
Title

A Survey on Vibration and Sound Analysis for Disease Detection of Knee and Hip Joints

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.
Author(s)
Kraft, Dimitri  
Univ. Rostock
Knaack, Franziska
Univ. Medicine Rostock
Bader, Rainer
Univ. Medicine Rostock
Portwich, Rene
vital&physio GmbH Rostock
Eichstaedt, Peter
E+S Gesundheit GmbH Hamburg
Bieber, Gerald  
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Mainwork
iWOAR 2019, 6th international Workshop on Sensor-based Activity Recognition and Interaction. Proceedings  
Conference
International Workshop on Sensor-based Activity Recognition and Interaction (iWOAR) 2019  
DOI
10.1145/3361684.3361686
Language
English
Fraunhofer-Institut für Graphische Datenverarbeitung IGD  
Keyword(s)
  • acceleration sensors

  • mobile assistance

  • pattern recognition

  • accelerometer

  • Lead Topic: Individual Health

  • Research Line: Human computer interaction (HCI)

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