ICTACT Journal on Image and Video Processing

Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Design and Development of Vibroarthogram Screening Device and Assessment of Joint Motion in the Pursuit of Signal Processing


Affiliations
1 Department of Electronics and Communication Engineering, Muthayammal Engineering College, India
2 Department of Computer Science Engineering, Muthayammal Engineering College, India
     

   Subscribe/Renew Journal


Abnormal conditions in the knee joint are factors to lead changes in the vibroarthro graphic signal which represents the sound or vibration emitted from the joint during flexion or extension with suitable instrumentation these signals are to be acquired and also converted into digital signal. Signals are amplitude limited, distorted limited length and non-stationary in nature. The vibroarthro graphic system is unknown, modeling of vibroarthro graphic signal are essential to explore physiological behavior. Biosignal Processing and Pattern classification techniques have been applied to vibroarthro graphic signals to derive features that characterize the state of articular cartilage surface and assist in non-invasive detection of knee joint pathology. Screening of knee joint abnormal condition using vibroarthro graphic signals could reduce the need for diagnostic surgery. Diagnostic surgeries are invasive techniques and could deteriorate joints as well. In the first part of the work suitable instrumentation setup is designed and developed. Subsequent second part of work is extended to model vibroarthro graphic signal and algorithms are used to assess joint motion in the pursuit of signal processing.

Keywords

Instrumentation Amplifier, EMG Signal, Vibroarthrogram, Modeling, Signal Processing.
Subscription Login to verify subscription
User
Notifications
Font Size

  • World Health Organization, “Chronic Diseases and Health Promotion”. Available at: https://www.who.int/chp/topics/rheumatic/en/, Accessed at 2005.

  • M. Frederic, C.O. William and W.G. Claire, “Fundamentals of Anatomy and Physiology”, San Francisco Benjamin Cummings, 2012.

  • J. Oliver, “The Knee Joint”. Available at: https://teachmeanatomy.info/lower-limb/joints/knee-joint/, Accessed at 2019.

  • R.M. Rangayyan, “Biomedical Signal Analysis-A Case Study Approach”, John Wiley and Sons, 2003.

  • R.M. Rangayyan and W. Yunfeng, “Analysis of Vibroarthrographic Signals with Features Related to Signal Variability Radial- Basis Functions”, Annals of Biomedical Engineering, Vol. 37, No. 1, pp. 156-163, 2009.

  • R.M. Rangayyan, O. Faraz, W. Yunfeng and C. Suxian. “Fractal Analysis of Knee-Joint Vibroarthrographic Signals via Power Spectral Analysis”, Biomedical Signal Processing and Control, Vol. 8, pp.23-29, 2013.

  • S. Krishnan, R. M. Rangayyan, G. D. Bell, C. B. Frank and K. O. Ladly, “Adaptive Filtering, Modelling and Classification of Knee Joint Vibroarthrographic Signals for Non-Invasive Diagnosis of Articular Cartilage Pathology”, Medical and Biological Engineering and Computing, Vol. 35, pp. 677-684, 1997.

  • S.D. Nalband and A.A. Prince, “Analysis and Classification of Vibroarthographic Signal Using Nonstationary Signal Processing Techniques”, Proceedings of International Conference on Signal Processing and Integrated Networks, pp. 1-9, 2008.

  • Skripelectroincs, “Skrip House of Medical Electronics and Instruments”, Available at: https://www.skripelectronics.com/, Accessed at 2019.

  • J.F. Reynolds, “Shoulder Joint and Muscle Exposure in Violin Musicians: A Three Dimensional Kinematic and Electromyographic Exposure Variation Analysis”, Master Thesis, Department of Computer Science, University of Minnesota, pp. 1-229, 2009.

  • B. Dawid, E. Majorczyk and K. Krzysztof, “Age-Related Impairment of Quality of Joint Motion in Vibroarthrographic Signal Analysis”, Bio Med Research, Vol. 2015, pp. 1-7, 2015.

  • S. Cai, S. Yang, F. Zheng, M. Lu, Y. Wu and S. Krishnan, “Knee Joint Vibration Signal Analysis with Matching Pursuit Decomposition and Dynamic Weighted Classifier Fusion”, Computational and Mathematical Methods in Medicine, Vol. 2013, pp. 1-11, 2013.

  • W. Yunfeng, “Knee Joint Vibroarthrographic Signal Processing and Analysis”, Proceedings of International Conference on Bioengineering, pp. 1-13, 2015.

  • C. N. Teague, “Novel Methods for Sensing Acoustical Emissions From the Knee for Wearable Joint Health Assessment”, IEEE Transactions on Biomedical Engineering, Vol. 63, No. 8, pp. 1581-1590, 2016.


Abstract Views: 164

PDF Views: 1




  • Design and Development of Vibroarthogram Screening Device and Assessment of Joint Motion in the Pursuit of Signal Processing

Abstract Views: 164  |  PDF Views: 1

Authors

R. Praveena
Department of Electronics and Communication Engineering, Muthayammal Engineering College, India
D. K. Ravish
Department of Electronics and Communication Engineering, Muthayammal Engineering College, India
T. R. Ganesh Babu
Department of Electronics and Communication Engineering, Muthayammal Engineering College, India
J. Preetha
Department of Computer Science Engineering, Muthayammal Engineering College, India

Abstract


Abnormal conditions in the knee joint are factors to lead changes in the vibroarthro graphic signal which represents the sound or vibration emitted from the joint during flexion or extension with suitable instrumentation these signals are to be acquired and also converted into digital signal. Signals are amplitude limited, distorted limited length and non-stationary in nature. The vibroarthro graphic system is unknown, modeling of vibroarthro graphic signal are essential to explore physiological behavior. Biosignal Processing and Pattern classification techniques have been applied to vibroarthro graphic signals to derive features that characterize the state of articular cartilage surface and assist in non-invasive detection of knee joint pathology. Screening of knee joint abnormal condition using vibroarthro graphic signals could reduce the need for diagnostic surgery. Diagnostic surgeries are invasive techniques and could deteriorate joints as well. In the first part of the work suitable instrumentation setup is designed and developed. Subsequent second part of work is extended to model vibroarthro graphic signal and algorithms are used to assess joint motion in the pursuit of signal processing.

Keywords


Instrumentation Amplifier, EMG Signal, Vibroarthrogram, Modeling, Signal Processing.

References