Calculation of bone Disease using Image Processing

Authors

  • Dr. M. Yuvaraju  Electrical & Electronics Engineering, Anna University Regional Campus, Coimbatore, India
  • R. Haripriya  Electrical & Electronics Engineering, Anna University Regional Campus, Coimbatore, India

Keywords:

GRF, Ossein Length, Kinematic Analysis, Osseous

Abstract

The designed system used to measure the bony fracture by using image processing and it also detects the bone tumor of the person. Every human has a variousossein length so by applying imageprocessing it also give the length of the bony. The bony tumor is not a cancer it just form like a tissue formed over the osseous matter it reduce the bony strength. It very useful in real time.This mainly contribute about the bone density and it also checkoutwhat are all the causes for bone weakness. It also gives the 3 dimensional view of the density distribution in the human body. And it gives the visage like height, weight of the human. The system contributes on estimation of lower limb kinematic analysis. It finds the GRF between the human body and ground

References

[1] Elyse Passmore, Morgan Sangeux,“Improving repeatability of setting volume origin and coordinate system for 3D gait analysis,” Gait & Posture, vol. 39, pp. 831-833, 2014.
[2] L. Tesio, V. Rota, C. Chessa, and L. Perucca, “The 3-D path of body center of mass during adult human walking on force treadmill,J. Biomechan., vol. 43, no. 5,
[3] Arnaud Faivre, Marc Dahan, Bernard Parratte, GuyMonnier, “Instrumented shoes for pathological gait assessment,” Mechanics Research Communications, vol. 31, pp. 627-632, 200[4] S.S. Galen, C.J. Clarke, D.B. Allan, B.A. Conway, “A portable gait assessment tool to record temporal gait parameters in SCI,” Medical Engineering & Physics, vol. 33, pp. 626-632, 2011.
[4] Ruth E. Mayagoitia, Anand V. Nene, Peter H. Veltink, “Accelerometer and rate gyroscope measurement of kinematics: an inexpensive alternative to optical motion analysis systems,” Journal of Biomechanics, vol. 35, pp. 537-542, 2002.
[5] E.C. Wentink, S.I. Beijen, H.J. Hermens, J.S. Rietman, using EMG and kinematic P.H. Veltink, “Intention detection of gait initiation data,” Gait & Posture, vol. 37, pp. 223-228, 2013.
[6] F.J. Lopez-Sanroman, R. Holmbak-Petersen, I. Santiago, I.A. Gomez de Segura , E. Barrey, “Gait analysis using 3D accelerometry in horses sedated with xylazine,” The Veterinary Journal, vol. 193, pp. 212-216, 2012.
[7] Jan Rueterbories, Erika G. Spaich, Ole K. Andersen, “Characterization of gait pattern by 3D angular accelerations in hemiparetic and healthy gait,” Gait & Posture, vol. 37, pp. 183-189, 2013.
[8] Cola G., Avvenuti M., Vecchio A., etc., “An On- Node Processing Approach for Anomaly Detection in Gait,” IEEE Sensors Journal, vol. 15, pp. 6640-6649, Aug. 2015.
[9] T. Liu, Y. Inoue, K. Shibata, K. Shiojima, M.M. Han, “Triaxial joint moment estimation using a wearable three-dimensional gait analysis system,” Measurement, vol. 47, pp. 125-129, 2014.
[10] Jingyuan Cheng, Amft O., Bahle G., Luckowicz P., “Designing Sensitive Wearable Capacitive Sensors for Activity Recognition,” IEEE Sensors Journal, vol. 13, pp. 3935-3947, April 2013.
[11] Orengo G., Lagati A., Saggio G., “Modeling Wearable Bend Sensor Behavior for Human Motion Capture,” IEEE Sensors Journal, vol. 14, pp. 2307-2316, March 2014.
[12] Tao Liu, Yoshio Inoue, Kyoko Shibata, “A wearable force plate system for the continuous measurement of triaxial ground reaction force in biomechanical applications,” Measurement Science and Technology, vol. 21, no. 8, pp. 085804, 2010.
[13] Tao Liu, Yoshio Inoue, Kyoko Shibata, K. Shiojima, “A mobile force plate and three-dimensional motion analysis system for three-dimensional gait assessment,” IEEE Sensors Journal, Vol.12, No. 5, pp. 1461-1467, May 2012.
[14] Guangyi Li, Tao Liu, LinyiGu, Yoshio Inoue, HaojieNing, and Meimei Han, “Wearable gait analysis system for ambulatory measurement of kinematics and kinetics,” in Proc. 2014 IEEE Sensors, Valencia, Spain, 2014, pp. 1316-1319.
[15] Nikhil Raveendranathan, Stefano Galzarano, VitaliLoseu, etc., “From Modeling to Implementation of Virtual Sensors in Body SensorĀ  Networks,” IEEE Sensors Journal, vol. 12, no. 3, pp. 583-593, March 2012.
[16] Zhou H, Stone T, Hu H, Harris N, “Use of multiple wearable inertial sensors in upper limb motion tracking,” MedEngPhys, vol. 30, pp. 123-133, 2008.
[17] Amini N, Sarrafzadeh M, Vahdatpour A, Xu W, “Accelerometer-based on-body sensor localization for health and medical monitoring applications,” Pervasive Mobile Comput, vol. 7, no. 6, pp. 746-760, 2011.

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Published

2018-04-14

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Section

Research Articles

How to Cite

[1]
Dr. M. Yuvaraju, R. Haripriya, " Calculation of bone Disease using Image Processing, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 5, pp.88-97, March-April-2018.