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The Spectral and Statistical Analysis of Gait Dynamics in ALS Disease

Year 2020, Volume: 8 Issue: 2, 142 - 146, 30.04.2020
https://doi.org/10.17694/bajece.679926

Abstract

Amyotrophic lateral sclerosis (ALS) disease, also known as motor neuron disease, is a disease resulting from loss of motor nerve cells in the spinal cord and brain stem region at central nervous system. Researchers can’t find the reason of ALS for certain, however there are a wide variety of risk factors in respect of this disease. This disease has more than one risk factor. Researchers believe that it is resulted from a virus which leads to abnormality in immune system, spoils the structure of DNA and functioning of enzyme system, exhibiting neurotoxic properties. The signals coming to a single arm or leg muscle from upper and lower motor neurons are highly determinative in diagnosis of the disease, although there is not a specific test for diagnosing the ALS disease for certain. Doctors still conduct many tests even though the main symptoms of ALS are the signals coming to muscles. The developments related to gait analysis are used an auxiliary factor in diagnosis and analysis of ALS diseases. In this study, gait signals from control individuals and ALS diseases have been recorded by means of sensors sensitive to the strength under the foot. These signals’ time-amplitude, amplitude spectrum, phase spectrum, average value and variance changes have been analysed. As a result of these inspections, differences of ALS signals from control signals have been identified.

References

  • O. Akgun, H. Demir, A. Akan, , “Detection of ALS Disease Using AR Models of Gait Dynamics”, Electrical, Electronic and Computer Engineering Symposium (ELECO), 26-30 November 2008, Bursa Turkey.
  • J. Perry , Gait Analysis: Normal and Pathological Function, Slack Incorporated Thorofare, NJ, 1992.
  • S. Yalçın, N. Özaras , Gait Analysis, Avrupa Publications, Istanbul, 2001 (inTurkish).
  • M. Whittle , Gait Analysis: an introduction, Butterworth Heinemann, Oxford, 1993.
  • J.M. Hausdorff, S.L. Mitchell, R. Firtion, C.K. Peng, M.E. Cudkowicz, J.Y. Wei, A.L. Goldberger, “Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington's disease”, J. Applied Physiology, Vol. 82, 1997, pp.262-269.
  • J.M. Hausdorff, A. Lertratanakul, M.E. Cudkowicz, A.L. Peterson, D. Kaliton, A.L. Goldberger, “Dynamic markers of altered gait rhythm in amyotrophic lateral sclerosis” J. Applied Physiology, Vol. 88, 2000, pp.2045-2053.
  • J.R. Gage, “The clinical use of kinetics for the evaluation of pathological gait in ce-rebral palsy”, Instr Course Lect., Vol 44, 1995, pp.507-15.
  • F. Akdeniz, Probability and Statistics, Nobel Medical Publications, Istanbul, 2004.
  • T. Liu, Y. Inoue, K. Shibata, K. Shiojima, “Three-dimensional gait analysis system with mobile force plates and motion sensors”, Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on 2011, pp. 107-110.
  • S. Tallapragada, L.V.C. Srinivas, “Marker less view independent gait analysis using DFT” ,Electronics Computer Technology (ICECT), 2011 3rd International Conference on Vol. 3 , 2011 , pp. 11-13.
  • J.H. Yoo, M.S. Nixon, C.J. Harris, “Model-driven statistical analysis of human gait motion”, Image Processing. 2002. Proceedings. 2002 International Conference on Vol. 1, 2002, pp.285-288.
  • E. Onal, J. Dikun, “Short-Time Fourier Transform for Different Impulse Measurements”. Balkan Journal of Electrical & Computer Engineering, Vol.1, No.1, 2013, p.44-47.
  • [13] Y. Wu, S. Krishnan, “Statistical Analysis of Gait Rhythm in Patients With Parkinson's Disease”, Neural Systems and Rehabilitation Engineering, IEEE Transactions
Year 2020, Volume: 8 Issue: 2, 142 - 146, 30.04.2020
https://doi.org/10.17694/bajece.679926

Abstract

References

  • O. Akgun, H. Demir, A. Akan, , “Detection of ALS Disease Using AR Models of Gait Dynamics”, Electrical, Electronic and Computer Engineering Symposium (ELECO), 26-30 November 2008, Bursa Turkey.
  • J. Perry , Gait Analysis: Normal and Pathological Function, Slack Incorporated Thorofare, NJ, 1992.
  • S. Yalçın, N. Özaras , Gait Analysis, Avrupa Publications, Istanbul, 2001 (inTurkish).
  • M. Whittle , Gait Analysis: an introduction, Butterworth Heinemann, Oxford, 1993.
  • J.M. Hausdorff, S.L. Mitchell, R. Firtion, C.K. Peng, M.E. Cudkowicz, J.Y. Wei, A.L. Goldberger, “Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington's disease”, J. Applied Physiology, Vol. 82, 1997, pp.262-269.
  • J.M. Hausdorff, A. Lertratanakul, M.E. Cudkowicz, A.L. Peterson, D. Kaliton, A.L. Goldberger, “Dynamic markers of altered gait rhythm in amyotrophic lateral sclerosis” J. Applied Physiology, Vol. 88, 2000, pp.2045-2053.
  • J.R. Gage, “The clinical use of kinetics for the evaluation of pathological gait in ce-rebral palsy”, Instr Course Lect., Vol 44, 1995, pp.507-15.
  • F. Akdeniz, Probability and Statistics, Nobel Medical Publications, Istanbul, 2004.
  • T. Liu, Y. Inoue, K. Shibata, K. Shiojima, “Three-dimensional gait analysis system with mobile force plates and motion sensors”, Ubiquitous Robots and Ambient Intelligence (URAI), 2011 8th International Conference on 2011, pp. 107-110.
  • S. Tallapragada, L.V.C. Srinivas, “Marker less view independent gait analysis using DFT” ,Electronics Computer Technology (ICECT), 2011 3rd International Conference on Vol. 3 , 2011 , pp. 11-13.
  • J.H. Yoo, M.S. Nixon, C.J. Harris, “Model-driven statistical analysis of human gait motion”, Image Processing. 2002. Proceedings. 2002 International Conference on Vol. 1, 2002, pp.285-288.
  • E. Onal, J. Dikun, “Short-Time Fourier Transform for Different Impulse Measurements”. Balkan Journal of Electrical & Computer Engineering, Vol.1, No.1, 2013, p.44-47.
  • [13] Y. Wu, S. Krishnan, “Statistical Analysis of Gait Rhythm in Patients With Parkinson's Disease”, Neural Systems and Rehabilitation Engineering, IEEE Transactions
There are 13 citations in total.

Details

Primary Language English
Subjects Electrical Engineering
Journal Section Araştırma Articlessi
Authors

Ömer Akgün 0000-0003-3486-2197

Aydın Akan 0000-0001-8894-5794

Ozgur Yılmaz 0000-0002-1122-4558

Publication Date April 30, 2020
Published in Issue Year 2020 Volume: 8 Issue: 2

Cite

APA Akgün, Ö., Akan, A., & Yılmaz, O. (2020). The Spectral and Statistical Analysis of Gait Dynamics in ALS Disease. Balkan Journal of Electrical and Computer Engineering, 8(2), 142-146. https://doi.org/10.17694/bajece.679926

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