Araştırma Makalesi

IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS

Cilt: 10 Sayı: 1 1 Haziran 2020
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EN

IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS

Öz

Parkinson's is a neurodegenerative disease that, as in the case of other neurodegenerative diseases, has disruptive effects on human mobility. In this study, gait markers were obtained by using sensors under the foot, giving an output proportional to the force. Normal gait markers were compared with those of Parkinson’s patients. Thus, individuals with Parkinson's were identified by comparing the impulse model of gait markers obtained from normal individuals with those of Parkinson's patients.

Anahtar Kelimeler

Kaynakça

  1. [1] Beal, M.F., Lang, A.E., Ludolph, A.C., Neurodegenerative Diseases: Neurobiology, Pathogenesis and Therapeutics, Cambridge University Pres, . London, UK, 2005.
  2. [2] Galimberti, D., Scarpini, E., Neurodegenerative Diseases: Clinical Aspects, Molecular Genetics and Biomarkers, Springer London, 2014.
  3. [3] Yalcın S., Ozaras N., Gait Analysis, Avrupa Publications, Istanbul, 2001 (inTurkish).
  4. [4] Whittle, M.W., Gait Analysis: An Introduction, Butterworth-Heinemann, Waltham, 2007.
  5. [5] Gabel, M. , Gilad-Bachrach, R., Renshaw, E., Schuster, A. (2012), Full Body Gait Analysis with Kinect, Engineering in Medicine and Biology Society (EMBC), Annual International Conference of the IEEE, San Diego, CA
  6. [6] Hausdorff, J.M., Mitchell, S.L., Firtion, R., Peng, C.K., Cudkowicz, M.E., Wei, J.Y., Goldberger. A.L. (1997). Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington's disease. J. Applied Physiology, 82, 262-269.
  7. [7] Hausdorff, J.M., Lertratanakul, A., Cudkowicz, M.E., Peterson, A.L., Kaliton, D., Goldberger, A.L. (2000). Dynamic markers of altered gait rhythm in amyotrophic lateral sclerosis. J. Applied Physiology, 88, 2045-2053.
  8. [8] Budzianowska, A, Honczarenko, K. (2008). Assessment of rest tremor in Parkinson’s disease, Polish J. Neurol. Neurosurg., 42, 12 -21 .

Ayrıntılar

Birincil Dil

İngilizce

Konular

Elektrik Mühendisliği

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

1 Haziran 2020

Gönderilme Tarihi

28 Ocak 2020

Kabul Tarihi

10 Mayıs 2020

Yayımlandığı Sayı

Yıl 2020 Cilt: 10 Sayı: 1

Kaynak Göster

APA
Akgün, Ö., & Akan, A. (2020). IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS. European Journal of Technique (EJT), 10(1), 153-159. https://doi.org/10.36222/ejt.681232
AMA
1.Akgün Ö, Akan A. IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS. EJT. 2020;10(1):153-159. doi:10.36222/ejt.681232
Chicago
Akgün, Ömer, ve Aydın Akan. 2020. “IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS”. European Journal of Technique (EJT) 10 (1): 153-59. https://doi.org/10.36222/ejt.681232.
EndNote
Akgün Ö, Akan A (01 Haziran 2020) IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS. European Journal of Technique (EJT) 10 1 153–159.
IEEE
[1]Ö. Akgün ve A. Akan, “IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS”, EJT, c. 10, sy 1, ss. 153–159, Haz. 2020, doi: 10.36222/ejt.681232.
ISNAD
Akgün, Ömer - Akan, Aydın. “IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS”. European Journal of Technique (EJT) 10/1 (01 Haziran 2020): 153-159. https://doi.org/10.36222/ejt.681232.
JAMA
1.Akgün Ö, Akan A. IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS. EJT. 2020;10:153–159.
MLA
Akgün, Ömer, ve Aydın Akan. “IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS”. European Journal of Technique (EJT), c. 10, sy 1, Haziran 2020, ss. 153-9, doi:10.36222/ejt.681232.
Vancouver
1.Ömer Akgün, Aydın Akan. IDENTIFICATION OF PARKINSON’S DISEASE BY AR MODELLING OF GAIT SIGNALS. EJT. 01 Haziran 2020;10(1):153-9. doi:10.36222/ejt.681232