Yıl 2015,
Cilt: 1 Sayı: 1, 58 - 65, 08.01.2016
Öz
Yürüme analizi ile ilgili gelişmeler, bazı hastalıkların özelliklede nörodejeneratif hastalıkların teşhisinde yürüme analizinin yardımcı bir faktör olarak yer almasını sağlamıştır. Ayağın altındaki kuvvete duyarlı sensörler yardımı ile kontrol bireylerinden ve nörodejeneratif hastalardan yürüme işaretleri alınmıştır. Bu işaretlere zaman-frekans analizi uygulanarak hastalıklı işaretlerin normal işaretlerden farkları ortaya çıkarılmıştır. Daha sonra Yapay Sinir Ağları (YSA) ile yapılan sınıflandırmada patolojik işaretler %82 doğrulukla tespit edilmiştir.
Anahtar Kelimeler
Kaynakça
- O. Akgun, H. Demir, A. Akan; Yürüme İşaretlerinin AR Modelleri ile ALS Hastalığının Belirlenmesi, ELECO-Elektrik Elektronik ve Bilgisayar Mühendisliği Sempozyumu, 26-30 Kasım 2008, Bursa-Turkiye.
- Yalçın S ve Özaras N, Yürüme Analizi, Avrupa Matbaacılık, İstanbul, 2001.
- Kirtley C., Clinical Gait Analysis: Theory and Practice, Churchill Livingstone, Oxford, 2006.
- Whittle M. W., Gait Analysis: An Introduction, Butterworth-Heinemann, Oxford, 2007.
- Hausdorff JM, Mitchell SL, Firtion R, Peng CK, Cudkowicz ME, Wei JY and Goldberger AL, “Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington's disease”, J. Applied Physiology, 82:262-269, 1997.
- Hausdorff JM, Lertratanakul A, Cudkowicz ME, Peterson AL, Kaliton D and Goldberger AL, “Dynamic markers of altered gait rhythm in amyotrophic lateral sclerosis” J. Applied Physiology, 88:2045-2053, 2000.
- Beal M. F., Lang A. E., and Ludolph A. C., Neurodegenerative Diseases: Neurobiology, Pathogenesis and Therapeutics, Cambridge University Pres, Cambridge, 2005.
- Goldberger AL, Amaral LA, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE., Circulation, PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals, 2000; 101: e215-e220, doi: 10.1161/01.CIR.101.23.e215.
- Bigan, C.; Woolfson, W.S.; Time-frequency analysis of short segments of biomedical data, Science, Measurement and Technology, IEE Proceedings -Volume 147, Issue 6, Nov. 2000 Page(s):368 – 373.
- Hannaford, Blake; Lehman, Steven; Short Time Fourier Analysis of the Electromyogram: Fast Movements and Constant Contraction, Biomedical Engineering, IEEE Transactions onVol. BME-33, No.12, Dec. 1986, pp.1173 – 1181.
- Boulgouris, N.V.; Hatzinakos, D.; Plataniotis, K.N.; Gait recognition: a challenging signal processing technology for biometric identification, Signal Processing Magazine, IEEE, Volume 22, Issue 6, Nov. 2005 Page(s):78 – 90.
- Akay, M.,Biomedical Signal Processing, Academic Pres, St. Louis,1994.
- N. Chaudhary, Y. Aggarwal, R.K. Sinha; Artificial Neural Network based Classification of Neuradegenerative Diseases, Advances in Biomedical Engineering Research (ABER), Vol.1, Issue.1, March 2013, pp.1-8.
Yıl 2015,
Cilt: 1 Sayı: 1, 58 - 65, 08.01.2016
Öz
Kaynakça
- O. Akgun, H. Demir, A. Akan; Yürüme İşaretlerinin AR Modelleri ile ALS Hastalığının Belirlenmesi, ELECO-Elektrik Elektronik ve Bilgisayar Mühendisliği Sempozyumu, 26-30 Kasım 2008, Bursa-Turkiye.
- Yalçın S ve Özaras N, Yürüme Analizi, Avrupa Matbaacılık, İstanbul, 2001.
- Kirtley C., Clinical Gait Analysis: Theory and Practice, Churchill Livingstone, Oxford, 2006.
- Whittle M. W., Gait Analysis: An Introduction, Butterworth-Heinemann, Oxford, 2007.
- Hausdorff JM, Mitchell SL, Firtion R, Peng CK, Cudkowicz ME, Wei JY and Goldberger AL, “Altered fractal dynamics of gait: reduced stride-interval correlations with aging and Huntington's disease”, J. Applied Physiology, 82:262-269, 1997.
- Hausdorff JM, Lertratanakul A, Cudkowicz ME, Peterson AL, Kaliton D and Goldberger AL, “Dynamic markers of altered gait rhythm in amyotrophic lateral sclerosis” J. Applied Physiology, 88:2045-2053, 2000.
- Beal M. F., Lang A. E., and Ludolph A. C., Neurodegenerative Diseases: Neurobiology, Pathogenesis and Therapeutics, Cambridge University Pres, Cambridge, 2005.
- Goldberger AL, Amaral LA, Glass L, Hausdorff JM, Ivanov PC, Mark RG, Mietus JE, Moody GB, Peng CK, Stanley HE., Circulation, PhysioBank, PhysioToolkit, and PhysioNet: components of a new research resource for complex physiologic signals, 2000; 101: e215-e220, doi: 10.1161/01.CIR.101.23.e215.
- Bigan, C.; Woolfson, W.S.; Time-frequency analysis of short segments of biomedical data, Science, Measurement and Technology, IEE Proceedings -Volume 147, Issue 6, Nov. 2000 Page(s):368 – 373.
- Hannaford, Blake; Lehman, Steven; Short Time Fourier Analysis of the Electromyogram: Fast Movements and Constant Contraction, Biomedical Engineering, IEEE Transactions onVol. BME-33, No.12, Dec. 1986, pp.1173 – 1181.
- Boulgouris, N.V.; Hatzinakos, D.; Plataniotis, K.N.; Gait recognition: a challenging signal processing technology for biometric identification, Signal Processing Magazine, IEEE, Volume 22, Issue 6, Nov. 2005 Page(s):78 – 90.
- Akay, M.,Biomedical Signal Processing, Academic Pres, St. Louis,1994.
- N. Chaudhary, Y. Aggarwal, R.K. Sinha; Artificial Neural Network based Classification of Neuradegenerative Diseases, Advances in Biomedical Engineering Research (ABER), Vol.1, Issue.1, March 2013, pp.1-8.
Toplam 13 adet kaynakça vardır.
Ayrıntılar
| Birincil Dil | Türkçe |
|---|---|
| Bölüm | Makaleler |
| Yazarlar | |
| Yayımlanma Tarihi | 8 Ocak 2016 |
| Yayımlandığı Sayı | Yıl 2015 Cilt: 1 Sayı: 1 |
