PMID- 16136650
OWN - NLM
STAT- MEDLINE
DCOM- 20051202
LR  - 20191210
IS  - 0010-4825 (Print)
IS  - 0010-4825 (Linking)
VI  - 35
IP  - 5
DP  - 2005 Jun
TI  - Determining variability of ophthalmic arterial Doppler signals using Lyapunov 
      exponents.
PG  - 405-420
AB  - The new method presented in this study was directly based on the consideration 
      that ophthalmic arterial Doppler signals are chaotic signals. This consideration 
      was tested successfully using the nonlinear dynamics tools, like the computation 
      of Lyapunov exponents. Multilayer perceptron neural network (MLPNN) architecture 
      was formulated and used as a basis for determining variabilities such as 
      stenosis, ocular Behcet disease, and uveitis disease in the physical state of 
      ophthalmic arterial Doppler signals. The computed Lyapunov exponents of the 
      ophthalmic arterial Doppler signals were used as inputs of the MLPNN. Receiver 
      operating characteristic (ROC) curve was used to assess the performance of the 
      detection process. The ophthalmic arterial Doppler signals were classified with 
      the accuracy varying from 93.75% to 97.06%. The results confirmed that the 
      proposed MLPNN trained with Levenberg-Marquardt algorithm has potential in 
      detecting stenosis, Behcet disease and uveitis disease in ophthalmic arteries.
FAU - Ubeyli, Elif Derya
AU  - Ubeyli ED
AD  - Department of Electronics and Computer Education, Faculty of Technical Education, 
      Gazi Univeresity, 06500 Teknikokullar, Ankara, Turkey.
FAU - Guler, Inan
AU  - Guler I
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
PL  - United States
TA  - Comput Biol Med
JT  - Computers in biology and medicine
JID - 1250250
SB  - IM
MH  - Adult
MH  - Aged
MH  - Algorithms
MH  - Behcet Syndrome/diagnosis/diagnostic imaging
MH  - Case-Control Studies
MH  - *Computer Simulation
MH  - Diagnosis, Computer-Assisted
MH  - Female
MH  - Humans
MH  - Male
MH  - Middle Aged
MH  - Models, Biological
MH  - Neural Networks, Computer
MH  - Nonlinear Dynamics
MH  - ROC Curve
MH  - Retinal Artery/*diagnostic imaging
MH  - Retinal Artery Occlusion/diagnosis/diagnostic imaging
MH  - Ultrasonography, Doppler
MH  - Uveitis/diagnosis/diagnostic imaging
EDAT- 2005/09/02 09:00
MHDA- 2005/12/13 09:00
CRDT- 2005/09/02 09:00
PHST- 2005/09/02 09:00 [pubmed]
PHST- 2005/12/13 09:00 [medline]
PHST- 2005/09/02 09:00 [entrez]
AID - S0010-4825(04)00045-9 [pii]
AID - 10.1016/j.compbiomed.2004.03.004 [doi]
PST - ppublish
SO  - Comput Biol Med. 2005 Jun;35(5):405-420. doi: 10.1016/j.compbiomed.2004.03.004.