Tuesday, April 26, 2011

Integrated algorithms identify invisible status in complicated embedded component

Biological systems have high level integrated components. Algorithms parameters have high potential for integration in two associated components with common domain propagation channels.
Invisible entities in complicated embedded environment cannot access by physicians. Integration algorithms in associated components with contribution of technology resource capabilities can provide facilities to allocate invisible entities in complicated environmental component.
Inner ear has complicated embedded environment in biological systems (Fig 1 inner ear). Generated invisible entities within inner ear environment require using Videonystagmography (VNG) in order to approach and analyze complexity parameters (Fig 2 VNG testing).
An inner ear fluid balance disorder cannot measure directly; therefore, VNG applies for testing inner ear functions. Test process indicates if patients have problems with inner ear (balance or dizziness problem).
VNG testing measures how well eyeballs respond to information from vestibular system. Infrared goggles are placed around eyes to record eye movements during testing. Eye must follow objects that jump from place to place, stand still, or move smoothly. Slowness or inaccuracies in patient ability to follow visual targets reveal and verify central or neurological issue.
The voluntary and involuntary movements of eyeballs in different head positions illustrate parameter algorithm for random instances, which associate with parameters algorithm within inner ear environment and brain. Parameter algorithm for random instances associates with movement of eyeballs and head positions. It reveals information about invisible status in complicated embedded component.

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