The Experts below are selected from a list of 3138 Experts worldwide ranked by ideXlab platform
Stephen W Parker - One of the best experts on this subject based on the ideXlab platform.
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vestibular evaluation Electronystagmography rotational testing and posturography
Clinical Eeg and Neuroscience, 1993Co-Authors: Stephen W ParkerAbstract:This report describes a battery of tests that is utilized by several clinical laboratories to investigate vestibular and balance function. The electronystagmogram evaluates eye movements, inner ear function, brainstem function and cerebellar function. Sinusoidal vertical axis rotation is a sensitive measure of horizontal semicircular canal function that is often complimentary to the caloric stimulation portion of the electronystagmogram. Visual-vestibular interaction rotation testing is designed to evaluate brainstem, cerebellar and oculomotor function. Dynamic posturography facilitates measurement of standing balance and permits a quantification of the role of proprioception, vision and the vestibular system in the maintenance of standing balance.
Devin L. Mccaslin - One of the best experts on this subject based on the ideXlab platform.
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Electronystagmography and Videonystagmography(ENG/VNG): E-Book
2016Co-Authors: Devin L. MccaslinAbstract:Electronystagmography and Videonystagmography(ENG/VNG): E-Book , Electronystagmography and Videonystagmography(ENG/VNG): E-Book , کتابخانه دیجیتال جندی شاپور اهواز
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Electronystagmography and videonystagmography eng vng e book
2016Co-Authors: Devin L. MccaslinAbstract:Electronystagmography and Videonystagmography(ENG/VNG): E-Book , Electronystagmography and Videonystagmography(ENG/VNG): E-Book , کتابخانه دیجیتال جندی شاپور اهواز
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Detection of ophthalmic impairments indirectly with Electronystagmography.
Journal of the American Academy of Audiology, 2004Co-Authors: Gary P. Jacobson, Devin L. MccaslinAbstract:The objective was to develop, from a pool of clinical Electronystagmography (ENG) data, normal lower limits for the corneo-retinal potential (CRP). The CRP evaluated in the present study was derived as a byproduct of eye movement calibration with a computerized ENG system. The data set was collected from a cohort of patients without history of ophthalmic disease. This normative study was designed to develop upper and lower limits for the CRP recorded indirectly from ENG testing. Subjects were 107 consecutive patients (41 males, mean age 57 years). Subject age did not, but gender did affect significant changes in the CRP. Specifically women showed larger CRP values than men. Case studies are presented that support the contention that the dark-adapted CRP may be helpful in the identification of patients with ophthalmic diseases known to affect the CRP and, thus, augment information normally obtained in the course of the ENG examination.
Ewa Straszecka - One of the best experts on this subject based on the ideXlab platform.
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IEEE Conf. on Intelligent Systems (2) - The Application of Median Fuzzy Clustering and Robust Weighted Averaging for Electronystagmography Signal Processing
Advances in Intelligent Systems and Computing, 2015Co-Authors: Tomasz Pander, Robert Czabanski, Tomasz Przybyła, Ewa StraszeckaAbstract:The purpose of this paper is to present a robust approach to processing of Electronystagmography (ENG) signal which contain saccades. The accurate saccade detection and localization allows for recognition of the optokinetic nystagmus (OKN), which is regarded as one of the important phenomena to be evaluated by ophthalmologists. The robust ENG processing consists in robust filtering of the signal to suppress outliers, robust fuzzy clustering to determine the amplitude threshold level for automatic saccade detection and robust averaging of similar optokinetic nystagmus cycles to estimate the nystagmus parameters. The proposed method was tested using the artificial as well as the real signals. The results show the usefulness of the proposed solution in the process of the OKN modeling.
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the application of median fuzzy clustering and robust weighted averaging for Electronystagmography signal processing
IEEE Conf. on Intelligent Systems (2), 2015Co-Authors: Tomasz Pander, Robert Czabanski, Tomasz Przybyla, Ewa StraszeckaAbstract:The purpose of this paper is to present a robust approach to processing of Electronystagmography (ENG) signal which contain saccades. The accurate saccade detection and localization allows for recognition of the optokinetic nystagmus (OKN), which is regarded as one of the important phenomena to be evaluated by ophthalmologists. The robust ENG processing consists in robust filtering of the signal to suppress outliers, robust fuzzy clustering to determine the amplitude threshold level for automatic saccade detection and robust averaging of similar optokinetic nystagmus cycles to estimate the nystagmus parameters. The proposed method was tested using the artificial as well as the real signals. The results show the usefulness of the proposed solution in the process of the OKN modeling.
Robert W Baloh - One of the best experts on this subject based on the ideXlab platform.
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sudden deafness with vertigo as a sole manifestation of anterior inferior cerebellar artery infarction
Journal of the Neurological Sciences, 2004Co-Authors: Robert W BalohAbstract:Abstract Sudden deafness without associated neurological symptoms and signs is typically attributed to a viral inflammation of the labyrinth. Although sudden deafness occurs with anterior inferior cerebellar artery (AICA) infarction, the deafness is usually associated with other brainstem or cerebellum signs such as crossed sensory loss, lateral gaze palsy, facial palsy, Horner syndrome or cerebellar dysmetria. An 84-year-old woman suddenly developed right-sided tinnitus, hearing loss, vertigo and vomiting. Audiometry and Electronystagmography documented absent auditory and vestibular function on the right side. T2-weighted and diffusion-weighted MRI showed a tiny infarct in the right lateral inferior pontine tegmentum. AICA occlusion can cause sudden deafness and vertigo without brainstem or cerebellar signs.
Tomasz Pander - One of the best experts on this subject based on the ideXlab platform.
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IEEE Conf. on Intelligent Systems (2) - The Application of Median Fuzzy Clustering and Robust Weighted Averaging for Electronystagmography Signal Processing
Advances in Intelligent Systems and Computing, 2015Co-Authors: Tomasz Pander, Robert Czabanski, Tomasz Przybyła, Ewa StraszeckaAbstract:The purpose of this paper is to present a robust approach to processing of Electronystagmography (ENG) signal which contain saccades. The accurate saccade detection and localization allows for recognition of the optokinetic nystagmus (OKN), which is regarded as one of the important phenomena to be evaluated by ophthalmologists. The robust ENG processing consists in robust filtering of the signal to suppress outliers, robust fuzzy clustering to determine the amplitude threshold level for automatic saccade detection and robust averaging of similar optokinetic nystagmus cycles to estimate the nystagmus parameters. The proposed method was tested using the artificial as well as the real signals. The results show the usefulness of the proposed solution in the process of the OKN modeling.
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the application of median fuzzy clustering and robust weighted averaging for Electronystagmography signal processing
IEEE Conf. on Intelligent Systems (2), 2015Co-Authors: Tomasz Pander, Robert Czabanski, Tomasz Przybyla, Ewa StraszeckaAbstract:The purpose of this paper is to present a robust approach to processing of Electronystagmography (ENG) signal which contain saccades. The accurate saccade detection and localization allows for recognition of the optokinetic nystagmus (OKN), which is regarded as one of the important phenomena to be evaluated by ophthalmologists. The robust ENG processing consists in robust filtering of the signal to suppress outliers, robust fuzzy clustering to determine the amplitude threshold level for automatic saccade detection and robust averaging of similar optokinetic nystagmus cycles to estimate the nystagmus parameters. The proposed method was tested using the artificial as well as the real signals. The results show the usefulness of the proposed solution in the process of the OKN modeling.
