5 research outputs found

    AUTOMATIC DETECTION OF NYSTAGMUS IN BEDSIDE VOG RECORDINGS FROM PATIENTS WITH VERTIGO

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    Benign Paroxysmal Positional Vertigo (BPPV) is the most common cause of vertigo. It can be diagnosed and treated using simple maneuvers done by vestibular experts. However, patients with this condition presenting to the emergency department have high chance of being misdiagnosed. Such high rate of misdiagnosis results in significant morbidity to the patient and also incurs huge medical costs from unnecessary neuroimaging tests. Hence, automatic medical diagnosis is the next step to aid ED practitioners to reduce diagnostic errors. However, current software employed for this diagnosis has been found to have very low specificity. This can be attributed to factors such as low sampling frequency of recording device and the fact that bedside recordings from patients are susceptible to noise and artifacts. This study aims to improve methods for automatic quantification of nystagmus, a key sign of BPPV. Testing the current method using eye movement data recorded in patients during the diagnostic maneuver yielded better results than the commercial software

    Neuroinformatics in Functional Neuroimaging

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    This Ph.D. thesis proposes methods for information retrieval in functional neuroimaging through automatic computerized authority identification, and searching and cleaning in a neuroscience database. Authorities are found through cocitation analysis of the citation pattern among scientific articles. Based on data from a single scientific journal it is shown that multivariate analyses are able to determine group structure that is interpretable as particular “known ” subgroups in functional neuroimaging. Methods for text analysis are suggested that use a combination of content and links, in the form of the terms in scientific documents and scientific citations, respectively. These included context sensitive author ranking and automatic labeling of axes and groups in connection with multivariate analyses of link data. Talairach foci from the BrainMap ™ database are modeled with conditional probability density models useful for exploratory functional volumes modeling. A further application is shown with conditional outlier detection where abnormal entries in the BrainMap ™ database are spotted using kernel density modeling and the redundancy between anatomical labels and spatial Talairach coordinates. This represents a combination of simple term and spatial modeling. The specific outliers that were found in the BrainMap ™ database constituted among others: Entry errors, errors in the article and unusual terminology

    Aerospace medicine and biology: A cumulative index to a continuing bibliography (supplement 384)

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    This publication is a cumulative index to the abstracts contained in Supplements 372 through 383 of Aerospace Medicine and Biology: A Continuing Bibliography. It includes seven indexes: subject, personal author, corporate source, foreign technology, contract number, report number, and accession number

    Proceedings of the 2nd European conference on disability, virtual reality and associated technologies (ECDVRAT 1998)

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    The proceedings of the conferenc
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