3,350 research outputs found

    Automatic Response Assessment in Regions of Language Cortex in Epilepsy Patients Using ECoG-based Functional Mapping and Machine Learning

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    Accurate localization of brain regions responsible for language and cognitive functions in Epilepsy patients should be carefully determined prior to surgery. Electrocorticography (ECoG)-based Real Time Functional Mapping (RTFM) has been shown to be a safer alternative to the electrical cortical stimulation mapping (ESM), which is currently the clinical/gold standard. Conventional methods for analyzing RTFM signals are based on statistical comparison of signal power at certain frequency bands. Compared to gold standard (ESM), they have limited accuracies when assessing channel responses. In this study, we address the accuracy limitation of the current RTFM signal estimation methods by analyzing the full frequency spectrum of the signal and replacing signal power estimation methods with machine learning algorithms, specifically random forest (RF), as a proof of concept. We train RF with power spectral density of the time-series RTFM signal in supervised learning framework where ground truth labels are obtained from the ESM. Results obtained from RTFM of six adult patients in a strictly controlled experimental setup reveal the state of the art detection accuracy of ≈78%\approx 78\% for the language comprehension task, an improvement of 23%23\% over the conventional RTFM estimation method. To the best of our knowledge, this is the first study exploring the use of machine learning approaches for determining RTFM signal characteristics, and using the whole-frequency band for better region localization. Our results demonstrate the feasibility of machine learning based RTFM signal analysis method over the full spectrum to be a clinical routine in the near future.Comment: This paper will appear in the Proceedings of IEEE International Conference on Systems, Man and Cybernetics (SMC) 201

    Fundus changes in AIDS

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    A IDS is a devastating disease that affects 28,000 people in the United States and has claimed over 16,000 lives. More than 270,000 persons are expected to contract the syndrome by 1991. Most AIDS patients are male homosexuals, intravenous drug users, of Haitian descent, or hemophiliacs. The causative agent in AIDS is the retrovirus HTLV-III/LAV. Infection with the AIDS virus causes a major collapse of the T-cell arm of the immune system, rendering the host vulnerable to a multitude of opportunistic infections and neoplasms. The most common fundus change observed in AIDS is cotton-wool spots. Cytomegalovirus (CMV) retinitis is the most damaging ocular finding since it may lead to total retinal atrophy. Retinal hemorrhages, Roth spots, and periphlebitis are manifestations of microvascular alterations that occur in AIDS. Opportunistic infections by Toxoplasma sp. and Mycobacterium sp. may also be manifest

    Robot Electronics Architecture

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    An electronics architecture has been developed to enable the rapid construction and testing of prototypes of robotic systems. This architecture is designed to be a research vehicle of great stability, reliability, and versatility. A system according to this architecture can easily be reconfigured (including expanded or contracted) to satisfy a variety of needs with respect to input, output, processing of data, sensing, actuation, and power. The architecture affords a variety of expandable input/output options that enable ready integration of instruments, actuators, sensors, and other devices as independent modular units. The separation of different electrical functions onto independent circuit boards facilitates the development of corresponding simple and modular software interfaces. As a result, both hardware and software can be made to expand or contract in modular fashion while expending a minimum of time and effort
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