Publications by authors named "Gopalakrishna V"

The aim of this systematic review and meta-analysis was to comprehensively analyze the existing information on the prevalence of the need for orthodontic treatment in the permanent dentition stage among populations in Gulf Cooperation Council (GCC) countries. For observational studies in GCC countries, the key terms were electronically searched in Science Direct, PubMed, Embase, Cochrane Reviews, Google Scholar, and Sage databases (1990-2021). The bias risk for the selected studies was evaluated using the modified Strengthening the Reporting of Observational Studies in Epidemiology statement.

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Aim: To compare the clinical sequelae of the efficacy of PRF vs PRF + collagen plug in soft tissue healing and preservation of the socket width, height, and bone density in patients reporting for extractions of maxillary or mandibular anterior or posterior teeth and patients who desired replacement of teeth with dental implants in future.

Materials And Methods: The study included 54 patients who were divided randomly into 3 groups consisting of 18 patients in each group: in group I, no preservation of extraction socket; in group II, PRF was used; and in group III, PRF + collagen plug was used for preservation of extraction socket. Assessment of the soft tissue healing, bone density, bone height, and width was done on 1st, 8th, 12th, and 16th weeks, postoperatively.

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A computationally efficient speech enhancement pipeline in noisy environments based on a single-processor implementation is developed for utilization in bilateral cochlear implant systems. A two-channel joint objective function is defined and a closed form solution is obtained based on the weighted-Euclidean distortion measure. The computational efficiency and no need for synchronization aspects of this pipeline make it a suitable solution for real-time deployment.

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This paper presents the real-time implementation of an environment-adaptive noise suppression algorithm on an FDA-approved PDA platform for cochlear implant studies. This added capability involves identifying the background noise environment in real-time and adapting a data-driven noise suppression approach to that noise environment on-the-fly. Various software optimization steps are taken in order to achieve a real-time throughput on the PDA platform involving both the speech decomposition and the adaptive noise suppression components.

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The performance of cochlear implants deteriorates in noisy environments compared to quiet conditions. This paper presents an adaptive cochlear implant system, which is capable of classifying the background noise environment in real time for the purpose of adjusting or tuning its noise suppression algorithm to that environment. The tuning is done automatically with no user intervention.

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Cochlear implant patients often complain about their difficulty in understanding speech in noisy environments. Currently a fixed noise suppression algorithm is used in cochlear implants regardless of the characteristics of the speech or noise environment. Access to an intelligent mechanism to determine the noise environment on-the-fly in order to automatically switch between different noise suppression algorithms in real-time can enhance patients experience with cochlear implants.

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This paper presents a wavelet-based speech coding strategy for cochlear implants. In addition, it describes the real-time implementation of this strategy on a personal digital assistant (PDA) platform. Three wavelet packet decomposition tree structures are considered and their performance in terms of computational complexity, spectral leakage, fixed-point accuracy, and real-time processing are compared to other commonly used strategies in cochlear implants.

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The present paper describes the design of two stimulators (bench-top and portable) which can be used for animal studies in cochlear implants. The bench-top stimulator is controlled by a high-speed digital output board manufactured by National Instruments and is electrically isolated. The portable stimulator is controlled by a personal digital assistant (PDA) and is based on a custom interface board that communicates with the signal processor in the PDA through the secure digital IO (SDIO) slot.

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Integration of human papillomavirus (HPV) DNA into the host cell genome is believed to be essential for malignant progression. However unambiguous detection of the physical state of HPV is a difficult and time-consuming procedure. To resolve this issue a simple, rapid and highly sensitive technique of polymerase chain reaction (PCR) has been utilized for detecting the physical state of HPV-16 DNA.

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50 cases of biopsy proved primary nodal lymphomas were selected and serum immunoglobulins IgA, IgG and IgM were estimated by SRID method. Clinical stage and histological sub-typing were correlated with Immunoglobulin levels.

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