Publications by authors named "V Gopalakrishna"

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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