Results 31 to 40 of about 9,283 (178)

Observation of Intraoperative Visual Evoked Potential Monitoring during Prostrate Spinal Surgery

Global Spine Journal, 2015
Introduction In order to provide the theoretical basis and practical guidance of eye protection during the prone spinal surgery under the general anesthesia, visual evoked potential (VEP) was monitored before and after surgery.
Zhiming Cui, Guofeng Bao
doaj   +1 more source

Influence of visual angle on pattern reversal visual evoked potentials

Oman Journal of Ophthalmology, 2014
Purpose: The aim of this study was to find whether the visual evoked potential (VEP) latencies and amplitude are altered with different visual angles in healthy adult volunteers or not and to determine the visual angle which is the optimum and most ...
Ruchi Kothari, Smita Singh, Ramji Singh, A K Shukla, Pradeep Bokariya   +4 more
doaj   +1 more source

Pattern-Reversal Visual Evoked Potentials Tests in Persons with Type 2 Diabetes Mellitus with and without Diabetic Retinopathy

Neurology Research International, 2020
Background. Currently, diabetic retinopathy (DR) has a wide recognition as a neurovascular rather than a microvascular diabetic complication with an increasing need for enhanced detection approaches.
Raghda S. Al-Najjar, Nehaya M. Al-Aubody, Salah Z. Al-Asadi, Majid Alabbood   +3 more
doaj   +1 more source

Visual pathways involvement in clinically isolated syndrome in children [PDF]

International Journal of Ophthalmology, 2015
AIM: To investigate extent and nature of visual pathways involvement in children with clinically isolated syndrome (CIS). METHODS: Forty-seven patients (age 11-17y) with CIS, which later proved to be multiple sclerosis (MS) onset, and 30 controls ...
Vladislav Voitenkov, Natalia Skripchenko, Andrey Klimkin   +2 more
doaj   +1 more source

Tuning and optimization for a variety of many-core architectures without changing a single line of implementation code using the Alpaka library

, 2017
We present an analysis on optimizing performance of a single C++11 source code using the Alpaka hardware abstraction library. For this we use the general matrix multiplication (GEMM) algorithm in order to show that compilers can optimize Alpaka code ...
Bussmann, Michael, Huebl, Axel, Matthes, Alexander, Widera, René, Worpitz, Benjamin, Zenker, Erik   +5 more
core   +1 more source

Comparison of Visual Evoked Potential Components In Female Patients of Primary Open Angle Glaucoma with Age Matched Control Females

Delhi Journal of Ophthalmology, 2013
Objective: To compare the P100 latency and P100 amplitude of pattern reversal visual evoked potential VEP in a cohort of female patients having primary open angle glaucoma (POAG) with those of age matched control females.
Ruchi Kothari, Pradeep Bokariya, Smita Singh, Ramji Singh   +3 more
doaj   +1 more source

The development of neural responses to emotional faces: A review of evidence from event-related potentials during early and middle childhood

Developmental Cognitive Neuroscience, 2021
Facial emotion processing (FEP) develops throughout childhood and provides crucial social information necessary for the interpretation and prediction of others’ behaviour.
Felicity J. Bigelow, Gillian M. Clark, Jarrad A.G. Lum, Peter G. Enticott   +3 more
doaj   +1 more source

Multi-GPU Graph Analytics

, 2017
We present a single-node, multi-GPU programmable graph processing library that allows programmers to easily extend single-GPU graph algorithms to achieve scalable performance on large graphs with billions of edges.
Owens, John D., Pan, Yuechao, Wang, Yangzihao, Wu, Yuduo, Yang, Carl   +4 more
core   +1 more source

Electrophysiological evaluation in patients with type 2 diabetes mellitus by pattern reversal visual evoked potentials

National Journal of Physiology, Pharmacy and Pharmacology, 2017
Background: A more general involvement of the nervous system in diabetes, affecting not only the peripheral but also the central nervous system has been increasingly suggested over the last two decades.
Sangeeta Gupta, Tazeen Khan, Gaurav Gupta, Bimal K Agrawal, Zahid Khan   +4 more
doaj   +1 more source

DeLTA: GPU Performance Model for Deep Learning Applications with In-depth Memory System Traffic Analysis

, 2019
Training convolutional neural networks (CNNs) requires intense compute throughput and high memory bandwidth. Especially, convolution layers account for the majority of the execution time of CNN training, and GPUs are commonly used to accelerate these ...
Chatterjee, Niladrish, Erez, Mattan, Lee, Donghyuk, Lym, Sangkug, O'Connor, Mike   +4 more
core   +1 more source