The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We tested the localization accuracy of electroencephalograph (EEG) for an inert region in a simulation at sizes ranging from 1 to 8 cm at 1 cm intervals. We used international 10-20 system electrodes placements and three concentric shell model to calculate forward problems. From using the data, neural network could be used to solve inverse problems. In this case, we estimate the localization of inert...
A novel filter is proposed by applying back propagation neural network (BPNN) ensemble where the noisy signal and the reference one are the same. The neural network(NN) ensemble filter not only well reduces additive and multiplicative white noise inside signals, but also preserves signals' characteristics. It is proved that while power of noise is larger, the reduction of noise using NN ensemble filter...
Snore sound (SS) is the earliest and the most common symptom of Obstructive Sleep Apnea (OSA) which is a serious disease caused by the collapse of upper airways during sleep. SS should carry vital information on the state of the upper airways and is simple to acquire and rich in features but their analysis is complicated. In this study we use neural network (NN) based method to model SS via a simple...
Investigation of the diagnosis of human brain through the electroencephalograph (EEG) is an important application of EEG signals. While automated techniques exist for EEG analysis, it is likely that additional information can be extracted from EEG signals through the use of new methods. In this paper, we propose a method that applies artificial neural networks approach for identification of the inactive...
Evaluation of biomedical signals is important in the diagnosis of neurology diseases, such as dementia, in neurology through the use of electroencephalograms (EEG). While automated techniques exist for EEG analysis, it is likely that additional information can be extracted from EEG signal through the use of new methods. We describe a method for identifying inert region from EEG. This method uses EEG...
A problem of estimating biopotential sources in the brain based on electroencephalographic (EEG) signals observed on the scalp is known as an important inverse problem of electrophysiology. Specifically, for the inverse problem from EEG data to dipole source there is no unique solution and solutions do not depend continuously on the data. In this paper we describe a system to localize two dipoles...
EEG (electroencephalogram) analysis is one of the most familiar methods. The goal of this study is to develop the integrated EEG analysis software. In some cases, temporary or permanent occlusion of the arteries, which participates the cerebral blood flow, is needed during surgery. It is important to monitor the brain condition to prevent from a sequel. In this study, we propose moving average type...
At present the number of patients of ulcerative colitis (UC) has been increasing in Japan. A leukocytapheresis (LCAP) is one of the cure to the patients of UC. LCAP is a kind of blood purification treatments. It is said that the blood pressure is decreased during the blood purification. This takes place according to the change of the water balance in the body. The water balance is expressed as a hematcrit(Ht)...
We have developed a small scale four-layered neural network (NN) model for simple character recognition, which can recognize the patterns transformed by affine conversion. In this study 24 patterns are presented as input patterns. An input pattern is divided into 64 local patterns and connected with the 1st hidden layer. After the training, we investigated the recognition mechanism of NN using Alopex...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.