A stable feature extraction method in classification epileptic EEG signals.

Epilepsy is one of the most common neurological disorders. Electroencephalogram (EEG) signals are generally employed in diagnosing epilepsy. Therefore, extracting relevant features from EEG signals is one of the major tasks in an accurate diagnosis.

Treatment-failure tularemia in children.

Purpose: Tularemia is an infection caused by . Its diagnosis and treatment may be difficult in many cases. The aim of this study was to evaluate treatment modalities for pediatric tularemia patients who do not respond to medical treatment.

A novel type of activation function in artificial neural networks: Trained activation function.

Determining optimal activation function in artificial neural networks is an important issue because it is directly linked with obtained success rates. But, unfortunately, there is not any way to determine them analytically, optimal activation function is generally determined by trials or tuning. This paper addresses, a simpler and a more effective approach to determine optimal activation function.

Does Bedside Sonography Effectively Identify Nasogastric Tube Placements in Pediatric Critical Care Patients?

Background: A nasogastric tube (NGT) insertion is a common procedure in intensive care units, with some serious complications that result from the malposition of the NGT tip. This pilot study was designed to investigate the efficiency of ultrasound in verifying correct NGT placement and to compare these results with radiographic findings.

Materials And Methods: This was a single-center, double-blind prospective study of patients who had received an NGT in the pediatric critical care unit.

A novel approach for SEMG signal classification with adaptive local binary patterns.

Feature extraction plays a major role in the pattern recognition process, and this paper presents a novel feature extraction approach, adaptive local binary pattern (aLBP). aLBP is built on the local binary pattern (LBP), which is an image processing method, and one-dimensional local binary pattern (1D-LBP). In LBP, each pixel is compared with its neighbors.