The Accuracy of Temperature Monitoring of the Incubator for Newborns

The objective of this paper is to investigate the performance of the Incubator for Newborns at the departments of intensive care in Jafer Ibn Aouf Reference Children Hospital, is governmental Children specialized hospital. Using the INCUTM Incubator Analyzer to analyzing various aspects of performance of neonatal incubator and its compliance with the set requirements and regulations according to the technical standard IEC (International Electro technical Commission) 60601-2-19. The data used in this study were obtained by interpreting of the performance test results of neonatal incubator. Numerically, According to the results presented in Tables (1 & 3), the neonatal incubator have achieved acceptable performance and sustaining the requirements of the standard IEC 60601-2-19. In other words, the temperature at points T1, T2, T3, and T4 does not differ from the neonatal incubator average temperature by more than 0.8°C, and this temperature does not differ more than 1.5 °C from the incubator control temperature. Compared to the established technique, the estimation error is negligible

Precise temperature measurement for increasing the survival of newborn babies in incubator environments

Precise temperature measurement is essential in a wide range of applications in the medical environment, however the regarding the problem of temperature measurement inside a simple incubator, neither a simple nor a low cost solution have been proposed yet. Given that standard temperature sensors don’t satisfy the necessary expectations, the problem is not measuring temperature, but rather achieving the desired sensitivity. In response, this paper introduces a novel hardware design as well as the implementation that increases measurement sensitivity in defined temperature intervals at low cost.Web of Science1412235802356

Fuzzy Wavelet Neural Network Using a Correntropy Criterion for Nonlinear System Identification

Recent researches have demonstrated that the Fuzzy Wavelet Neural Networks (FWNNs) are an efficient tool to identify nonlinear systems. In these structures, features related to fuzzy logic, wavelet functions, and neural networks are combined in an architecture similar to the Adaptive Neurofuzzy Inference Systems (ANFIS). In practical applications, the experimental data set used in the identification task often contains unknown noise and outliers, which decrease the FWNN model reliability. In order to reduce the negative effects of these erroneous measurements, this work proposes the direct use of a similarity measure based on information theory in the FWNN learning procedure. The Mean Squared Error (MSE) cost function is replaced by the Maximum Correntropy Criterion (MCC) in the traditional error backpropagation (BP) algorithm. The input-output maps of a real nonlinear system studied in this work are identified from an experimental data set corrupted by different outliers rates and additive white Gaussian noise. The results demonstrate the advantages of the proposed cost function using the MCC as compared to the MSE. This work also investigates the influence of the kernel size on the performance of the MCC in the BP algorithm, since it is the only free parameter of correntropy

Fibers for Skin Regeneration

This thesis presents the successful development of biocompatible Polyvinyl Butyral (PVB), PVB/Polylysine and PVB/Tannic Acid (TA)/Polylysine fibers from an ethanol solution, Polyhydroxybutyrate (PHB), PHB/Polylysine, PHB/TA/Polylysine fibers from a chloroform solution and Chitosan (CH)/Pullulan (PL)/TA and CH/PL/TA/Polylysine fibers from an aqueous solution. The fibers were mass produced utilizing the Forcespinning® (FS) technology. The morphology of the fibers was characterized using a scanning electron microscope (SEM) and the fibers average diameter was calculated. The thermal properties of the fibers were characterized using a thermogravimetric analyzer (TGA) and a differential scanning calorimeter (DSC). The antibacterial activity of the fibers was assessed using against Escherichia coli. The biocompatibility of the fibers was studied by culturing NIH 3T3 Mouse Embryonic Fibroblast cells in the fibers. These fibers provide the cells with a 3D environment mimicking the extracellular matrix (ECM) in the skin which favors cell adherence and attachment, thus favoring skin wound healing

Design of Infant Incubator

Tématem této diplomové práce je design novorozeneckého inkubátoru. Práce se zabývá vlastním návrhem designu stacionárního inkubátoru, který splňuje základní technické, ergonomické i sociální požadavky s ohledem na využití moderních technologií a materiálů. Rovněž přináší nový pohled na tvarové řešení daného tématu.The topic of this master’s thesis is design of infant incubator. The thesis concerns own design of infant incubator that meet the basic technical, ergonomical and social requirements and also brings a new look and shape as solution to the main topic. The infant incubator is designed in regard to modern materials and technologies.