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Page 747 of 936 Results 7461 - 7470 of 9356

G. Postolache, L. Silva Carvalho, O. Postolache, P. Girão , I. Rocha
HRV AND BPV NEURAL NETWORK MODEL WITH WAVELET BASED ALGORITHM CALIBRATION

The heart rate and blood pressure power spectrum, especially the power of the low frequency (LF) and high frequency (HF) components, have been widely used in the last decades for quantification of both autonomic function and respiratory activity. Discrete Wavelet Transform (DWT) and the Fast Fourier Transform (FFT) represent important tolls in this field. The paper presents a new solution for LF and HF evaluation that combines the Daubechies DWT with neural processing techniques. Several types of neural networks (Radial Basis Function and Multilayer Perceptron) capable of evaluating LF and HF values were designed and implemented. The training values to design the network were obtained after heart rate and blood pressure wavelets processing. The designed neural structures assure a faster evaluation tool of the sympathetic and parasympathetic autonomic nervous system control of cardiovascular function.

Kresimir Malaric, Mirta Tkalec, Roman Malaric
SOME NEW RESULTS ON MOBILE PHONE RADIATION EFFECT ON LEMNA MINOR

This paper is the continuation of the experiments with the mobile phone radiation effect on Lemna minor. Here, the effect of 217 Hz modulation with electric field strength of 23 V/m, 2 hours long exposure at the frequency of 900 MHz, was taken into the account. The results showed no statistical growth decrease. A peroxidase activity in exposed plants was slightly increased. Observed changes were small both for growth and peroxidase activity.

Claudio De Capua, Emilia Romeo
TIME SERIES PREDICTION FOR BIOMEDICAL MEASUREMENTS USING FUZZY LOGIC

In this paper is proposed an algorithm of prediction fuzzy for chaotic time series. This approach has been select because, in presence of specific pathologies, biomedical data may be represented as a chaotic time series. In particular, we are interested in monitoring the intracranial pressure (IP) of some patients in a state of coma who were suffering from intracranial hypertension syndrome. In these particular cases, prediction is necessary (from a diagnostic point of view) if you want to operate at the right moment on IP abnormal conditions. The proposed approach is based on a prediction multi-factor algorithm which doesn’t need the knowledge of the mathematical working model of the biologic phenomenon, translating the real time series into a fuzzy time series.

G. Di Leo, G. Fabbrocini, C. Liguori, A. Pietrosanto, M. Sclavenzi
ELM IMAGE PROCESSING FOR MELANOCYTIC SKIN LESION DIAGNOSIS BASED ON 7-POINT CHECKLIST: A PRELIMINARY DISCUSSION

Early detection of melanoma is one of the greatest challenges of dermatologic practice today. A new diagnostic method, the “ELM 7 point checklist”, defines a set of seven features, based on colour and texture parameters, which describe the malignancy of a lesion. It has been presented as faster and with the same accuracy than the traditional ABCD criteria in the diagnosis of melanoma. In this paper a preliminary step to the automated diagnosis of melanocytic skin lesions, based on ELM 7 point checklist, is proposed. In particular, an image processing methodology focussed on finding the presence of two different parameters is set-up and characterized.

P. Jurák, J. Halámek, V.K. Somers, M. Eisenberger, P. Frána, J. Nykodým, P. Leinveber, T. Kára
QT INTERVAL DETECTION AND VERIFICATION METHODS

The aim of this study is to compare methods for T-wave end detection and QT interval computation and to discuss the importance of interactive result verification. The comparison includes methods for minima detection, a regression method and a method based on signal derivation. All these methods were tested on ECG data with high QT interval variability and high signal distortion.

M.C.Brinzila, C.Fosalau, E.Lunca, M.Cretu
A COMPLEX SYSTEM FOR ENVIRONMENTAL MONITORING WITH A PROTOTYPE DATA ACQUISITION BOARD

In the present paper is presented a method for on-line measurement using a complex system for environmental monitoring whit a prototype data acquisition board. A study for Taguchi-type gas sensor using the data acquisition board will be performs.

Gregorio Andria, Giuseppe Cavone, Anna M. L. Lanzolla, Alessandro Rubino
MODELLING STUDY FOR CHARACTERIZING AND PREDICTING URBAN AIR POLLUTION

This work proposes the development of an air pollution model based on a joined application of Kalman filter and Kriging technique. The use of modelling techniques in data environmental analysis allows to characterize the pollutants behaviour, in order to validate the measured data and to predict the values of contaminant substances emissions; so it results a very useful analysis tool, especially when there are numerous missing or erroneous data.
The joint applications of both Kalman filter and Kriging algorithms allows taking the main advantages of two different methods, in order to improve the performance of the developed model and to reduce its uncertainty too.

M. Dias Pereira, O. Postolache, P. Girão, Helena Ramos
SMART OIL AND CONDUCTIVITY SENSOR FOR WATER QUALITY MONITORING

This paper presents a smart sensor designed for oil-on-water thickness and water conductivity measurements. Basically, the proposed sensing devices include a capacitive element used to measure oil thickness and a conductivity element to measure water conductivity. Temperature compensation of measured values is also provided by including an additional temperature sensor in the system. The main characteristics of the smart sensor system include pulse-width modulation of sensors’ output signals, auto-calibration capability and temperature error compensation. Field applications are not restricted to environmental monitoring and can include wastewater treatment plants, oil quality measurement and measurement of oil quality in fluid systems and hydraulic components. Some experimental results are also presented in this paper.

Jana Parílková, Ivan Krejcí
MODELLING OF EFFECTS OF EXTREME HYDROLOGICAL EVENTS ON THE PROTECTIVE DIKE CONSTRUCTION

Mathematical models of protective dikes are used for forecasting of extreme hydrological situations. For purposes of calibration and verification of these models, the physical modelling is used. Physical model creates the dike of defined parameters (dimensions, material, time of loading, etc.) equipped with proper sensors and instrumentation, which is mostly tested in laboratory conditions. The results of two electronic methods monitoring investigated effects are discussed.

Peris G. Halaris, Constantinos G. Karagiannopoulos, Perikles D. Bourkas
CONDUCTIVITY MEASUREMENTS AND INTERPRETATIONS REGARDING ANTISTATIC MATERIALS

In this work, measurements are given of ohmic resistances in samples of fitted anti-static flooring. The measurement procedures were based on the relevant regulations DIN 51953 and DIN 53482. The measurement values that are shown concern various types of aged anti-static flooring that is commonly found and used in intensive care facilities such as operating theatres, extra care treatment rooms, areas with Computer Tomography systems, etc. Furthermore it presents measurements of new types of anti-static flooring for reasons of comparison. All results are presented in table form and are analysed in detail. The results of all the measurements of this exercise taken into consideration, an attempt is also made to interpret the phenomena that lead to the reduction of conductivity in these materials, and subsequently how these phenomena can be prevented.

Page 747 of 936 Results 7461 - 7470 of 9356