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The aim of this study is to denoise the bioimpedance signal and to calculate cardiovascular parameters from the thoracic cardiovascular signal. To achieve these goals, we present a de-noising operation that remove noise without losing or reducing the bioimpedance signal. After that, we have designed an algorithm determine and pick-up some cardiovascular parameters including cardiac output, arterial...
This paper presents a new approach of retinal centerlines detection with a combination of Neuro-Fuzzy (NF), Multi-scale Product (MSP) of Wavelet transform (WT) and Mathematical morphology (MM) tools. The proposed approach has an accuracy of 94,14% obtained on DRIVE Database. We started by operating a supervised Neuro-Fuzzy of the image and edges extraction by multi-scale product (MP) of three bands...
Recently, One Class Support Vector Machines (OCSVM) have been the subject of much research. This paper introduces a novel pattern classification approach for Broken Rotor Bar (BRB) detection in Induction Motors (IM), which combines Stationary Wavelet Packet Transform (SWPT) and OCSVM. Among all the kernels available to OCSVM, wavelet kernels are tuned to improve accuracy and detection time of fault...
An important goal in structural health monitoring (SHM) is to identify the state of the structure in order to detect when damage occurs. In this paper, we tackle the state estimation problem in SHM systems. Therefore, a Bayesian approach based on particle filtering is proposed to perform the optimal online estimation. The proposed scheme relies on the introduction of an efficient importance density,...
Computerized interpretation of the electrocardiogram (ECG) is increasingly used to assist clinician experts to reduce times to reperfusion for patients suspected of ST-segment elevation myocardial infarction (STEMI). In this context, we have developed a system based on Field Programmable Gate Array (FPGA) for automatic detection of STEMI, using the MicroBlaze soft processor from Xilinx. More particularly,...
Immunofluorescence is the visualization of organs using antibodies as fluorescent probes. It allows to detect and to localize one or more fluorescent labeled structure using specific antibodies. A major problem in this regard is the autofluorescence present in some biological samples. The spatial localization analysis of interest structures is often perturbed by a significant overlap between the marker...
Recently, Content Based Image Retrieval (CBIR) has received a great attention by researchers. It becomes one of the most interesting topic in computer vision and image processing. CBIR image can be represent by local or global features. The entire image is described in the case of global features by using a novel descriptor called Upper-Lower of Local Binary Pattern (UL-LBP) based on Local Binary...
The Single Photon Emission Computed Tomography (SPECT) exams are known for their long durations. It is then interesting to reduce these durations which is considered, in its self, as a degradation cause of the scintigraphic images quality. In fact, patient's movements during the examination procedure cause the appearance of motion artifacts. On the other hand, the exposure time reduction induces degradation...
Segmentation of cerebrovascular structures from MRA (Magnetic Resonance Angiography) is a challenging assignment as a result of the complexity structures of the vessels and the characteristics of the MRA images. This article presents a new method which extracts the vascular structures from 2D medical images and helps the doctors in the treatment and diagnosis of vascular disease. In our proposed method,...
Dynamic Positron Emission Tomography (PET) is a functional imaging modality which provides information about tracer kinetic in a specific target. In the last three decades, the [18F]-fluorodeoxyglucose ([18F]-FDG) tracer has been widely used by many institutions to measure the local myocardium metabolic rate for glucose. The analysis of the dynamic measurements requires, often, parameters estimation...
Resting-state functional MRI (rs-fMRI) is an imaging technique providing the possibility to analyze the functional connectivity patterns of the human brain [1]. Functional connectivity can be evaluated through different methodologies. We can find for example Independent Component Analysis (ICA), Seed-based, Graph Theory (GT), etc. [2] [3]. In this study, we presented a several preprocessing strategies...
Encryption is an outstanding way that professionals and unprofessional rely on to protect their fragile data mobile devices. Nowadays, we notice a high trend of mobile devices usage whether on a professional or daily basis. Hence, the security of the exchanged and saved data in our smartphones, tablets, laptops etc. is a leading case for both user and producer. As the majority of SMS encryption applications...
The paper introduces to the digitization and features extraction processes of large volume of imaging documents and stored as images using mechanisms of big data and cloud technology. So, layout analysis, image representation, feature extraction and transformation huge amount of the prepared document images are presented in this paper. Accordingly, an efficient way reliable and highly clustering functionality...
This paper presents our semantic mediation architecture for homogeneously retrieving data from big data. The architecture is split into three layers to find relevant answers of this data. In the proposed ontology-based approach, we use our domain ontology on alimentation risks field as well as a global schema of mediator and we apply the summarization process based on ontology for describes part of...
In this paper, an Ultra-Wide-Band (UWB) RF power amplifier (PA) which provides some great features such as high and flat gain, low power, small group delay variation and a greater stability across the entire spectrum from 3.1GHz to 10.6 GHz is proposed. The UWB PA that it is implemented in 0.18μm CMOS technology employs stagger tuning technique which incorporates two stage amplifier connected in cascode...
The proper acquisition and exploitation of carrying signals in an intelligent network ensure performances optimization. Especially, if the used method seeks to use existing resources and improve their uses in order to make it more effective. However, based on this concept, the design of a flexible, dynamic, and resistant network can be easily reached. This paper deals with the issue of the good exploiting...
Since antiquity, the Meskat system was adopted practice to sustain olive tree cultivation in the Tunisian Sahel region. This technique was based on the runoff harvesting from catchment area to irrigate downstream plots planted with olive trees as blocks. This paper aims to study the spatial distribution and characterization of Meskat system. A set of maps and satellite data were used and integrated...
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