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An ontology is an explicit specification of a conceptualization, the term is often linked with the Semantic Web, ontologies are used like representations of knowledge, to annotate web resources and also to communication between systems. This make them very important, but unfortunately their construction is expensive, and because they are representations of knowledge, we thought of using the enormous...
This paper aims to present a proposal for developing an intelligent virtual environment based on multi-agent systems, neural networks, ontology and Fourier transform. Its main purposes are training professionals of health field through e-learning and the diagnosis of diseases affecting mammary glands, providing an improvement in conditions of diagnostics in the medicine area.
We study the feasibility of processing B-mode images instead of RF data to generate ultrasound elastography displacement fields. We use the exhaustive search (ES) algorithm which is a basic block matching algorithm from the video compression domain. We also apply two modifications to ES that can enhance both speed and detectability. Quantitative measurements of accuracy and runtime are presented....
An activity of human body can be recorded by the method known as electrocardiography (ECG). The research carried out was to design a new prototype ECG device with wireless capability for the recording of ECG parameters. The idea of this novel project was to achieve wireless transmission of the ECG parameters at the clinician side to make it easy for the clinician and also it will be helpful for the...
This research paper presents an intelligent system to predict the risk assessment of hypertension in three main related areas like diabetes, cardiovascular problems, and kidney disorders. The system is targeted on patients in Sultanate of Oman. Currently there is no specific system in the domain of hypertension or its associated diseases in the Sultanate. Also currently available medical systems in...
An ECG signal is susceptible to a significant interference due to the surrounding sources of noise. The identification of these sources is necessary to acquire an ECG signal since its level is low (few millivolts) and is also immersed in a noisy environment. We propose the elimination of the ground electrode to reduce common-mode interference. We provide a qualitative model for these sources of interference...
Prevalence of asthma, especially in air polluted areas, has dramatically increased. As a result, the demand for a system that is able to predict asthma attacks and monitor a patient's condition is becoming increasingly important. This paper presents a prototype system that allow asthma's patients to self-monitor their symptoms condition and manage their conditions accurately, as well as informing...
The detection and classification of heart arrhythmias using Electrocardiogram signals (ECG) has been an active area of research in the literature. Usually, to assess the effectiveness of a proposed classification method, training and test data are extracted from the same ECG record. However, in real scenarios test data may come from different records. In this case, the classification results may be...
The ability to recognize human activities from sensed information is very important for ubiquitous computing applications using smart identification technologies. This paper addresses a new discriminative supervised method combining the classical Principal Components Analysis with the correlation criterion for performing activity recognition in a smart home. We conduct several experiments, demonstrate...
Our aim in this work is the modeling of the ECG data by polynomial transform. We have developed an algorithm that allows the modeling of the ECG signal with the Chebyshev polynomial. This algorithm consists of several steps. The segmentation of the signal, transposition of the signal in the domain of definition of the polynomial to compute the coefficients follows that the following uses to reconstruct...
This Scintigraphy represents a tool for exploring functional property shown in several pathologies. Take the example of the ventriculair ejection fraction, the renal clearance and the thyroid activity. However, scintigraphic images are strongly affected by noise. So, our objective in this work is to improve scintigraphic images to obtain sharper images and more reliable diagnosis for better orientation...
Hash functions are widely used in encryption schemes and security layers of communication protocols for data integrity, digital signature and message authentication codes[18]. Hash function is a well-defined procedure that converts a large data into a small one, The returned value from hash function is called hash code, It is well known that Hash algorithm works in one way and cannot be reversed,...
This pilot research examines the motives, the obstacles and the expected outcomes of telemedicine from a medical practitioner's viewpoint. It is a qualitative study based on interviews of 60 practitioners, all from general hospitals of the metropolitan area of Thessaloniki, Central Macedonia, Northern Greece. The study shows that the vast majority of them disagree with the motives provided for the...
In modern medical domain, documents are created directly in electronic form and stored on huge databases containing documents, text in integral form and images. Retrieving right informations from these servers is challenging and, sometimes, this is very time consuming. Current medical technology do not provide a smart methodology classification of such documents based on their content. In this work...
In this paper, a low-power, low-noise chopper stabilized CMOS differential difference instrumentation amplifier (CHDDA) for portable biopotential acquisition applications is presented. The proposed 130 nm CMOS chopper stabilized amplifier has 3.2μW power dissipation, thermal noise floor of 10 nV/rtHz and corner frequency in the vicinity of 10 Hz with 1 V supply voltage which performs adequately well...
Electronic Health Records (EHR) presented through visual analytic systems could be easily interpreted by physicians for better understanding of a patient's medical details. However, there are still a lot of issues with the existing visual analytical applications in terms of the physicians to correctly infer those medical data. The existing applications were found to be more focusing on the colour...
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