Abdallah BENHAMIDA

Abdallah BENHAMIDA

Óbudai Egyetem

H-index: 5

Europe-Hungary

About Abdallah BENHAMIDA

Abdallah BENHAMIDA, With an exceptional h-index of 5 and a recent h-index of 5 (since 2020), a distinguished researcher at Óbudai Egyetem, specializes in the field of Computer Science, Biomedical Engineering, Patient Monitoring, Artificial Intelligence, Machine.

His recent articles reflect a diverse array of research interests and contributions to the field:

3D video streaming in digital pathology using virtual reality

Real-time video streaming in medicine using virtual reality

Low latency 3D image streaming in medicine

How to evaluate over 60 million blood glucose data—The design of the MÉRY Diabetes Database

Comparison of polygon and voxel-based visualization of miroscopic serial sections

Comparison of volumetric measurement methods in medicine

User friendly virtual reality software development and testing

A Novel Algorithm for Automated Human Single-Lead ECG Pre-Annotation and Beat-to-Beat Separation for Heartbeat Classification Using Autoencoders

Abdallah BENHAMIDA Information

University

Óbudai Egyetem

Position

BioTech Research Center EKIK Hungary

Citations(all)

85

Citations(since 2020)

85

Cited By

4

hIndex(all)

5

hIndex(since 2020)

5

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

Óbudai Egyetem

Abdallah BENHAMIDA Skills & Research Interests

Computer Science

Biomedical Engineering

Patient Monitoring

Artificial Intelligence

Machine

Top articles of Abdallah BENHAMIDA

3D video streaming in digital pathology using virtual reality

Authors

Miklós Vincze,Viktor Jònàs,Mária Szántó,Abdallah Benhamida,Róbert Paulik,Anna Szandra Laczi,Boldizsár Szócska,Gábor Ender,Miklós Kozlovszky

Published Date

2023/7/26

Nowadays the use of 3D visualization in pathology is already an existing technology, but its widespread is hindered by several technical obstacles. One of these is the memory required to store the samples required for 3D display and the computing capacity essential for display. In our article, we present a solution developed by us to solve these problems, which can be used to minimize the hardware resources required for 3D visualization. Our development enables users to perform 3D visualization on digitized pathological serial sections even with the help of their everyday laptop.

Real-time video streaming in medicine using virtual reality

Authors

Miklós Vincze,Bence Biricz,Miklós Kozlovszky,Abdallah Benhamida

Published Date

2023/5/23

Nowadays, medical science is faced with many challenges that prevent doctors and researchers from working quickly and efficiently. Such a challenge is, for example, the evaluation of digitized 3D pathological serial sections in a consultative manner. This selected example brings to the surface several obstacles, the solution of which can improve everyday work and medical education in other medical fields as well. One of these difficulties is overcoming the distance, and the other is reducing the need for hardware resources since not all users can be expected to have the most modern computer components. Our goal was to design and implement a solution that enables users (doctors, researchers, educators, medical students) from anywhere in the world to participate in the evaluation of 3D digitized pathological samples, even with the use of limited hardware resources, all in an environment provided by virtual …

Low latency 3D image streaming in medicine

Authors

Miklós Vincze,Bence Biricz,Abdallah Benhamida,Miklós Kozlovszky

Journal

SYSTEM THEORY, CONTROL AND COMPUTING JOURNAL

Published Date

2023/12/31

3D visualization has been present in medicine for several decades, just think of the CT (Computer Tomography) imaging modality, which is capable of creating 3D images of the examined object by determining the radiation attenuation coefficient. In addition to CT equipment, there are many solutions capable of collecting and displaying various 3D data (MRI [Magnetic Resonance Imaging], PET [Positron Emission Tomography], OCT [Optical Computer Tomography]). In digital pathology, 3D visualization is not nearly as widespread as the previously mentioned solutions. One of the main reasons for this is the size of the digitized pathological samples and the hardware resources required for their 3D visualization. In the paper, we present a client-server architecture that can provide a solution to the existing hardware limitations during the 3D visualization of digitized pathological samples. In the paper, we present the basic structure of our solution, several main functionalities, and the testing of the server software we developed.

How to evaluate over 60 million blood glucose data—The design of the MÉRY Diabetes Database

Authors

Zsolt Hermányi,Vanda Csiki,Adrienn Menyhárt,Karola Osgyán,Anna Körei,Ildikó Istenes,Zsuzsanna Putz,Abdallah Benhamida,Attila Berey,Judit Hetthéssy,Szabolcs Varbiro,Miklós Kozlovszky,Péter Kempler

Journal

Journal of Diabetes and its Complications

Published Date

2023/10/1

AimsThe aim of the article is to describe the method for creating a close to ideal diabetes database. The MÉRY Diabetes Database (MDD) consists of a large quantity of reliable, well-maintained, precise and up-to-date data suited for clinical research with the intention to improve diabetes care in terms of maintaining targeted blood glucose levels, avoiding hypoglycemic episodes and complications and improving patient compliance and quality of life.MethodsBased on the analysis of the databases found in the literature and the experience of our research team, nine important characteristics were identified as critical to an ideal diabetes database. The data for our database is collected using MÉRYkék glucometers, a device that meets all requirements of international regulations and measures blood glucose levels within the normal range with appropriate precision (10 %).ResultsUsing the key characteristics defined …

Comparison of polygon and voxel-based visualization of miroscopic serial sections

Authors

Miklós Vincze,Marianna Dimitrova Kucarov,Bence Biricz,Abdallah Benhamida,Melvin Ogbolu,Miklós Kozlovszky,Viktor Jònàs,Róbert Paulik

Published Date

2022/7/6

Nowadays, the examination of digitized samples with a 2 dimensional visualization software is a common solution in digital pathology. In addition to these solutions, a new and emerging display technology is 3 dimensional visualization. Using 3 dimensional visualization technology, doctors and researchers may be able to examine areas of tissue samples that 2 dimensional imaging programs do not allow. Examples include the internal structure of a tissue sample, the interconnection of individual tissue portions, and even volumetric lesions. Basically, 3 dimensional visualization currently has 2 major branches, all of which are covered in this paper. The first is the polygon-based visualization, the second is the voxel-based visualization. The goal of visualization is basically the same in both methods, to be able to enable 3 dimensional visualization using 2 dimensional data, but their implementation and operation are …

Comparison of volumetric measurement methods in medicine

Authors

Miklós Vincze,Marianna Dimitrova Kucarov,Bence Biricz,Abdallah Benhamida,Melvin Ogbolu,Sándor Burian,Viktor JÓnÁs,Róbert Paulik,Miklós Kozlovszky

Published Date

2022/8/12

Nowadays, digital pathology is an unavoidable element in making a medical diagnosis. This discipline makes it possible to carry out studies that in the past were only inaccurate or not possible at all. An example of such a test is the volumetric measurement, in which the medical professional is able to determine the volume of a piece of tissue. New technologies such as 3D visualization make it possible to perform such medical examinations quickly and accurately. In this paper, we present some of the imaging modalities currently used in medicine to perform volumetric measurement, and we present our own volumetric measurement solution, which we created with a graphics engine, in order to take advantage of polygon-based visualization. At the end of the paper, we present test results for our own volumetric measurement solution.

User friendly virtual reality software development and testing

Authors

Bence Biricz,Viktor Jónás,Miklós Vincze,Abdallah Benhamida,Róbert Paulik,Miklos Kozlovszky

Published Date

2022/9/21

Virtual reality (VR) has grown in popularity in industry and science. While the development of virtual reality applications is progressing at a fast pace, even today it is a challenge to precisely define the aspects that make virtual reality software of high quality, user-friendly and usable. The biggest issue is that traditional software testing standards can only be partly followed. Using virtual reality for scientific purposes can provide researchers with new possibilities and change human-computer interaction. In this paper, we conducted a user study and identified a number of aspects that are the basic factors in determining the usability of virtual reality software. The results indicate that excessive head and arm movements have an impact on the VR experience.

A Novel Algorithm for Automated Human Single-Lead ECG Pre-Annotation and Beat-to-Beat Separation for Heartbeat Classification Using Autoencoders

Authors

Abdallah Benhamida,Miklos Kozlovszky

Journal

Electronics

Published Date

2022/12/4

An electrocardiogram (ECG) is used to check the electrical activity of the heart over a limited short-term or long-term period. Short-term observations are often used in hospitals or clinics, whereas long-term observations (often called continuous or stream-like ECG observations) are used to monitor the heart’s electrical activity on a daily basis and during different daily activities, such as sleeping, running, eating, etc. ECG can reflect the normal sinus rhythm as well as different heart problems, which might vary from Premature Atrial Contractions (PAC) and Premature Ventricular Contractions (PVC), to Sinus Arrest and many other problems. In order to perform such monitoring on a daily basis, it is very important to implement automated solutions that perform most of the work of the daily ECG analysis and could alert the doctors in case of any problem, and could even detect the type of the problem in order for the doctors to have an immediate report about the patient’s health status. This paper aims to provide a workflow for abnormal ECG signals detection from different sources of digitized ECG signals, including ambulatory devices. We propose an algorithm for ECG pre-annotation and beat-to-beat separation for heartbeat classification using Autoencoders. The algorithm includes the training of different models for different types of abnormal ECG signals, and has shown promising results for normal sinus rhythm and PVC compared to other solutions. This solution is proposed for no-noise and noisy signals as well.

Overview of Attack Graph Generation For Automotive Systems

Authors

Mera Nizam-Edden Saulaiman,Miklos Kozlovszky,Ákos Csilling,Anna Banati,Abdallah Benhamida

Published Date

2022/7/6

Modern vehicles of today integrate new services and advanced functionalities to bring comfort and safety features to the driver and passengers. As these vehicles are connected to external networks, they are similar to an Internet of Things device (IoT). The legacy definition of automotive security focuses on the safety of the vehicle, preventing physical attacks on the vehicle, but like an IOT device, the connected vehicle now has a wide attack surface that enables new, even remote attacks with serious consequences on the safety and security of the driver. Attack graphs are an efficient tool to automatically analyze security vulnerabilities in a system, it’s widely used in the IT domain but not so popular in the Automotive domain because of the high complexity of the automotive network.Currently defining assets and threat scenarios is done manually by experts in the automotive domain, which is a tedious and error-prone …

eHealth, teledentistry and health workforce challenges: results of a pilot project

Authors

Orsolya Németh,Fanni Simon,Abdallah Benhamida,Márton Kivovics,Péter Gaál

Journal

BMC Oral Health

Published Date

2022/12/1

BackgroundIn the twenty-first century, health systems have to cope with the challenges posed by their rapidly changing environment. Among these changes, the emergence of digital health solutions is an opportunity to make health systems better, but also a compelling force to change. Community dentistry is one area of health care, where the rapid technological development has the potential for substantial performance improvement benefitting dental patients in terms of access to care and conveniance.MethodsThis study is based on a survey of the dental care provided by three units (Oral Medicine, Periodontology, Orthodontics) of the Department of Community Dentistry, Semmelweis University, Budapest. During a period of 12 weeks, we have collected time balance data on 1131 patients, 539 in the traditional and 592 in a pilot teledentistry setting, in order to estimate how much time could be spared by …

Real-time multi-user 3D visualization software in medicine

Authors

Miklós Vincze,Marianna Dimitrova Kucarov,Bence Biricz,Abdallah Benhamida,Melvin Ogbolu,Miklós Kozlovszky,Viktor Jònàs,Róbert Paulik

Published Date

2022/11/21

Nowadays, the flow of information is paramount in order for everyone to have the knowledge they need to make decisions as soon as possible. It is no different in digital pathology either. There is still research and development today to make relevant medical information available to right holders as soon as possible. One possible direction of development is the use of real-time multi-user software. With these programs, users are able to collaborate in real time from around the world, set up a diagnosis together, and share it with others. By using this type of software, users can make decisions together by receiving the same data. These data can be, among other things, various measurement data, image data, morphological data. Implementing this software is difficult in several ways, such as processing huge amounts of data and ensuring smooth operation for multiple users. Some possible uses in the future include …

Personalized patient ventilation at large scale: Mass Ventilation System (MVS)

Authors

Ogbolu Melvin-Omone,Bence Takács,Roland Dóczi,Tivadar Garamvólgyi,Lászlo Szücs,Péter Galambos,Tamás Haidegger,Miklós Vincze,Kristóf Papp,Daniel Drexler,György Eigner,Abdallah Benhamida,Ezter Koroknai,Peter Dombai,Miklos Kozlovszky

Journal

Revista Tecnología en Marcha

Published Date

2022/11/16

Este artículo describe un sistema de ventilación masiva (MVS) que sirve como sistema de ventilación médica. Se puede utilizar para ventilar un gran número de pacientes con COVID-19 en paralelo (5-50+) con parámetros respiratorios personalizados. El sistema ha sido diseñado para ser médicamente adecuado para ventilación de pacientes invasiva y no invasiva. Protege a los trabajadores de la salud con su solución de filtrado de aire centralizado, aumenta la efectividad de los trabajadores de la salud con su comunicación en red y se puede operar en una configuración de hospital de emergencia temporal. En este artículo, describimos el concepto básico y los componentes básicos del sistema.

Effective ECG data conversion solution to solve ECG data interoperability problems

Authors

Abdallah BENHAMIDA,Ghaith SLIMANI,Marianna Dimitrova KUCAROV,Mera ABBASSI,Eszter KOROKNAI,Anikó SZARVÁK,Melvin OGBOLU,Miklós VINCZE,Miklos KOZLOVSZKY

Published Date

2022/1/12

ECG graphs show the electrical activity of the heart in function of time. It helps doctors to better understand the actual heart activity of the patient. Before the use of computers in the medical field, the ECG was printed and analyzed on a paper format. Nowadays medical data is archived in digital format and many data formats for ECG data storage are available. The many formats present an important problem of interoperability and compatibility between different data representations. A new technique to solve the interoperability issue and furthermore to store even stream-like ECG data became a necessity to assure better service quality of hospitals and to ensure smooth transition between different formats. This paper proposes a new (working and tested) solution for ECG data conversion, using an intermediate JSON format designed especially for ECG data, from/to SCP-ECG, DICOM-ECG, and HL7 aECG.

Displaying Digitalized Pathological Tissue Samples In 3D Using Virtual Reality

Authors

Miklós Vincze,Kristóf Tamás Papp,Doaa Mahmoud,Abdallah Benhamida,Marianna Dimitrova Kucarov,Róbert Paulik,Viktor Jonas,Melvin Ogbolu,Miklós Kozlovszky

Published Date

2022/1/12

Today, 2D visualization programs became more common in digital pathology. The use of these programs makes it possible to overcome the difficulties that were present in previous microscopic examinations. With these programs, you no longer have to worry about damaging the sample placed on the glass plate and no need to deal with physical samples for security or infection reasons, or perhaps the biggest advantage of such software, that the test is no longer stationary. Virtual reality technology is evolving at an ever-increasing rate and became more and more available for the average person. The purpose of this paper is to demonstrate the structure and operation of a software called PathoVrthat, in addition to the benefits of 2D visualization solutions, also uses virtual reality in a 3D visualization program. The program provides the ability to load two-dimensional digitized serial sections in virtual reality and is …

Cybersecurity aspects of location-based services (lbs) in 5g networks

Authors

Ogbolu Melvin Omone,Marianna Kucarov,Abdallah Benhamida,Miklós Vincze,Miklos Kozlovszky

Published Date

2022/1/12

The technology behind the provision of software services for the utilization of all related geographical raw data and processed information is known as Location-based Services (LBS). The raw data and processed information which are provided based on geographic location are presented in realtime; thus, the medium of transfer is possible through wireless communication networks and other forms of network clients (wired communication network). Early 2020, the impact of fifth generation (5G) network on Location-based Services (LBS) has been on the rise with improvements in the level of accuracy, speed in delivery, and the provision of information with Global Positioning System (GPS). In this paper, the application of Location-based Services (LBS) in fifth generation (5G) network as regards cybersecurity is being explored and emphasized. The use of the fifth generation (5G) network to curtail/prevent …

Human ECG data collection, digitalization, streaming and storing

Authors

Abdallah BENHAMIDA,Miklos KOZLOVSZKY

Published Date

2020/1/23

Remote healthcare services has become a must for many healthcare service providers and health device manufacturers. This process requires specialized health devices for collecting, storing, and sending one or many types of human bio-signals that are able to work for short-or long-term pace basis. Since IT renaissance, traditional paper-based ways of data collection became a non-preferred utility due to hard analysis, monitoring, or even data extraction procedures, these old technics does not enable data storage to keep track of different patient’s health status. In the meanwhile, historical patient status plays an important role for patient’s overall status monitoring. Apple iWatch4, Sanatmetal WIWE, Meditech CardioBlue, and Savvy PCARD ECG presents some of nowadays’ healthcare technologies that could keep track of patient’s health status during all day activities. These devices could work for many hours …

Real time object detection for aerial search and rescue missions for missing persons

Authors

Zsolt Domozi,Daniel Stojcsics,Abdallah Benhamida,Miklos Kozlovszky,Andras Molnar

Published Date

2020/6/2

This paper introduces a solution to stand-alone system based, real-time object-detection, can efficiently facilitate the search for missing persons with an unmanned aerial vehicle. The challenge is the real-time implementation of the systems and training the given deep neural network for the desired task. The paper describes the methods and procedures currently in use, as well as the possible tools. Subsequently, the autonomous aircraft system, which carries a real-time detection system, is introduced. In the section about real-time detection, we will introduce the TensorFlow lite-based application, building on SSD topology, in detail, which was implemented on mobile phones. We will also introduce the dataset used for training, testing and the results achieved. In summary, the recall achieved is 65.4% and precision is 96.4%, besides the fact that the android-based application, using the phone’s camera, performs …

SaECG: a new FHIR Data format revision to enable continuous ECG storage and monitoring

Authors

Abdallah Benhamida,Alaa Kanas,Miklós Vincze,Kristof Tamas Papp,Mera Abbassi,Miklos Kozlovszky

Published Date

2020/11/5

Information Technologies are enabling integrated healthcare processes with effective information exchange between the patient and the medical professionals. ECG is one of the key human vital signs, used by a vast number of clinicians. Fast Healthcare Interoperability Resources (FHIR) created by Health Level Seven International (HL7), Digital Imaging and Communications in Medicine (DICOM), and Standard communications protocol for computer assisted electrocardiography (SCP-ECG) are representing major digital health-data archiving standards. Most of these standards are using XML-based/JSON-based or binary formats. The interoperability and compatibility between the various ECG formats are valid problems since many years. ECG monitoring is a challenging process due to many factors such as time limitation, data size, or device dependent parameters such as the number of used parallel sampling …

A Theory Approach Logic Model: Preventing Dehydration Symptoms Using Reduced Alcohol Intake (RAI) Logic Model

Authors

Ogbolu Melvin Omone,Aniko Szarvak,Miklós Kozlovszky,Abdallah Benhamida

Published Date

2020/5/21

Reduced Alcohol Intake (RAI) logic model is one of the systems/tools that excess alcoholic victims can use to reduce/prevent the impact of dehydration symptoms and encourage staying/living healthy. However, moderate alcohol consumption has been proven to offer numerous health benefits to the human body. The aim of this study is to introduce self-determined state and motivation as key factors among Óbuda University students about how dehydration symptoms can be prevented in reducing the amount of alcohol consumed per week using the RAI logic model. In this study, we shall develop a logic model for Reduced Alcohol Intake (RAI) using iMindMap that will help the students stay focused by remaining self-determined and motivated towards living a better life and increased academic performance. The basis of this research work is to present and test the RAI logic model. For a future work, we shall develop …

Traffic Signs Recognition in a mobile-based application using TensorFlow and Transfer Learning technics

Authors

Abdallah Benhamida,Annamária R Várkonyi-Kóczy,Miklos Kozlovszky

Published Date

2020/6/2

Nowadays, Machine Learning applications are spreading widely in different science and research fields which gave, in fact, the possibility to enhance the results of all kind of both, automated tasks and further possible application areas. Autonomous smart driving cars presents one of the major fields that uses machine learning technics to push further the automated tasks inside the car systems. Many types of research related to this topic enabled real application to fully automate some parts of the car driving process. Road lane detection, pedestrian and car approximation detection, and fastest road finding using real-time traffic statistics present some of the possible application areas that could use the Machine learning technics to improve autonomous driving cars systems. Traffic signs present an important part of the daily driving routine, therefore, traffic signs recognition for mobile-based application is a great …

See List of Professors in Abdallah BENHAMIDA University(Óbudai Egyetem)

Abdallah BENHAMIDA FAQs

What is Abdallah BENHAMIDA's h-index at Óbudai Egyetem?

The h-index of Abdallah BENHAMIDA has been 5 since 2020 and 5 in total.

What are Abdallah BENHAMIDA's top articles?

The articles with the titles of

3D video streaming in digital pathology using virtual reality

Real-time video streaming in medicine using virtual reality

Low latency 3D image streaming in medicine

How to evaluate over 60 million blood glucose data—The design of the MÉRY Diabetes Database

Comparison of polygon and voxel-based visualization of miroscopic serial sections

Comparison of volumetric measurement methods in medicine

User friendly virtual reality software development and testing

A Novel Algorithm for Automated Human Single-Lead ECG Pre-Annotation and Beat-to-Beat Separation for Heartbeat Classification Using Autoencoders

...

are the top articles of Abdallah BENHAMIDA at Óbudai Egyetem.

What are Abdallah BENHAMIDA's research interests?

The research interests of Abdallah BENHAMIDA are: Computer Science, Biomedical Engineering, Patient Monitoring, Artificial Intelligence, Machine

What is Abdallah BENHAMIDA's total number of citations?

Abdallah BENHAMIDA has 85 citations in total.

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