A5021446376- ECG Monitoring and Analysis
- Non-Invasive Vital Sign Monitoring
- AI in cancer detection
- EEG and Brain-Computer Interfaces
- Digital Radiography and Breast Imaging
- Video Surveillance and Tracking Methods
- Anomaly Detection Techniques and Applications
- Dental Research and COVID-19
- Heart Rate Variability and Autonomic Control
- Diabetes Management and Research
- Advanced Neural Network Applications
- Healthcare Systems and Public Health
- Telemedicine and Telehealth Implementation
- Medical Imaging Techniques and Applications
- Image and Video Quality Assessment
- Metabolism, Diabetes, and Cancer
- Diabetes Management and Education
- Cell Image Analysis Techniques
- Respiratory Support and Mechanisms
- Medical Imaging and Analysis
- Aerospace Engineering and Applications
- Oral Health Pathology and Treatment
- Blind Source Separation Techniques
- IoT Networks and Protocols
- Distributed and Parallel Computing Systems
Obuda University
2017-2025
Buda Health Center
2023
Automated Precision (United States)
2022
Innova (Hungary)
2021
Network Technologies (United States)
2020
Automated tasks, mainly in the biomedical field, help to develop new technics provide faster solutions for monitoring patients’ health status. For instance, they measure different types of human bio-signal, perform fast data analysis, and enable overall patient status monitoring. Eulerian Video Magnification (EVM) can reveal small-scale hidden changes real life such as color motion that are used detect actual pulse. However, due movement during measurement, EVM process will result wrong...
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 implementation of systems and training given deep neural network desired task. describes methods procedures currently in use, as well possible tools. Subsequently, autonomous aircraft system, which carries detection introduced. In section about detection, we will introduce TensorFlow lite-based...
Abstract Background In the twenty-first century, health systems have to cope with challenges posed by their rapidly changing environment. Among these changes, emergence of digital solutions is an opportunity make better, but also a compelling force change. Community dentistry one area care, where rapid technological development has potential for substantial performance improvement benefitting dental patients in terms access care and conveniance. Methods This study based on survey provided...
Information Technologies are enabling integrated healthcare processes with effective information exchange between the patient and medical professionals. ECG is one of key human vital signs, used by a vast number clinicians. Fast Healthcare Interoperability Resources (FHIR) created Health Level Seven International (HL7), Digital Imaging Communications in Medicine (DICOM), Standard communications protocol for computer assisted electrocardiography (SCP-ECG) representing major digital...
Background: Snus consumption is increasingly popular, mainly among the youth, due to promotion of tobacco industry and lack knowledge regarding its adverse effects. Even though some systemic complications are common knowledge, oral consequences rarely known. Aim: Therefore, objective this study evaluate health effects snus a highly exposed group adolescent athletes. Design: Participants received an interactive presentation, followed by interviews dental screenings young doctors establish...
Nowadays, Machine Learning applications are spreading widely in different science and research fields which gave, fact, the possibility to enhance results of all kind both, automated tasks further possible application areas. Autonomous smart driving cars presents one major that uses machine learning technics push inside car systems. Many types related this topic enabled real fully automate some parts process. Road lane detection, pedestrian approximation fastest road finding using real-time...
Nowadays, medical science is faced with many challenges that prevent doctors and researchers from working quickly efficiently. Such a challenge is, for example, the evaluation of digitized 3D pathological serial sections in consultative manner. This selected example brings to surface several obstacles, solution which can improve everyday work education other fields as well. One these difficulties overcoming distance, reducing need hardware resources since not all users be expected have most...
Nowadays the use of 3D visualization in pathology is already an existing technology, but its widespread hindered by several technical obstacles. One these memory required to store samples for display and computing capacity essential display. In our article, we present a solution developed us solve problems, which can be used minimize hardware resources visualization. Our development enables users perform on digitized pathological serial sections even with help their everyday laptop.
Remote healthcare services has become a must for many service providers and health device manufacturers. This process requires specialized devices collecting, storing, sending one or types of human bio-signals that are able to work short-or long-term pace basis. Since IT renaissance, traditional paper-based ways data collection became non-preferred utility due hard analysis, monitoring, even extraction procedures, these old technics does not enable storage keep track different patient's...
The following topics are dealt with: learning (artificial intelligence); neural nets; medical image processing; segmentation; mobile robots; biomedical optical imaging; feature extraction; biometrics (access control); face recognition; classification.
3D visualization has been present in medicine for several decades, just think of the CT (Computer Tomography) imaging modality, which is capable creating images examined object by determining radiation attenuation coefficient. In addition to equipment, there are many solutions collecting and displaying various data (MRI [Magnetic Resonance Imaging], PET [Positron Emission Tomography], OCT [Optical Computer Tomography]). digital pathology, not nearly as widespread previously mentioned...
ECG graphs show the electrical activity of heart in function time. It helps doctors to better understand actual patient. Before use computers medical field, was printed and analyzed on a paper format. Nowadays data is archived digital format many formats for storage are available. The present an important problem interoperability compatibility between different representations. A new technique solve issue furthermore store even stream-like became necessity assure service quality hospitals...
Graphics processing units (GPUs), mainly named as general-purpose computing on graphics (GPGPUs) became a widely used technology for many computer-aided procedures in different research or industry areas that require high algorithmic computation capabilities parallel tasks. In the field of bioinformatics and especially medical image processing, GPUs play an essential role to enable performance order facilitate tasks related processing. This paper highlights usage three-dimensional...
In this paper a fuzzy inference system in toolbox package MATLAB using two "fuzzified" control parameters for the fixed point transformation-based adaptive controller is applied strongly dynamic non-linear system, "van der Pol Oscillator". The presents comparison of operation classical and novel one combined with system.
Abstract In the 21st century, health systems have to cope with challenges posed by their rapidly changing socioeconomic, ecological, technological, demographic and epidemiological environment. Among these, use of digital solutions is an opportunity make better, but also a compelling force change, which disrupts traditional organizational operational framework medical care. This study based on survey dental care provided three units (Oral Medicine, Periodontology, Orthodontics) Department...
This paper describes a Mass Ventilation System (MVS) which serves as medical ventilator system. It can be used to ventilate large number of COVID-19 patients in parallel (5 – 50+) with personalized respiratory parameters. The system has been designed medically suitable for both non-invasive and invasive patient ventilation. protects healthcare workers its centralized air filtering solution, it increases the effectiveness networked communication operated temporary emergency hospital setup. In...
Nowadays, digital pathology is an unavoidable element in making a medical diagnosis. This discipline makes it possible to carry out studies that the past were only inaccurate or not at all. An example of such test volumetric measurement, which professional able determine volume piece tissue. New technologies as 3D visualization make perform examinations quickly and accurately. In this paper, we present some imaging modalities currently used medicine our own measurement solution, created with...
The technology behind the provision of software services for utilization all related geographical raw data and processed information is known as Location-based Services (LBS). which are provided based on geographic location presented in realtime; thus, medium transfer possible through wireless communication networks other forms network clients (wired network). Early 2020, impact fifth generation (5G) (LBS) has been rise with improvements level accuracy, speed delivery, Global Positioning...
The paper describes a monitoring hardware device, which can be used for patient movement during minimally invasive procedures (MIP). Tracking the of is difficult but very important task in operating room. During high precision/minimal surgery, not only surgical procedure, or mind state patient, also environmental effects need to considered. Our realized software and environment employs multi-sensor fusion based solution, where data taken from multiple axis accelerometer gyroscope sensor...