A5013001489- EEG and Brain-Computer Interfaces
- Gaze Tracking and Assistive Technology
- ECG Monitoring and Analysis
- Non-Invasive Vital Sign Monitoring
- Sleep and Work-Related Fatigue
- Dental Research and COVID-19
- Healthcare professionals’ stress and burnout
- Hand Gesture Recognition Systems
- Industrial Vision Systems and Defect Detection
- Augmented Reality Applications
- Digital Imaging for Blood Diseases
- Heart Rate Variability and Autonomic Control
- Tactile and Sensory Interactions
- Video Surveillance and Tracking Methods
- Cell Image Analysis Techniques
- Mobile Health and mHealth Applications
- Autonomous Vehicle Technology and Safety
- COVID-19 and Mental Health
- Remote Sensing and LiDAR Applications
- Machine Learning and Data Classification
- Computational Drug Discovery Methods
- Sports injuries and prevention
- Telemedicine and Telehealth Implementation
- Bacterial Identification and Susceptibility Testing
- Dental Health and Care Utilization
Silesian University of Technology
2020-2024
Medical University of Silesia
2021
The operation of a motor vehicle under the influence alcohol poses significant risk to safety driver, passengers, and other road users. Electrooculographic (EOG) signal analysis can be used understand movements behavior eyes while driving. In our study, we smart glasses collect EOG data from nine participants who driving simulator. Their level alcoholic intoxication was simulated by drunk vision goggles at three different levels inebration (0, 1, 2, 3‰ blood content). We machine learning...
Airborne Laser Scanning (ALS) technology can be used to identify features of terrain relief in forested areas, possibly leading the discovery previously unknown archaeological monuments. Spatial interpretation numerous objects with various shapes and sizes is a difficult challenge for archaeologists. Mapping structures multiple elements whose area exceed dozens hectares, such as ancient agricultural field systems, very time-consuming. These sites are composed large number embanked fields,...
Background: Dental schools are considered to be a very stressful environment; the stress levels of dental students higher than those general population. The aim this study was assess level among while performing specific procedures. Methods: A survey conducted 257 participants. We used an original questionnaire, which consisted 14 questions assigned three categories: I—Diagnosis, II—Caries Treatment, and III—Endodontic Treatment. Each participant marked their perceived during performed...
Background and objective: Driving a car is complex activity which involves movements of the whole body. Many studies on drivers’ behavior are conducted to improve road traffic safety. Such involve registration processing multiple signals, such as electroencephalography (EEG), electrooculography (EOG) images driver’s face. In our research, we attempt develop classifier scenarios related learning drive based data obtained in real conditions via smart glasses. approach, try minimize number...
Driving a car is an activity that became necessary for exploration, even when living in the present world. Research exploring topic of safety on roads has therefore become increasingly relevant. In this paper, we propose recognition algorithm based physiological signals acquired from JINS MEME ES_R smart glasses (electrooculography, acceleration and angular velocity) to classify four commonly encountered road types: city road, highway, housing estate undeveloped area. Data 30 drivers were...
Analyzing biomedical data is a complex task that requires specialized knowledge. The development of knowledge and technology in the field deep machine learning creates an opportunity to try transfer human computer. In turn, this fact influences systems for automatic evaluation patient’s health based on acquired from sensors. Electrocardiography (ECG) technique enables visualizing electrical activity heart noninvasive way, using electrodes placed surface skin. This signal carries lot...
Heartbeat detection is an essential part of cardiac signal analysis because it recognized as a representative measure function. The gold standard for heartbeat to locate QRS complexes in electrocardiograms. Due the development sensors and information communication technologies (ICT), seismocardiography (SCG) becoming viable alternative electrocardiography monitor heart rate. In this work, we propose system detecting based on seismocardiograms using deep learning methods. study was carried...
Driving after consuming alcohol can be dangerous, as it negatively affects judgement, reaction time, coordination, and decision-making abilities, increasing the risk of accidents putting oneself other road users in danger. Therefore, is critical to establish reliable accurate methods detect assess intoxication levels. One such approach electrooculography (EOG), a non-invasive technique that measures eye movements, which has been linked levels holds promise method estimating them. In recent...
Analyzing biomedical data is a complex task and requires specialized knowledge. The development of knowledge technology in the field deep machine learning creates an opportunity to try transfer human computer. This fact, turn, influences systems for automatic evaluation patient's health based on acquired from sensors. Electrocardiography (ECG) technique that enables visualise electrical activity heart noninvasive way, using electrodes placed surface skin. signal carries lot information about...
The progress in telemedicine can be observed globally and locally. Technological changes telecommunications systems are intertwined with developments telemedicine. recent COVID-19 pandemic has expanded the potential of teleconsultations telediagnosis solutions all areas medicine. This article presents: (1) an overview milestones development that allow (2) analysis experiences last seven conferences eHealth Poland. have grown steadily Poland since their inception late 1990s. An exemplary...
A peripheral blood smear is a basic test for hematological disease diagnosis. This performed manually in many places worldwide, which requires both time and qualified staff. Large laboratories are equipped with digital morphology analyzers, some of based on deep learning methods. However, it difficult to explain scientists how they work. In this paper, we proposed add an explanatory factor enhance the interpretability models leukocyte classification.10 297 single images leukocytes obtained...
The knee joint, being the largest joint in human body, is responsible for a great percentage of leg movements. diagnosis state joints usually based on X-ray scan, ultrasound imaging, computerized tomography (CT), magnetic resonance imaging (MRI), or arthroscopy. In this study, we aimed to create an inexpensive, portable device recording sound produced by and dedicated application its analysis. During examined fourteen volunteers different ages, including those who had injury. effectively...
The pandemic declared in many countries 2020 due to COVID-19 led the freezing of economies and introduction distance learning both schools universities. This unusual situation has affected mental state citizens, which potential lead development post-traumatic stress depression. study aimed assess level dental students context outbreak SARS-CoV-2 virus pandemic. A survey on PSS-10 scale was prepared measure perceived stress. included 164 at Faculty Medical Sciences University Silesia...
Caries is a common disease of hard tissues teeth which results in dental cavities, are usually replaced by fillings.Matching the color filling subjective assessment.In this study, we conducted analysis GC Gradia Direct shade guide lighting conditions office.Color measurement was performed using Color Grab mobile app and were acquired as values RGB (red, green, blue) HSV (hue, saturation, value) values.The indicate possibility identifying each tooth most prominent changes and/or components.