- EEG and Brain-Computer Interfaces
- Telemedicine and Telehealth Implementation
- Mobile Health and mHealth Applications
- Mobile Ad Hoc Networks
- IoT and Edge/Fog Computing
- Wireless Body Area Networks
- ICT Impact and Policies
- Functional Brain Connectivity Studies
- Wireless Networks and Protocols
- Context-Aware Activity Recognition Systems
- Advanced MRI Techniques and Applications
- Endometrial and Cervical Cancer Treatments
- Surgical Simulation and Training
- Energy Efficient Wireless Sensor Networks
- Uterine Myomas and Treatments
- ECG Monitoring and Analysis
- Healthcare Technology and Patient Monitoring
- Healthcare Systems and Reforms
- Neural dynamics and brain function
- Chronic Disease Management Strategies
- Gaze Tracking and Assistive Technology
- Non-Invasive Vital Sign Monitoring
- Image and Signal Denoising Methods
- Vehicular Ad Hoc Networks (VANETs)
- Digital Innovation in Industries
University of Western Macedonia
2015-2025
Vidavo (Greece)
2005-2020
Human Media
2010-2011
Aristotle University of Thessaloniki
1991-2006
South Eastern Europe Telecommunications Academy
2002-2006
Athens Medical Center
2002
Recently, there has been a growing research interest in utilizing the electroencephalogram (EEG) as non-invasive diagnostic tool for neurodegenerative diseases. This article provides detailed description of resting-state EEG dataset individuals with Alzheimer’s disease and frontotemporal dementia, healthy controls. The was collected using clinical system 19 scalp electrodes while participants were resting state their eyes closed. data collection process included rigorous quality control...
The challenge of providing quality healthcare to underserved populations in low- and middle-income countries (LMICs) has attracted increasing attention from information communication technology (ICT) professionals interested societal impact through their work. Sana is an organisation hosted at the Institute for Medical Engineering Science Massachusetts Technology that was established out this interest. Over past several years, developed a model organising mobile health bootcamp hackathon...
Alzheimer's Disease (AD) is a neurogenerative disorder and the most common type of dementia with rapidly increasing world prevalence. In this paper, ability several statistical spectral features to detect AD from electroencephalographic (EEG) recordings evaluated. For purpose, clinical EEG 14 patients (8 mild 6 moderate AD) 10 healthy, age-matched individuals are analyzed. The signals initially segmented in nonoverlapping epochs different lengths ranging 5 s 12 s. Then, group calculated for...
Recent vehicular networking activities include public vehicle to vehicle/infrastructure (V2X) large scale deployment, machine-to-machine (M2M) integration scenarios and more automotive applications. eHealth is about the use of Internet disseminate health related information, one promising Things (IoT) Combining record transmit a patient's vital signs special telemedicine application that helps hospital resident professionals optimally prepare admittance. From perspective, this typical...
Background/Objectives: Maternal health risks remain one of the critical challenges in world, contributing much to maternal and infant morbidity mortality, especially most vulnerable populations. In modern era, with recent progress area artificial intelligence machine learning, promise has emerged regard achieving goal early risk detection its management. This research is set out relate high-risk, low-risk, mid-risk using learning algorithms based on physiological data. Materials Methods: The...
Research interest in the application of electroencephalogram (EEG) as a non-invasive diagnostic tool for automated detection neurodegenerative diseases is growing. Open-access datasets have become crucial researchers developing such methodologies. Our previously published open-access dataset resting-state (eyes-closed) EEG recordings from patients with Alzheimer’s disease (AD), frontotemporal dementia (FTD), and cognitively normal (CN) controls has attracted significant attention. In this...
DAO Diseases of Aquatic Organisms Contact the journal Facebook Twitter RSS Mailing List Subscribe to our mailing list via Mailchimp HomeLatest VolumeAbout JournalEditorsSpecials 71:19-24 (2006) - doi:10.3354/dao071019 Efficacy a Listonella anguillarum (syn. Vibrio anguillarum) vaccine for juvenile sea bass Dicentrarchus labrax Panagiotis Angelidis1,*, Dimitrios Karagiannis1, Elizabeth M. Crump2 1Laboratory Ichthyology and Ichthyopathology, Aristotle University Thessaloniki, PO Box 395, 54124...
Electrooculographic (EOG) artefact is one of the most common contaminations Electroencephalographic (EEG) recordings. The corruption EEG characteristics from Blinking Artefacts (BAs) affects results signal processing methods and also impairs visual analysis EEGs. In this paper, our scope was a comparative performance three standard denoising like continuous Empirical Mode Decomposition (EMD), Discrete Wavelet Transform (DWT) Kalman Filter (KF). order to evaluate EMD, DWT KF noise reduction...
According to scientific reports, the main and most common Covid-19 symptoms are fever shortness of breath. Therefore, monitoring vitals such as temperature, breathing heart rate blood oxygen saturation is essence. Our team has designed developed a wrist-worn wearable device that continuously monitors relevant vital signs with aim prioritize triage patients in Emergency Department.
We present in this paper the evaluation of energy consumption PRCSMA, an 802.11-based medium access control protocol designed to coordinate retransmissions from relays a wireless network implementing Cooperative Automatic Retransmission Request (C-ARQ) scheme. A comparison terms efficiency with non-cooperative ARQ schemes (retransmissions performed only source) and ideal C-ARQ (with perfect scheduling among relays) is included paper. The main results show conditions under which scheme PRCSMA...
The conditions for zeroing the mutual flux between two closely spaced coil antennas are examined. analysis is expanded to examine case of multiple linear antenna coils. Array used in many areas including magnetic resonance imaging (MRI). Theoretical and experimental results presented compared. Good agreement theory measurements has been confirmed. A two-dimensional receiving array proposed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>