A5056768194- IoT and Edge/Fog Computing
- Biometric Identification and Security
- User Authentication and Security Systems
- Context-Aware Activity Recognition Systems
- Face recognition and analysis
- Opportunistic and Delay-Tolerant Networks
- Electronic Health Records Systems
- Diabetes Management and Research
- Cooperative Communication and Network Coding
- Wireless Body Area Networks
- Non-Invasive Vital Sign Monitoring
- Pharmacogenetics and Drug Metabolism
- Advanced MIMO Systems Optimization
- Speech and Audio Processing
- Telemedicine and Telehealth Implementation
- Pharmaceutical Practices and Patient Outcomes
- Advanced Neural Network Applications
- Diabetes Management and Education
- Complementary and Alternative Medicine Studies
- Information and Cyber Security
- Hyperglycemia and glycemic control in critically ill and hospitalized patients
- Mobile Health and mHealth Applications
- Computational Drug Discovery Methods
- Speech Recognition and Synthesis
- Cloud Data Security Solutions
Foundation for Research and Technology Hellas
2013-2023
AbbVie (Germany)
2016-2022
FORTH Institute of Computer Science
2015-2022
Foundation for Biomedical Research
2021
FORTH Institute of Electronic Structure and Laser
2019
Hella (Germany)
2015
Hellenic Mediterranean University
2014
University of Cyprus
2011
University of Crete
2009
Fall detection receives significant attention in the field of preventive medicine, wellness provision and assisted living, especially for elderly. As a result, numerous commercial fall systems exist to date most them use accelerometers and/ or gyroscopes attached on person's body as primary signal sources. These either discrete sensors part product designed specifically this task that are embedded mobile devices such smartphones. The latter approach has advantage offering well tested widely...
This report details the approach taken to providing a dataset allowing for analyses on performance of recently developed assays amyloid beta (Aβ) peptides in plasma and extent which they improve prediction positivity.
Fall detection is receiving significant attention in the field of preventive medicine, wellness management and assisted living, especially for elderly. As a result, several fall systems are reported research literature or exist as commercial systems. Most them use accelerometers and/ gyroscopes attached on person's body primary signal sources. These either discrete sensors part product designed specifically this task that embedded mobile devices such smartphones. The latter approach has...
Diabetes, a metabolic disorder, has reached epidemic proportions in developed countries. The disease two main forms: type 1 and 2. Disease management entails administration of insulin combination with careful blood glucose monitoring (type 1) or involves the adjustment diet exercise level, use oral anti-diabetic drugs, to control sugar 2).State-of-the-art technologies have potential assist healthcare professionals, patients, informal carers better manage diabetes therapy, help patients...
The interconnection of heterogeneous data sources could provide a comprehensive picture health parameters, thereby triggering an intervention by the medical staff upon detection conditions that may lead to deterioration, thus realizing preventive care. Supported Internet Things techn
The advancements in healthcare practice have brought to the fore need for flexible access health-related information and created an ever-growing demand design development of data management infrastructures translational personalized medicine. In this paper, we present solution implemented MyHealthAvatar EU research project, a project that attempts create digital representation patient's health status. platform is capable aggregating several knowledge sources relevant provision individualized...
Due to the advent of novel technologies and digital opportunities allowing simplify user lives, healthcare is increasingly evolving towards digitalization. This represent a great opportunity on one side but it also exposes organizations multiple threats (both not) that may lead an attacker compromise security medial processes potentially patients' safety. Today technical cybersecurity countermeasures are used protect confidentiality, integrity availability data information systems -...
This work aims to provide information, guidelines, established practices and standards, an extensive evaluation on new promising technologies for the implementation of a secure information sharing platform health-related data. We focus strictly technical aspects specifically health studying innovative techniques within health-care domain, we describe our solution evaluate use blockchain methodologically integrating implementation. To do so, analyze concept PANACEA project that facilitates...
The regulation policies implemented, the characteristics of vaccines, and evolution virus continue to play a significant role in progression SARS-CoV-2 pandemic. Numerous research articles have proposed using mathematical models predict outcomes different scenarios, with aim improving awareness informing policy-making. In this work, we propose an expansion classical SEIR epidemiological model that is designed fit complex data COVID-19. includes compartments for vaccinated, asymptomatic,...
Herbal medicinal products (HMPs) are the subject of increasing interest regarding their benefits for health. However, a serious concern is potential appearance clinically significant drug⁻herb interactions in patients. This work provides an overview and evaluation clinical significance. We discuss how personalized health services mobile applications can utilize tools that provide essential information to patients avoid drug⁻HMP interactions. There specific mention PharmActa, dedicated app...
The digital avatar is a vision for the representation of personal health status in body centric views. It designed as an integrated facility that allows collection of, access to and sharing life-long consistent data. A number Virtual Physiological Human (VPH) communities have started movement this direction by creating patient road-map supporting data infrastructures. As innovative concept, impact personalized medicine treatment yet be clear. This requires focused concerted effort addressing...
The most commonly used method for user authentication in ICT services or systems is the application of identification tools such as passwords personal numbers (PINs). rapid development technology regarding smart devices (laptops, tablets and smartphones) has allowed also advance hardware components that capture several biometric traits fingerprints voice. These are aiming among others to overcome weaknesses flaws password usage under prism improved with higher level security, privacy...
Unnamed Aerial Vehicle (UAV) - based remote sensing is a promising technology that being applied for inspecting live scenes from high altitudes (e.g., surveillance and recognizing emergencies). The evolution of hardware software technologies in the last few years has generated additional interest embedded systems research its implementation energy-independent UAVs sensing. Alongside, ultra-high-resolution optical sensors are mandatory acquiring high-resolution images which necessary accurate...
Congestive heart failure (CHF) occurs when the cannot provide necessary cardiac output for metabolic needs of human body. The most prominent symptoms are increased venous pressure, abnormal and breathing rate, tiredness leg swelling. Most important pathogenesis influence are: age, gender, high blood alcohol smoking, sedentary lifestyle diet, genetic predisposition family history, diabetes, atherosclerosis. Common causes considered to be valvular disease, coronary disease hypertension. CHF...
Interference, in wireless networks, is a central phenomenon when multiple uncoordinated links share common communication medium. The study of the interference channel was initiated by Shannon 1961 and since then this problem has been thoroughly elaborated at Information theoretic level but its characterization still remains an open issue. When medium effect crucial limiting factor for network performance. In work, using cross layer cooperative techniques, we how to compensate context...
Humans have various features that differentiates one person from another which can be used to identify an individual for security purposes. These biometrics authenticate or verify a person's identity and sorted in two classes, physiological behavioural. In this article, the authors present their results of experimentation on publicly available facial images efficiency prototype version SpeechXRays, multi-modal biometric system uses audio-visual characteristics user authentication eHealth...
Brain computer interfaces (BCIs) that are focused on navigation applications have been developed for patients suffering from severe paralysis to offer a means of autonomy. In SSVEP-based BCIs, users focus their gaze flickering targets, which correspond specific commands. Besides the accuracy target identification, several additional aspects important development practical and useful BCI, such as low cost, ease use robustness everyday-life conditions. previous paper, we presented an BCI...
Personalized healthcare systems support the provision of timely and appropriate information regarding options treatment alternatives. Especially for patients that receive multi-drug treatments a key issue is minimization risk adverse effects due to drug-drug interactions (DDIs). DDIs may be result doctor prescribed drugs but also self-medication conventional drugs, alternative medicines, food habits, alcohol or smoking. It therefore crucial personalized health systems, apart from assisting...
The new era in medicine focuses on the development of tools and applications that empower citizens towards advanced health care practices personalized approaches. Despite vast achievements pharmaceutical industry with innovative drugs high specificity regarding their pharmacological mechanism action, use complementary alternative (CAM) products worldwide, is rise. CAM products, which are usually plant origin (herbal medicines), generally advertised as natural thus harmless minimum side...
In this paper we present key factors for the understanding and acting over behaviors, in order to facilitate healthier aging wellbeing: motivational theories, health behavioral change theories physiological constraints of aging. The successful deployment these related can be acco
Drifted by the hype of new and efficient machine learning artificial intelligence models aiming to unlock information wealth hidden inside heterogeneous datasets across different markets disciplines, healthcare data are in center novel technological advancements predictive health diagnostics, remote healthcare, assistive leaving wellbeing. Nevertheless, this emerging market has underlined necessity developing methods updating existing ones for preserving privacy their owners, as well as,...