Aristotle University of Thessaloniki - Lab of Medical Informatics
The Laboratory of Medical Informatics (LOMI) at AUTH was founded in 1990 within the Medical School (recently renamed School of Health Sciences).
LOMI is one of the major research and development centres in Medical Informatics and Biomedical Engineering both in the Greek and European arena. LOMI's main research areas, within the framework of medical information management and processing, include:
- biomedical signal/image analysis, towards the investigation of markers and feature schemes that predict pathological initiation and progress. Examples include the ECG/HRV for cardiac diseases, EEG/HRV for sleep analysis, multisignal analysis in ICU, medical imaging for cardiac and mental disorders
- knowledge engineering and decision support systems, including semantic representations of medical evidence (e.g. for adverse events and patient safety) and data driven approaches (e.g., for treatment effect / compliance detection)
- telehealth applications and pervasive healthcare systems, that integrate sensors, mobile systems, information processing and information flow management for the support of patients and carers.
As part of the Medical Department of the School of Health Sciences of AUTH, the research team has strong collaboration with University Clinics in the design, conduct and analyses of clinical studies. Also, the Lab has been running since 1998 the only graduate programme in Greece in Medical Informatics, under the auspices of the Greek ministry of education and the EU. The Lab of Medical Informatics has participated as core partner or scientific coordinator in more than 20 National and European projects.
Workpackage Leader of:
- WP1. Requirements Specification. Lead the preparation of the Deliverable “Requirements Specifications Report” of the PINCLOUD envisioned system; Responsible for the development and maintenance of the Project website.
Contribution as workpackage member in:
- WP3. Electronic Personal Health Record. Contribution to the design and development of the PINCLOUD personal health record (PHR).
- WP4. Patient Monitoring Platform. Contribution to the design and development of the PINCLOUD patient monitoring platform (PMP).
- WP6. Quality assurance, integration and testing. Contribution to the development and assessment of the integrated PINCLOUD cloud platform.
- WP7. User training. Contribution to the design and development of the e-learning courses.
- WP8. Pilots. Contribution to the evaluation of the overall system for the assessment of its user acceptance.
- WP9. Sociotechnical and financial assessment and diffusion. Contribution to dissemination of the Project.
AUTH’s cross-functional research team with medical and technical experts has been very active in the development of telehealth systems for patients with chronic diseases in the last 8 years. Application concept development, user interface development, biomedical recording and information management/processing integrated systems development, vital signal analysis, medical professional decision support systems as well as system evaluation through pilots in real-life settings, have been the main activities in the context of the research projects CHS, Panaceia-iTV, SENSATION, INTERLIFE, PSIP, HeartCycle, and REMOTE, while LOMI has been recently involved in the new EU projects ACT, ITECH, WELCOME and SPLENDID.
Prof. Nicos Maglaveras received the diploma in electrical engineering from the Aristotle University of Thessaloniki (AUTH), Greece, in 1982, and the M.Sc. and Ph.D. degrees in electrical engineering with an emphasis in biomedical engineering from Northwestern University, Evanston, IL, in 1985 and 1988, respectively. He is currently Director of with the Lab of Medical Informatics, AUTH. His current research interests include nonlinear biological systems simulation, cardiovascular electrophysiology, neurosciences, biomedical informatics‐ehealth, biosignal analysis, medical imaging, personalized health systems and neural networks. He has published more than 170 papers in peer reviewed international journals, books and conference proceedings. He has developed graduate and undergraduate courses in the areas of biomedical informatics, biomedical signal processing, and biological systems simulation. He has served as a Reviewer in CEC AIM technical reviews and as reviewer, associate editor and editorial board member in a number of international journals, and participated as Coordinator or Core Partner in over 22 national and EU‐funded competitive research projects. For the period 2008‐2009 Prof. Maglaveras has been elected as the president of the European Alliance of Medical and Biological Engineering & Science (EAMBES). Prof. Maglaveras has been a member of the IEEE, AMIA, the Greek Technical Chamber, the New York Academy of Sciences, the CEN/TC251, and Eta Kappa Nu.
Dr Ioanna Chouvarda received her diploma in Electrical and Computer Eng from the Polytechnic School of Aristotle University in 1993 and completed her PhD studies in Medical Informatics in 2001. During her PhD, she worked on analysis and modelling of cardiac signals, mainly focusing on time-frequency analysis methods. During her postdoc research, she has been closely cooperating in relevant issues with university labs, clinics and research institutes. She is currently a Lecturer at the Lab of Medical Informatics at the School of Health Science of AUTH. She has been involved in numerous research projects in the field of eHealth and health research. Her academic tasks include teaching in undergraduate and postgraduate courses in medical informatics, as well as supervision of postgraduate theses. Her main areas of interest include: biomedical and biological signal processing and modelling of physiological systems, medical information management and ehealth. She has authored or coauthored more than 120 publications in peer-reviewed international journals, book chapters and conference proceedings. Dr Chouvarda is a member of IEEE (EMBS, ComSoc and WIE) and the Technical Chamber of Greece.