KardiaTool: An Integrated POC Solution for Non-invasive Diagnosis and Therapy Monitoring of Heart Failure Patients

The aim of this work is to present KardiaTool platform, an integrated Point of Care (POC) solution for noninvasive diagnosis and therapy monitoring of Heart Failure (HF) patients. The KardiaTool platform consists of two components, KardiaPOC and KardiaSoft. KardiaPOC is an easy to use portable device with a disposable Lab-on-Chip (LOC) for the rapid, accurate, non-invasive and simultaneous quantitative assessment of four HF related biomarkers, from saliva samples. KardiaSoft is a decision support software based on predictive modeling techniques that analyzes the POC data and other patient's data, and delivers information related to HF diagnosis and therapy monitoring. It is expected that identifying a source comparable to blood, for biomarker information extraction, such as saliva, that is cost-effective, less invasive, more convenient and acceptable for both patients and healthcare professionals would be beneficial for the healthcare community. In this work the architecture and the functionalities of the KardiaTool platform are presented

Right ventricle end-systolic and end-diastolic volume measurement modeling and simulation system using ultrasound transducers on pulmonary artery catheter for hemodynamic estimation of critically ill patients

The research field of this PhD thesis is the computational cardiology and more specifically the right ventricle’s volume measurement using ultrasound technology on the pulmonary artery catheter (PAC) for the effective management of critically ill patients. Hitherto, right cardiac catheterization with a pulmonary artery catheter provides only intracavity pressure measurements. Several studies showed that the use of PAC in critically illness does not make any effect in patient management. It was found that for the reliable management of critical ill patients in intensive care unit (ICU), or in infarctions unit, or even during serious surgery, pressures, is the right ventricle end-diastolic and end-systolic volume. The combination of those parameters with pressures provides obviously better estimation and effective hemodynamic management of critically ill patients seeking in mortality and morbidity reduction. For that reason, a right ventricle’s volume measurement system was modeled from cardiac MRIs with ultrasound simulation. The fact that there is not any intraventricular volume calculation method combined with right catheterization, makes this PhD thesis innovative as the right ventricle’s volume and the hemodynamic management of critically ill patients regards.Το πεδίο έρευνας της παρούσας διδακτορικής διατριβής είναι η υπολογιστική καρδιολογία και συγκεκριμένα η μέτρηση όγκου δεξιάς κοιλίας με χρήση υπερήχων σε καθετήρα πνευμονικής αρτηρίας (ΚΠΑ) για την αποτελεσματικότερη διαχείριση των βαριά πασχόντων ασθενών. Μέχρι τώρα ο ΚΠΑ μετράει μόνο τις πιέσεις ενδοκοιλοτικά. Τα αποτελέσματα από τη χρήση του δεν είναι επαρκώς ενθαρρυντικά. Έχει βρεθεί ότι για την καλύτερη αντιμετώπιση των βαριά πασχόντων στην μονάδα εντατικής θεραπείας (ΜΕΘ), ή στην μονάδα εμφραγμάτων, ή ακόμα και κατά την προετοιμασία ή τη διάρκεια μιας σοβαρής χειρουργικής επέμβασης, σημαντική παράμετρος πέρα από την πίεση είναι ο τελοσυστολικός και ο τελοδιαστολικός όγκος της δεξιάς κοιλίας. Αυτές οι παράμετροι συνδυαζόμενες με τις πιέσεις, προσφέρουν σαφώς καλύτερη εκτίμηση και αποτελεσματικότερη αιμοδυναμική διαχείριση των βαριά πασχόντων ασθενών με απώτερο στόχο την ελάττωση της νοσηρότητας και θνησιμότητας. Γι’ αυτό το λόγο μοντελοποιήθηκε σύστημα μέτρησης όγκου δεξιάς κοιλίας από εικόνες MRI (μαγνητικού συντονισμού) με προσομοίωση υπερήχων. Επίσης το γεγονός ότι δεν υπάρχει μέθοδος υπολογισμού όγκου ενδοκοιλιακά που να συνδυάζεται με τον δεξιό καθετηριασμό, καθιστά την παρούσα διατριβή ως καινοτόμα αφ’ ενός στον υπολογισμό του όγκου της δεξιάς κοιλίας και αφ’ ετέρου στην διαχείριση της αιμοδυναμικής κατάστασης των βαριά πασχόντων

Design and Implementation of a Precision Oxygen Delivery Control System in Facial Masks

Oxygen inflammation cases have been constantly recorded, ending up in serious burns for the patients and/or even fire breakouts in hospitals. The present work reports the development of a precision oxygen inflammation prevention system, which could be utilized during oxygen therapy. The present approach relies on the utilization of specific contact points on a mask attached to a patient's skin. At the same time, a control system permits or interrupts oxygen flow. Since oxygen flow response times are crucial, capacitive touch sensor technology has been chosen. The final flow control is performed by a properly programed micro-controller. The methodology described in the present work, is expected to have a positive impact in patient management as well as result in savings concerning oxygen reserves in hospital management. Further on, the present apparatus is fully compatible with oxygen masks utilized in a hospital or primary health provider

Intelligent management of brain markers for early prognosis of the spatiotemporal growth of gliomas

Summarization: The diagnosis and treatment of brain gliomas has still many weaknesses and is followed by a high mortality rate and very low life expectancy. Facing towards the tendency for a personalized diagnosis and therapy, any effort should be focused to the spatiotemporal growth of the tumor for the early prognosis and treatment of the gliomas. In the above context, this study aims to analyze the brain markers choline (Cho) and fractional anisotropy (FA) in order to determine whether they are reliable indices of glioma presence in a brain region, before this region is damaged to such an extent that will be visible in the classic magnetic resonance imaging. This study is based on the experimental analysis of Cho from the spectrum of metabolites and FA from the diffusion tensor image, aiming ultimately to the improvement of the diagnosis and thus the therapy and the life expectancy rate of the patients suffering from glioma.Παρουσιάστηκε στο: 26th International Conference on Tools with Artificial Intelligence (ICTAI

A platform for health record management of the conscripts in the Hellenic Navy

Summarization: eMass project aims to digitalize the medical examination procedure of recruitment phase of conscripts in the Hellenic Navy. eMass integrates recruits’ Electronic Health Record (EHR), while allows a pre-screening test, through portable telemedicine equipment. The data will be exploited to assess the individual’s cardiovascular risk through appropriate digital tools and algorithms. The eMass digital platform, will be accessible to health experts involved in the recruitment procedure for further assessment and processing. Recruits’ personal data is stored in the database encrypted using Advanced Encryption Standard (AES). eMass solution contributes to beneficial management and medical data analysis, preventing inessential physical or medical examinations minimizing danger of possible errors and reducing time-consuming processes. Moreover, eMass exploits Electronic Health Record data through a machine-learning based cardiovascular risk assessment tool.Appearing in: Public Health and Informatic