<p>Hyperspectral imaging is widely used for obtaining optical information of light absorbers (e.g. biochemical composition) in a variety of specimens or tissues in a label-free manner. Acquiring and processing spectral data using hyperspectral imaging usually requires advanced instrumentation such as spectrometers, spectrographs or tunable color filters, which are not easily adaptable in developing instrumentation for field-based applications. Also, use of only RGB information from conventional cameras is not sufficient to obtain a reliable correlation with the actual content of the analyte of interest. We propose a new concept of ‘virtual hyperspectral imaging’ to reconstruct the full reflectance spectra from RGB image data. This allows us to use only RGB image data to determine detailed spatial distributions of analytes of interest. More importantly, it simplifies instrumentation without requiring bulky and expensive hardware. Using a data-driven approach, we apply multivariate regression to reconstruct hyperspectral reflectance image data from RGB images obtained using a conventional camera or a smartphone. </p> <p> </p> <p>In developing a reliable reconstruction matrix, it is critical to obtain a training data set of the specimen of study under the same optical geometry since the spectral reflectance and absorbance is sensitive to the detection and illumination parameters. We designed an image-guided hyperspectral system that can acquire both hyperspectral reflectance and RGB data sets under the same imaging configuration to minimize any discrepancies in the hyperspectral reflectance data acquired using different optical sensing geometries. In our technology development, a telecentric lens that is commonly used in machine vision systems but rarely in bioimaging, serves as a key component for reducing unwanted scattering in biological tissue due to its highly anisotropic scattering properties, by acting as a back-directional gating component to suppress diffuse light. We evaluate our spectrometer-less reflectance imaging method using RGB-based hyperspectral reconstruction algorithm for integration into a smartphone application for non-invasive hemoglobin analysis for anemia risk assessment in communities with limited access to central laboratory tests.</p>

To perform a physical performance test is a good way to keep track of one’s health and can be beneficial to find evidence of deviations in the body. This thesis focuses on the development of a mobile-based heart rate algorithm that can be used with the Queens College Step Test, on the behalf of Mobistudy. Mobistudy wants to include such a test in their mobile application which aims to become a tool for researchers to use to gather data. The algorithm uses the mobile device’s camera to collect data from the user’s finger and uses that data to calculate the heart rate. The algorithm was first tested with data collected during the development and the results has an average error of less than 5% and a standard deviation of less than 3%. Two participants between the age of 20-25 performed three sets each of the Queens College Step Test and the results showed that the algorithm was accurate in its estimation of the heart rate after the test. / Genom att utföra ett test av ens fysiska prestanda kan man utvärdera ens hälsostatus och upptäcka indikationer på avvikelser i kroppen. Syftet med detta arbete är att utveckla en mobilbaserad algoritm som kan beräkna och uppskatta ens puls när man utför the Queens College Step Test på begäran av Mobistudy. Mobistudy vill inkludera detta test i deras mobilapplikation som fokuserar på att kunna användas som ett verktyg inom forskning för att samla in data. Algoritmen använder sig av mobilens kamera för att samla in data från användarens finger och använder den insamlade data för att beräkna pulsen. Algoritmen testades först gentemot data som samlades in vid utvecklingsstadiet och resultatet visade på att genomsnittliga felet var under 5% samt att standardavvikelsen var under 3%. Två deltagare mellan åldern 20 och 25 utförde tre tester var utav the Queens College Step Test och resultatet visade att algoritmen var tillräckligt noggrann i sin uppskattning av pulsen efter ett utfört test.

Medical researchers are exploring the potential of patients’ mobile phones and wearables for medical studies. The contribution of volunteers in a form of citizen science, where citizens donate their data for research purposes, can enable studies on a large scale. This research area, known as mobile health, often relies on shared data such as tracked steps or self- reporting forms. Privacy, transparency and trust play a fundamental role in the interaction of users with related platforms that agglomerate medical studies.This project explores privacy concerns of potential users of mobile health citizen science apps, summarises similar user patterns and analyses the impact of transparency enhancing tools on the users’ trust. In this context, a prototype with different features that aim to increase the transparency is designed, tested and evaluated. The results indicate how users perceive the importance and the generated trust of the proposed features and provide recommendations for data donation platforms.

No description available.

Medical-grade ultrasound devices are now pocket sized and can be easily transported to underserved parts of the world, allowing health care providers to have the tools to optimize diagnoses, inform management plans, and improve patient outcomes in remote locations. Other great advances in technology have recently occurred, such as artificial intelligence applied to mobile health devices and cloud computing, as augmented reality instructions make these devices more user friendly and readily applicable across health care encounters. However, broader awareness of the impact of these mobile health technologies is needed among health care providers, along with training on how to use them in valid and reproducible environments, for accurate diagnosis and treatment. This article provides a summary of a Mayo International Health Program journey to Bwindi, Uganda, with a portable mobile health unit. This article shows how point-of-care ultrasonography and other technologies can benefit remote clinical diagnosis and management in underserved areas around the world.

To date, there are no existing models for evaluating foreign markets, adapted to mobile health (mHealth) consumer medical device (CMD) start-ups seeking to launch their products or services in new countries. This calls for the development of a suitable international market selection (IMS) model that captures the complexity of and opportunities for mHealth. mHealth is a sub-segment of electronic health (eHealth), which furthermore is part of the wider phenomenon of digital health. mHealth covers medical and public health practice supported by mobile devices. This paper proposes a multidimensional IMS model comprising both macro and micro level factors. Our specialized approach integrates tools and theories by a number of researchers and is showcased in the assessment of the European Union (EU) for the mHealth CMD company AdhereBox. AdhereBox is a Swedish start-up that has developed a CMD consisting of a “smart” pillbox and a complementary mobile software application. We propose a number of dimensions that should be evaluated when assessing the potential  of the different EU health care markets in regards to mHealth CMD start-ups. Our suggested approach includes factors which are categorized into two groups of parameters: (i) stakeholders (which comprises consumers, providers, payers, distributors and collaborators) and (ii) barriers &amp; enablers (consisting of incentives, reimbursement models, technological infrastructure, regulations and existing solutions). In summary, our study identifies critical factors that mHealth CMD start-ups should consider when evaluating foreign markets in an IMS. By applying our IMS model on AdhereBox, we illustrate how our model can be used, its parameters assessed and the interdependencies between these analyzed in order to arrive at a set of recommendations for further market analysis and conclusions on country attractiveness. As such, we believe that our research could provide valuable insights and guidelines for firms within mHealth seeking to expand their business within the EU, as well as for governmental organizations that want to better leverage and stimulate the potentials of a flourishing domestic mHealth ecosystem.

Die hohe Müttersterblichkeit in Entwicklungsländern ist zum Teil auf indirekte Faktoren wie Analphabetismus und eingeschränkten Zugang zu Gesundheitsinformationen für Mütter zurückzuführen. Während gebildete Frauen auf Gesundheitsinformationen über Online-Plattformen und mHealth-Apps zugreifen können, müssen Analphabetinnen diese in Gesundheitseinrichtungen abrufen, was aufgrund der Transportkosten oft nicht möglich ist. Mobilfunktechnologie hat in der Gesundheitsversorgung Chancen für ressourcenarme Gemeinschaften eröffnet, die sonst nicht von den digitalen Technologien profitiert hätten. Obwohl Mobilfunktechnologie in der Müttergesundheit eingesetzt wird, können die meisten Maßnahmen nicht von Analphabeten genutzt werden, verwenden Sicherheitsmodelle die nicht auf den Kontext von Entwicklungsländern zugeschnitten sind, und wurden nicht auf ihre Auswirkungen auf die Müttergesundheit hin evaluiert. In dieser Arbeit wurden zwei (Web und Mobile) Apps entwickelt, die die Übermittlung von multimedialen Nachrichten zur Müttergesundheit, Terminerinnerungen und Anrufe/Chats erleichtern. Um die Anforderungen der Nutzer zu erfassen, wurde eine Feldstudie mit halbstrukturierten Interviews und Fokusgruppendiskussionen mit schwangeren Analphabetinnen, Gesundheitsexperten und Entwicklern durchgeführt. Es folgte die Entwicklung eines Sicherheitsmodells (T2RoL) zur Sicherung der Gesundheitsinformationen in den Apps, die dann nach einem nutzerzentrierten Designansatz entwickelt wurden. Eine zweite Feldstudie in Form von halbstrukturierten Interviews und Umfragen wurde durchgeführt, um die mobile App in einer randomisierten kontrollierten Studie mit 80 schwangeren Analphabetinnen über 9 Monate zu evaluieren. Die Auswertung zeigte, dass die App akzeptiert wurde sowie einfach zu erlernen und zu benutzen war. Das Wissen über Müttergesundheit in der Interventionsgruppe verbesserte sich, was sich positiv auf gesundheitsbezogene Entscheidungen und Gesundheitsmaßnahmen auswirkte. / Maternal mortality is high in developing countries partly due to indirect factors such as illiteracy and limited access to maternal health information. While literate women can access health information from online platforms, and mHealth apps, illiterate women must get it from health facilities which is often not possible due to lack of transport fees. Mobile technology has opened opportunities in maternal health care for low resource communities that would otherwise not have benefited from digital technologies. Although used in maternal health, most interventions are not usable by the illiterate, use security models that are not tailored to the developing countries’ context, and have not been evaluated to assess their impact on maternal health care. In this thesis, two (web and mobile) apps that facilitate delivery of multimedia-based maternal health messages, appointment reminders, and calls/ chats were developed. To gather user requirements, a field study in form of semi-structured interviews and focus group discussions was conducted with illiterate pregnant women, health practitioners and developers. Development of a security model (T2RoL) to secure the health information in the apps followed. The apps were then developed following a user-centered design approach. A second field study in form of semi-structured interviews and surveys was conducted to evaluate the mobile app through a randomized controlled trial with 80 illiterate pregnant women that were followed for 9 months. Overall, results show that the app was acceptable, easy to learn and use. There was improved maternal health knowledge among the intervention group which positively influenced health related decision making and health practices.

South Africa has one of the highest HIV prevalence rates globally, with nearly 2.5 million people accessing antiretroviral treatment (ART) at the end of 2013. Retaining patients on ART has become a major problem in this country. When patients no longer show up for ART for unknown reasons, they are considered lost to follow-up (LTF). LTF is the highest contributor to ART attrition. This study, guided by the health belief model, evaluated the effectiveness of a technology-based, mobile health (mHealth) appointment reminder intervention on LTF among patients accessing ART services. The study ascertained differences in 6- and 12-month LTF rates between patients enrolled in the mHealth intervention (n = 832) and those in the standard of care comparison group (n = 918). A quantitative, retrospective cohort approach was used to answer the research questions using binary logistic regression analyses. The mHealth intervention was found to be significantly linked to lower likelihood of 6- and/or 12-month LTF among patients. There were 2 other key findings: a positive correlation between pregnancy and LTF, and a positive correlation between viral load increases and LTF. This study added evidence to the existing literature on the effectiveness of using mHealth-based interventions to improve HIV/AIDS care. Based on these findings, professionals should pay special attention to pregnant women and those clients with increasing viral loads to ensure they are not LTF. Positive social change that may result from this study is better health outcomes for patients on ART due to reduced risk of HIV related complications and other illnesses. This awareness would improve the lives of the patients, and positively impact their families, communities, and ultimately the global community, by reducing the overall impact of HIV disease.

The General Data Protection Regulation grants data subjects the legal rights of transparency and intervenability. Ex post transparency provides users of data services with insight into how their personal data have been processed, and potentially clarifies what consequences will or may arise due to the processing of their data. Technological artefacts, ex post transparency-enhancing tools (TETs) convey such information to data subjects, provided the TETs are designed to suit the predisposition of their audience. Despite being a prerequisite for transparency, however, many of the TETs available to date lack usability in that their capabilities do not reflect the needs of their final users. The objective of this thesis is therefore to systematically apply the concept of human-centred design to ascertain design principles that demonstrably lead to the implementation of a TET that facilitates ex post transparency and supports intervenability. To this end, we classify the state of the art of usable ex post TETs published in the literature and discuss the gaps therein. Contextualising our findings in the domain of fitness tracking, we investigate to what extent individualisation can help accommodate the needs of users of online mobile health services. We introduce the notion of privacy notifications as a means to inform data subjects about incidences worthy of their attention and examine how far privacy personas reflect the preferences of distinctive groups of recipients. We suggest a catalogue of design guidelines that can serve as a basis for specifying context-sensitive requirements for the implementation of a TET that leverages privacy notifications to facilitate ex post transparency, and which also serve as criteria for the evaluation of a future prototype. / <p>Paper 2 ingick som manuskript i avhandlingen, nu publicerad.</p>

Το mHealth, η χρήση δηλαδή φορητών τεχνολογιών για την βελτίωση των παρεχόμενων υπηρεσιών υγείας, είναι σήμερα ένα από τα πιο ταχέως αναπτυσσόμενα πεδία της ηλεκτρονικής υγείας (eHealth). Ο αριθμός των επαγγελματιών υγείας που υιοθετούν έξυπνα κινητά τηλέφωνα (smartphones) για την εκτέλεση πληθώρας λειτουργιών αυξάνεται συνεχώς, εξαιτίας των δυνατοτήτων και της φορητότητας που αυτά παρέχουν. Ταυτόχρονα, τα σφάλματα στη φαρμακευτική αγωγή είναι από τα πιο συνηθισμένα ιατρικά λάθη με επιπτώσεις τόσο στην υγεία του ασθενούς όσο και στις δαπάνες στην υγεία. Η χορήγηση φαρμάκων είναι μια πολύπλοκη διαδικασία, καθώς απαιτεί από τον ειδικό της υγείας την ανάλυση πληθώρας παραγόντων και την ανάκτηση, επεξεργασία και διαχείριση μεγάλου όγκου πληροφορίας. Σύμφωνα με τη βιβλιογραφία, η χρήση τεχνολογιών πληροφορικής για την υποβοήθηση των επαγγελματιών υγείας στη λήψη αποφάσεων κατά τη συνταγογράφηση, μπορεί να συμβάλει σημαντικά στη μείωση των σφαλμάτων φαρμακευτικής αγωγής. Στο πλαίσιο της παρούσας διπλωματικής εργασίας, προχωρήσαμε στη διερεύνηση και αξιολόγηση των σημαντικότερων εφαρμογών έξυπνων κινητών συσκευών για το φάρμακο, με στόχο την εξαγωγή χρήσιμων συμπερασμάτων για τα χαρακτηριστικά και τις λειτουργίες που ενσωματώνουν. Ένα από τα βασικά συμπεράσματα της έρευνας ήταν η απουσία αντίστοιχης εφαρμογής για τα φάρμακα που είναι εγκεκριμένα από τον Εθνικό Οργανισμό Φαρμάκων (ΕΟΦ). Ως εκ τούτου, προχωρήσαμε στο σχεδιασμό και την ανάπτυξη εφαρμογής για τον έλεγχο ασυμβασιών μεταξύ φαρμάκων, η οποία παρέχει επιπλέον τη δυνατότητα προβολής πληροφοριών συνταγολογίου για τα φάρμακα του ΕΟΦ. Ο σχεδιασμός της εφαρμογής έγινε λαμβάνοντας υπόψη τις ανάγκες και τις απαιτήσεις μελλοντικών χρηστών, όπως οι επαγγελματίες υγείας και οι ασθενείς, προκειμένου να διασφαλιστεί η λειτουργικότητα και η ευχρηστία της. Η εν λόγω εφαρμογή προορίζεται για έξυπνες κινητές συσκευές που διαθέτουν λειτουργικό σύστημα Android, ενώ η πληροφορία που ενσωματώνει βασίζεται αποκλειστικά στο εθνικό συνταγολόγιο του ΕΟΦ. / Mobile Health or mHealth, namely the use of mobile and wireless technologies in order to improve health services and achieve health goals, is today one of the most rapidly expanding fields of electronic health (eHealth). The number of health professionals that adopt smartphones to perform multiple tasks, during their everyday medical practice, is increasing constantly. This is due to the fact that smartphones provide advanced computing capabilities and high portability. Simultaneously, medication errors are among the most common medical errors which have negative impact both for the health of the patient and the expenditure on health sector. Drug prescribing is quite a complex procedure, considering the fact that requires the health expert to analyze multiple factors and retrieve, process, manage and digest large volume of information. According to the literature, the use of information technologies to assist health professionals in decision-making when prescribing drugs, can contribute significantly to the reduction of medication errors. In the context of our work, we explored and evaluated the major smartphone applications for drugs, aiming to the extraction of useful conclusions about the features and functions that they incorporate. One of the research key findings was the absence of a corresponding application for the drugs that are approved by the National Drug Organization of Greece. Therefore, we design and develop an application for checking drug-drug interactions which additionally provides the ability to view national formulary information about drugs. The analysis and design of the application was implemented in collaboration with future users, such as health professionals and patients, in order to ensure that will meet their needs and requirements and at the same time will remain user friendly. This application is intended for Android smart mobile devices (e.g. smartphones, tablet PCs) and the information that integrates is solely based on the national formulary of the National Drug Organization of Greece.