33 research outputs found

    A Semantic Web approach to ontology-based system: integrating, sharing and analysing IoT health and fitness data

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    With the rapid development of fitness industry, Internet of Things (IoT) technology is becoming one of the most popular trends for the health and fitness areas. IoT technologies have revolutionised the fitness and the sport industry by giving users the ability to monitor their health status and keep track of their training sessions. More and more sophisticated wearable devices, fitness trackers, smart watches and health mobile applications will appear in the near future. These systems do collect data non-stop from sensors and upload them to the Cloud. However, from a data-centric perspective the landscape of IoT fitness devices and wellness appliances is characterised by a plethora of representation and serialisation formats. The high heterogeneity of IoT data representations and the lack of common accepted standards, keep data isolated within each single system, preventing users and health professionals from having an integrated view of the various information collected. Moreover, in order to fully exploit the potential of the large amounts of data, it is also necessary to enable advanced analytics over it, thus achieving actionable knowledge. Therefore, due the above situation, the aim of this thesis project is to design and implement an ontology based system to (1) allow data interoperability among heterogeneous IoT fitness and wellness devices, (2) facilitate the integration and the sharing of information and (3) enable advanced analytics over the collected data (Cognitive Computing). The novelty of the proposed solution lies in exploiting Semantic Web technologies to formally describe the meaning of the data collected by the IoT devices and define a common communication strategy for information representation and exchange

    Ubiquitous Electronic Health System - Rancang Bangun Smart Mouse dan Smart Watch Pengukur Denyut Jantung dan Suhu Tubuh

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    The purpose of this research is to design a Ubiquitous Electronic Health System to monitor health during activities. The Ubiquitous Electronic Health System is a health monitoring system and facilitator of human health support devices that are applied to devices commonly used in everyday life such as mirrors, chairs, computer mice, watches, mobile phones, and others by utilizing the Photoplethysmograph method. The equipment developed in this study consisted of a computer mouse and a watch that was added with a photodiode, infrared, and a DS18b20 sensor with functionality as a heart rate detector and body temperature measurement. into the body but the measurement or screening action is carried out with the help of sensors attached to the skin, measurements are carried out in real-time when the equipment is used daily, the measurement results can be seen on the mobile phone screen and desktop applications, the data obtained from the measurement results can then be sent to the server to be stored as a user's medical record which can be used by the user to carry out further examinations to the doctor. The parameters that are the points in this study are the number of heart beats per minute and the measurement of body temperature, these two parameters are tested by comparing the results of tests carried out by tools designed with oximeters and thermometers. The test results from the Ubiquitous Electronic Health System tool provide an accuracy of up to 98% for measuring heart rate and 85% for measuring body temperature. Design and schematic have been shown in this study

    Interdisciplinary perspectives on privacy awareness in lifelogging technology development

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    Population aging resulting from demographic changes requires some challenging decisions and necessary steps to be taken by different stakeholders to manage current and future demand for assistance and support. The consequences of population aging can be mitigated to some extent by assisting technologies that can support the autonomous living of older individuals and persons in need of care in their private environments as long as possible. A variety of technical solutions are already available on the market, but privacy protection is a serious, often neglected, issue when using such (assisting) technology. Thus, privacy needs to be thoroughly taken under consideration in this context. In a three-year project PAAL (‘Privacy-Aware and Acceptable Lifelogging Services for Older and Frail People’), researchers from different disciplines, such as law, rehabilitation, human-computer interaction, and computer science, investigated the phenomenon of privacy when using assistive lifelogging technologies. In concrete terms, the concept of Privacy by Design was realized using two exemplary lifelogging applications in private and professional environments. A user-centered empirical approach was applied to the lifelogging technologies, investigating the perceptions and attitudes of (older) users with different health-related and biographical profiles. The knowledge gained through the interdisciplinary collaboration can improve the implementation and optimization of assistive applications. In this paper, partners of the PAAL project present insights gained from their cross-national, interdisciplinary work regarding privacy-aware and acceptable lifelogging technologies.Open Access funding enabled and organized by Projekt DEAL. This work is part of the PAAL-project (“Privacy-Aware and Acceptable Lifelogging services for older and frail people”). The support of the Joint Programme Initiative “More Years, Better Lives” (award number: PAAL_JTC2017), the German Federal Ministry of Education and Research (grant no: 16SV7955), the Swedish Research Council for Health, Working Life, and Welfare (grant no: 2017–02302), the Spanish Agencia Estatal de Investigacion (PCIN-2017-114), the Italian Ministero dell’Istruzione dell’Universitá e della Ricerca, (CUP: I36G17000380001), and the Canadian Institutes of Health Research is gratefully acknowledged

    Ethics of lifelog technology

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    In a lifelog, data from different digital sources are combined and processed to form a unified multimedia archive containing information about the quotidian activities of an individual. This dissertation aims to contribute to a responsible development of lifelog technology used by members of the general public for private reasons. Lifelog technology can benefit, but also harm lifeloggers and their social environment. The guiding idea behind this dissertation is that if the ethical challenges can be met and the opportunities realised, the conditions will be optimised for a responsible development and application of the technology. To achieve this, it is important to reflect on these concerns at an early stage of development before the existing rudimentary forms of lifelogs develop into more sophisticated devices with a broad societal application. For this research, a normative framework based on prima facie principles is used. Lifelog technology in its current form is a relatively novel invention and a consensus about its definition is still missing. Therefore the author aims to clarify the characteristics of lifelog technology. Next, the ethical challenges and opportunities of lifelogs are analysed, as they have been discussed in the scholarly literature on the ethics of lifelog technology. Against this backdrop, ethical challenges and opportunities are identified and elaborated. The normative analysis concentrates on two areas of concern, namely (1) the ethical challenges and opportunities that result from the use of lifelog technology, and (2) the conditions under which one becomes a lifelogger. For the first, three sets of key issues are discussed, namely issues to do with (a) privacy, (b) autonomy, and (c) beneficence. For the second, one key set of issues is examined, namely issues to do with autonomy. The discussion of each set of issues is concluded with recommendations designed to tackle the challenges and realise the opportunities

    Aging and eye tracking:in the quest for objective biomarkers

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    Health State Estimation

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    Life's most valuable asset is health. Continuously understanding the state of our health and modeling how it evolves is essential if we wish to improve it. Given the opportunity that people live with more data about their life today than any other time in history, the challenge rests in interweaving this data with the growing body of knowledge to compute and model the health state of an individual continually. This dissertation presents an approach to build a personal model and dynamically estimate the health state of an individual by fusing multi-modal data and domain knowledge. The system is stitched together from four essential abstraction elements: 1. the events in our life, 2. the layers of our biological systems (from molecular to an organism), 3. the functional utilities that arise from biological underpinnings, and 4. how we interact with these utilities in the reality of daily life. Connecting these four elements via graph network blocks forms the backbone by which we instantiate a digital twin of an individual. Edges and nodes in this graph structure are then regularly updated with learning techniques as data is continuously digested. Experiments demonstrate the use of dense and heterogeneous real-world data from a variety of personal and environmental sensors to monitor individual cardiovascular health state. State estimation and individual modeling is the fundamental basis to depart from disease-oriented approaches to a total health continuum paradigm. Precision in predicting health requires understanding state trajectory. By encasing this estimation within a navigational approach, a systematic guidance framework can plan actions to transition a current state towards a desired one. This work concludes by presenting this framework of combining the health state and personal graph model to perpetually plan and assist us in living life towards our goals.Comment: Ph.D. Dissertation @ University of California, Irvin

    The role of context in human memory augmentation

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    Technology has always had a direct impact on what humans remember. In the era of smartphones and wearable devices, people easily capture on a daily basis information and videos, which can help them remember past experiences and attained knowledge, or simply evoke memories for reminiscing. The increasing use of such ubiquitous devices and technologies produces a sheer volume of pictures and videos that, in combination with additional contextual information, could potentially significantly improve one’s ability to recall a past experience and prior knowledge. Calendar entries, application use logs, social media posts, and activity logs comprise only a few examples of such potentially memory-supportive additional information. This work explores how such memory-supportive information can be collected, filtered, and eventually utilized, for generating memory cues, fragments of past experience or prior knowledge, purposed for triggering one’s memory recall. In this thesis, we showcase how we leverage modern ubiquitous technologies as a vessel for transferring established psychological methods from the lab into the real world, for significantly and measurably augmenting human memory recall in a diverse set of often challenging contexts. We combine experimental evidence garnered from numerous field and lab studies, with knowledge amassed from an extensive literature review, for substantially informing the design and development of future pervasive memory augmentation systems. Ultimately, this work contributes to the fundamental understanding of human memory and how today’s modern technologies can be actuated for augmenting it

    Health and medical device development for fundamental care: Scoping review

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    BackgroundThe use of technology and health and medical devices as a part of fundamental nursing care is increasing. Although involving users in the device development process is essential, the role of nurses in the process has not yet been discussed.ObjectivesTo examine and map what kind of health and medical devices have been developed specifically for fundamental nursing care and to examine the design and development of the devices, particularly focusing on the role of nurses in the process.DesignScoping review.Data sourcesThe Medline, Cinahl, Web of Science, IEEE Explore and ACM DL databasesReview methodsThe databases were searched to identify studies describing health and medical devices developed for fundamental nursing care published between the years 2008–2018 in English language. References of included articles were reviewed for additional eligible studies. Two research team members screened the abstracts and full articles against the predefined inclusion and exclusion criteria. The PRISMA‐ScR checklist was used.ResultsOf the 7223 reports identified, a total of 19 were chosen for the scoping review. Of these, five were further analysed regarding the development process. Main focus areas of the included reports were patient monitoring, pressure ulcer prevention and patient transfer and mobility. Device development process, divided into three phases, was mainly driven by technological expertise and healthcare personnel were mainly involved in the evaluation phases.ConclusionsHealth and medical devices are a crucial part of the healthcare today and nurses are increasingly involved with their use. Most of the devices have been developed mainly by using technological expertise although they are directly aimed at fundamental aspects of nursing care. The results of our review suggest that the expertise of the nurses as the end‐users of the devices could be much more exploited.</p
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