ANALYSING PHYSICAL ACTIVITY BEHAVIOUR WITH SELF-ORGANIZING MAPS – A RCT STUDY WITH POLAR ACTIVE

Physical activity (PA) is a major contributor for both physical and mental wellbeing, and it is also needed to maintain our working capability. PA is not only about sports and exercise, but also being active at work, home, in commuting and during leisure time. According to WHO physical inactivity accounts globally for more than 3 million deaths annually. Evidence-based interventions to under-stand and increase our PA behaviour are therefore important. Activity monitors provide a means to set targets for daily activity and to follow the intensity, frequency, and duration of PA. Monitoring dai-ly activity has been shown to motivate for PA but more information is needed to understand our daily PA behaviour. Our daily PA is correlated to our daily habits such as steps and calories burned and sleeping time. The current randomized control trail study try to understand by visualising and cluster-ing daily PA (\u3e3.5 MET), steps, calories and sleep of the baseline and the week 8 in working days, from Monday to Friday. The data analysis is based on self-organizing maps (SOMs) technique. The data clusters reveal changes and differences the intervention has occurred between men and women in their PA behaviour

Topographic mapping for quality inspection and intelligent filtering of smart-bracelet data

Wrist-worn wearable devices equipped with heart activity sensors can provide valuable data that can be used for preventative health. However, hearth activity analysis from these devices suffers from noise introduced by motion artifacts. Methods traditionally used to remove outliers based on motion data can yield to discarding clean data, if some movement was present, and accepting noisy data, i.e., subject was still but the sensor was misplaced. This work shows that self-organizing maps (SOMs) can be used to effectively accept or reject sections of heart data collected from unreliable devices, such as wrist-worn devices. In particular, the proposed SOM-based filter can accept a larger amount of measurements (less false negatives) with an higher overall quality with respect to methods solely based on statistical analysis of motion data. We provide an empirical analysis on real-world wearable data, comprising heart and motion data of users. We show how topographic mapping can help identifying and interpreting patterns in the sensor data and help relating them to an assessment of user state. More importantly, our experimental results show the proposed approach is able to retain almost twice the amount of data while keeping samples with an error that is an order of magnitude lower with respect to a filter based on accelerometric data

Trends in Patient Generated Data – An Initial Review

In recent years, patient-centered care has gained significant momentum in healthcare and the patient is more involved as an active participant in data generation. In this state of the art review we identify trends in patient generated data (PGD) and areas in need of further research by reviewing papers published in the health tracks of five high-ranked IS conferences. Our results suggest that research is mostly empirically grounded and primarily focuses on sickness rather than wellness issues. There is an emphasis on chronic diseases and self-management, dealing with user motivation, and a focus mostly on mobile apps. Though technology plays an important part, there is scarce problematization of and theorization on PGD. Further studies are needed that investigate the effects of PGD on patients and healthcare providers, include a wider range of issues and incorporate wearable devices more comprehensively

Fast screening for diagnostic of heart ischemic episodes

Dissertação para obtenção do Grau de Doutor em Química SustentávelCardiovascular diseases (CVD) are top-killer chronic diseases, accounting for al-most half of the European deaths in 2010 (Eurostat data). Most recent statistics in Portuguese territory confirm this scenario, with cardiovascular diseases killing about 11 persons per 100000 inhabitants. Reducing these numbers is urgent and requires early, quick and efficient diagnostic of the specific heart condition. Thus, the main goal of this proposal is to develop a low cost sensing-devices based on newly synthesized sensory biomaterials for screening cardiac bi-omarkers in point-of-care. These were applied to screen the conventional bi-omarkers of clinical interest, all peptides in nature. These include troponin T (TnT), creatine kinase isoenzyme (CK-MB) and myoglobin (Myo). This was achieved by means of novel and low cost biosensing materials that were designed to display good selectivity to each biomarker, assembled on nanostructured sens-ing units and tested on serum samples. The design of novel biosensing materials consisted on synthesizing plastic antibodies by means of novel molecular im-printing (MI) and enzymatic approaches. Nanostructured sensing units were as-sembled by modifying the surface of standard conductive materials with the pre-viously indicated biomaterials. Standard conductive supports selected for this purpose were carbon and gold. Overall, it is expected that the emerging biosensing materials and platforms out coming from this project may contribute for the development of new non-inva-sive or minimally invasive methods with clinical application in the early screen-ing of chronic diseases and fast-screening in point-of-care (POC) of acute events

State of the art of audio- and video based solutions for AAL

Working Group 3. Audio- and Video-based AAL ApplicationsIt is a matter of fact that Europe is facing more and more crucial challenges regarding health and social care due to the demographic change and the current economic context. The recent COVID-19 pandemic has stressed this situation even further, thus highlighting the need for taking action. Active and Assisted Living (AAL) technologies come as a viable approach to help facing these challenges, thanks to the high potential they have in enabling remote care and support. Broadly speaking, AAL can be referred to as the use of innovative and advanced Information and Communication Technologies to create supportive, inclusive and empowering applications and environments that enable older, impaired or frail people to live independently and stay active longer in society. AAL capitalizes on the growing pervasiveness and effectiveness of sensing and computing facilities to supply the persons in need with smart assistance, by responding to their necessities of autonomy, independence, comfort, security and safety. The application scenarios addressed by AAL are complex, due to the inherent heterogeneity of the end-user population, their living arrangements, and their physical conditions or impairment. Despite aiming at diverse goals, AAL systems should share some common characteristics. They are designed to provide support in daily life in an invisible, unobtrusive and user-friendly manner. Moreover, they are conceived to be intelligent, to be able to learn and adapt to the requirements and requests of the assisted people, and to synchronise with their specific needs. Nevertheless, to ensure the uptake of AAL in society, potential users must be willing to use AAL applications and to integrate them in their daily environments and lives. In this respect, video- and audio-based AAL applications have several advantages, in terms of unobtrusiveness and information richness. Indeed, cameras and microphones are far less obtrusive with respect to the hindrance other wearable sensors may cause to one’s activities. In addition, a single camera placed in a room can record most of the activities performed in the room, thus replacing many other non-visual sensors. Currently, video-based applications are effective in recognising and monitoring the activities, the movements, and the overall conditions of the assisted individuals as well as to assess their vital parameters (e.g., heart rate, respiratory rate). Similarly, audio sensors have the potential to become one of the most important modalities for interaction with AAL systems, as they can have a large range of sensing, do not require physical presence at a particular location and are physically intangible. Moreover, relevant information about individuals’ activities and health status can derive from processing audio signals (e.g., speech recordings). Nevertheless, as the other side of the coin, cameras and microphones are often perceived as the most intrusive technologies from the viewpoint of the privacy of the monitored individuals. This is due to the richness of the information these technologies convey and the intimate setting where they may be deployed. Solutions able to ensure privacy preservation by context and by design, as well as to ensure high legal and ethical standards are in high demand. After the review of the current state of play and the discussion in GoodBrother, we may claim that the first solutions in this direction are starting to appear in the literature. A multidisciplinary 4 debate among experts and stakeholders is paving the way towards AAL ensuring ergonomics, usability, acceptance and privacy preservation. The DIANA, PAAL, and VisuAAL projects are examples of this fresh approach. This report provides the reader with a review of the most recent advances in audio- and video-based monitoring technologies for AAL. It has been drafted as a collective effort of WG3 to supply an introduction to AAL, its evolution over time and its main functional and technological underpinnings. In this respect, the report contributes to the field with the outline of a new generation of ethical-aware AAL technologies and a proposal for a novel comprehensive taxonomy of AAL systems and applications. Moreover, the report allows non-technical readers to gather an overview of the main components of an AAL system and how these function and interact with the end-users. The report illustrates the state of the art of the most successful AAL applications and functions based on audio and video data, namely (i) lifelogging and self-monitoring, (ii) remote monitoring of vital signs, (iii) emotional state recognition, (iv) food intake monitoring, activity and behaviour recognition, (v) activity and personal assistance, (vi) gesture recognition, (vii) fall detection and prevention, (viii) mobility assessment and frailty recognition, and (ix) cognitive and motor rehabilitation. For these application scenarios, the report illustrates the state of play in terms of scientific advances, available products and research project. The open challenges are also highlighted. The report ends with an overview of the challenges, the hindrances and the opportunities posed by the uptake in real world settings of AAL technologies. In this respect, the report illustrates the current procedural and technological approaches to cope with acceptability, usability and trust in the AAL technology, by surveying strategies and approaches to co-design, to privacy preservation in video and audio data, to transparency and explainability in data processing, and to data transmission and communication. User acceptance and ethical considerations are also debated. Finally, the potentials coming from the silver economy are overviewed.publishedVersio

Microstructure and Corrosion Behavior of Advanced Alloys

In many industrial applications, metallic materials are exposed to harsh operating conditions. Due to a combination of chemical and thermal stresses, the constructional and functional materials are degraded, and their utility properties are lost. These undesirable events are of a physicochemical nature and are commonly known as ‘corrosion’. In this Special Issue Book, 3 reviews and 18 original research papers focused on the complex relationships between the microstructure, phase constitution, and corrosion behavior of metallic materials are collected. Both high temperature and low temperature corrosion studies are included as they investigate the physicochemical processes at the material interfaces. Furthermore, possibilities for increasing the corrosion resistance of metallic materials are studied by means of surface modification and application of protective layers. This Special Issue Book, Microstructure and Corrosion Behavior of Advanced Alloys, displays the diversity and complexity of modern corrosion research. It is hoped that it will become a valuable source of reference for corrosion scientists

Journey to the Centre of the Museum: Cognitive, Object and Introspective User Experiences in a Design Museum

This thesis applies an ethnographic approach to investigate museum visit practices, which shape user experiences in a design museum. Specifically, it explores individual users’ meaning making processes through the embodiment of thoughts and lived experiences. To frame the study, it takes on a phenomenological approach to investigate how the body, self, space, and objects relate with each other in the phenomenon of museum going. Four main questions guide the paper. First, why do users go the museum? Second, how do users interact and navigate the museum? Third, how do the senses influence the users’ interaction and navigation practices? And fourth, how do users create meanings of the different museum affordances that facilitate lived experiences? By using phenomenology as theory and a bricolage of qualitative methods, it becomes possible to uncover the relationship of users’ previous knowledge in setting the trajectory and navigation practices for their journey to and within the museum. This includes how they navigate and orient themselves in space. It can be argued that different users have different experiences in the same museum, but this study clearly identifies the touchpoints in the user journey where disparities in user experiences occur due to asymmetric stimuli and associations. Moreover, thickly describing what users see and feel in the museum can contribute in the growing field of user-centered design and cultural administration and enable similar organisations to understand how users experience the such institutions or leisure spaces