70 research outputs found
Heart rate measurement using the built-in triaxial accelerometer from a commercial digital writing device
Wearable devices are on the rise. Smart watches and phones, fitness trackers
or smart textiles now provide unprecedented access to our own personal data. As
such, wearable devices can enable health monitoring without disrupting our
daily routines. In clinical settings, electrocardiograms (ECGs) and
photoplethysmographies (PPGs) are used to monitor the heart's and respiratory
behaviors. In more practical settings, accelerometers can be used to estimate
the heartrate when they are attached to the chest. They can also help filter
out some noise in ECG signal from movement. In this work, we compare the heart
rate data extracted from the built-in accelerometer of a commercial smart pen
equipped with sensors (STABILO's DigiPen), with a standard ECG monitor
readouts. We demonstrate that it is possible to accurately predict the heart
rate from the smart pencil. The data collection is done with eight volunteers,
writing the alphabet continuously for five minutes. The signal is processed
with a Butterworth filter to cut off noise. We achieve a mean-squared error
(MSE) better than 6.685x10 comparing the DigiPen's computed t
(time between pulses) with the reference ECG data. The peaks' timestamps for
both signals all maintain a correlation higher than 0.99. All computed heart
rates from the pen accurately correlate with the reference ECG signals
Devices and Data Workflow in COPD Wearable Remote Patient Monitoring: A Systematic Review
Background: With global increase in Chronic Obstructive Pulmonary Disease (COPD)
prevalence and mortality rates, and socioeconomical burden continuing to rise, current
disease management strategies appear inadequate, paving the way for technological
solutions, namely remote patient monitoring (RPM), adoption considering its acute disease
events management benefit. One RPM’s category stands out, wearable devices, due to its
availability and apparent ease of use.
Objectives: To assess the current market and interventional solutions regarding wearable
devices in the remote monitoring of COPD patients through a systematic review design from
a device composition, data workflow, and collected parameters description standpoint.
Methods: A systematic review was conducted to identify wearable device trends in this
population through the development of a comprehensive search strategy, searching beyond
the mainstream databases, and aggregating diverse information found regarding the same
device. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis
(PRISMA) guidelines were followed, and quality appraisal of identified studies was
performed using the Critical Appraisal Skills Programme (CASP) quality appraisal
checklists.
Results: The review resulted on the identification of 1590 references, of which a final 79
were included. 56 wearable devices were analysed, with the slight majority belonging to the
wellness devices class. Substantial device heterogeneity was identified regarding device
composition type and wearing location, and data workflow regarding 4 considered
components. Clinical monitoring devices are starting to gain relevance in the market and
slightly over a third, aim to assist COPD patients and healthcare professionals in
exacerbation prediction. Compliance with validated recommendations is still lacking, with
no devices assessing the totality of recommended vital signs.
Conclusions: The identified heterogeneity, despite expected considering the relative
novelty of wearable devices, alerts for the need to regulate the development and research of
these technologies, specially from a structural and data collection and transmission
standpoints.Introdução: Com o aumento global das taxas de prevalência e mortalidade da Doença
Pulmonar Obstrutiva Crónica (DPOC) e o seu impacto socioeconómico, as atuais estratégias
de gestão da doença parecem inadequadas, abrindo caminho para soluções tecnológicas,
nomeadamente para a adoção da monitorização remota, tendo em conta o seu benefício na
gestão de exacerbações de doenças crónicas. Dentro destaca-se uma categoria, os
dispositivos wearable, pela sua disponibilidade e aparente facilidade de uso.
Objetivos: Avaliar as soluções existentes, tanto no mercado, como na área de investigação,
relativas a dispositivos wearable utilizados na monitorização remota de pacientes com
DPOC através de uma revisão sistemática, do ponto de vista da composição do dispositivo,
fluxo de dados e descrição dos parâmetros coletados.
Métodos: Uma revisão sistemática foi realizada para identificar tendências destes
dispositivos, através do desenvolvimento de uma estratégia de pesquisa abrangente,
procurando pesquisar para além das databases convencionais e agregar diversas
informações encontradas sobre o mesmo dispositivo. Para tal, foram seguidas as diretrizes
PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses), e a
avaliação da qualidade dos estudos identificados foi realizada utilizando a ferramenta CASP
(Critical Appraisal Skills Programme).
Resultados: A revisão resultou na identificação de 1590 referências, das quais 79 foram
incluídas. Foram analisados 56 dispositivos wearable, com a ligeira maioria a pertencer à
classe de dispositivos de wellness. Foi identificada heterogeneidade substancial nos
dispositivos em relação à sua composição, local de uso e ao fluxo de dados em relação a 4
componentes considerados. Os dispositivos de monitorização clínica já evidenciam alguma
relevância no mercado e, pouco mais de um terço, visam auxiliar pacientes com DPOC e
profissionais de saúde na previsão de exacerbações. Ainda assim, é notória a falta do
cumprimento das recomendações validadas, não estando disponíveis dispositivos que
avaliem a totalidade dos sinais vitais recomendados.
Conclusão: A heterogeneidade identificada, apesar de esperada face à relativa novidade
dos dispositivos wearable, alerta para a necessidade de regulamentação do
desenvolvimento e investigação destas tecnologias, especialmente do ponto de vista
estrutural e de recolha e transmissão de dados
State of the Art of Audio- and Video-Based Solutions for AAL
It 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 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. 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. 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 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 lifelogging and self-monitoring, remote monitoring of vital signs, emotional state recognition, food intake monitoring, activity and behaviour recognition, activity and personal assistance, gesture recognition, fall detection and prevention, mobility assessment and frailty recognition, and 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
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
Emotion and Stress Recognition Related Sensors and Machine Learning Technologies
This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective
The 2nd International Electronic Conference on Applied Sciences
This book is focused on the works presented at the 2nd International Electronic Conference on Applied Sciences, organized by Applied Sciences from 15 to 31 October 2021 on the MDPI Sciforum platform. Two decades have passed since the start of the 21st century. The development of sciences and technologies is growing ever faster today than in the previous century. The field of science is expanding, and the structure of science is becoming ever richer. Because of this expansion and fine structure growth, researchers may lose themselves in the deep forest of the ever-increasing frontiers and sub-fields being created. This international conference on the Applied Sciences was started to help scientists conduct their own research into the growth of these frontiers by breaking down barriers and connecting the many sub-fields to cut through this vast forest. These functions will allow researchers to see these frontiers and their surrounding (or quite distant) fields and sub-fields, and give them the opportunity to incubate and develop their knowledge even further with the aid of this multi-dimensional network
Design methodologies for smart textile products in the field of sport
Tese de doutoramento em Design de ModaApesar das fortes implicações no campo interdisciplinar da interação humano-computador (HCI), tem
havido um movimento para que a roupa desportiva acolha no seu design inúmeras inovações, tanto nas
tecnologias eletrónicas, como nos materiais e acabamentos. Posicionando-se audaciosamente entre o
design de moda e os dispositivos vestíveis, estas roupas discorrem entre as tecnologias da informação e
comunicação (ICT) e as plataformas da internet das coisas (IoT), trazendo benefícios e funcionalidades,
consequentemente novas características de interação entre a roupa e o utilizador.
Nesse contexto, e no âmbito das atividades do projeto TSSIPRO – Technologies for Sustainable and Smart
Innovative Products, obteve-se o desenvolvimento de conhecimento através de dois estudos de caso, tendo
cada um destes sido acompanhado por um método. O estudo “Smartsuit”, que foi orientado pelo método
Duplo Diamante, teve como foco o ciclismo. Corresponde a um contacto introdutório e multidisciplinar ao
processo de design de vestuário inteligente para o desporto. Permitiu através da experiência empírica,
experimental, pessoal do autor, o design e a prototipagem de um skinsuit com elétrodos integrados capazes
de monitorizar a frequência cardíaca por eletrocardiografia (ECG). O estudo “Avantgarde” foi orientado pelo
método Design Centrado no Utilizador, e teve como foco a esgrima. Corresponde já a uma maturação da
temática e identifica os requisitos do utilizador. Permitiu através da experiência conceptual, teórica,
metódica e organizada do autor, a conceptualização de um uniforme inteligente com sensor de pressão
piezoresistivo flexível integrado no têxtil capaz de capturar o desempenho do toque da arma, facilitando a
arbitragem e pontuação do jogo. Dispõe ainda de sensores inerciais (IMU) acoplados no têxteis capazes de
capturar e rastrear os movimentos do atleta através da transposição do movimento para um modelo digital.
Aqui, foi possível, a seleção e avaliação das tecnologias vestíveis através da agnição de dados quantitativos
e qualitativos fornecidos pelos utilizadores.
Esta tese contribui para o crescente corpo de pesquisa sobre o uso de computadores vestíveis
para a atividade desportiva. Através do utilizador enfatiza-se inovação, usabilidade e design. Mais
especificamente, valida o interesse de atletas e treinadores de esgrima, por tecnologias com sensores
de pressão e inerciais. Ao nível do processo de design possibilitou investigar e avaliar através de dois
modelos destintos e, portanto, identificar as suas diferenças e limitações.Despite the substantial implications in the interdisciplinary field of human-computer interaction (HCI),
there has been a movement for sportswear to embrace numerous innovations in its design, both in
electronic technologies and in materials and functionalisation. Audaciously situated between fashion
design and wearable devices, these clothes roam between information and communications technology
(ICT) and the internet of things (IoT) platforms, bringing benefits and functionalities, consequently new
features of interaction between clothing and the user.
In this context, and within the scope of the activities of the TSSIPRO – Technologies for Sustainable and
Smart Innovative Products, the development of knowledge was obtained through two case studies, each
of which was accompanied by a method. The “Smartsuit” study, which was guided by the Double
Diamond method, focused on cycling. It corresponds to an introductory and multidisciplinary contact to
the process of designing smart garments for sport. Through the author's empirical, experimental, personal
experience, it allowed the design and prototyping of a skinsuit with embedded electrodes capable of
monitoring heart rate by electrocardiogram (ECG). The “Avantgarde” study was guided by the User-
Centered Design method and focused on fencing. It corresponds to a maturation of the theme and
identifies the user's requirements. It allowed, through the author's conceptual, theoretical, methodical,
and organized experience, the conceptualization of a smart uniform with a flexible piezoresistive pressure
sensor integrated into the textile capable of capturing the performance of the weapon's touch, facilitating
the refereeing, and scoring of the game. It also features with inertial sensors (IMU) coupled to the textiles
capable of capturing and tracking the athlete’s movements by transposing the movement to a digital
model. Here, it was possible to select and evaluate the wearable technologies through the analysis of
quantitative and qualitative data provided by users.
This thesis contributes to the growing body of research on the use of wearable computers for sports
activities. Through the user, innovation, usability, and design are emphasized. More specifically, it
validates the interest of athletes and fencing coaches in pressure and inertial sensor technologies. At the
level of the design process, it made possible to investigate and evaluate through two distinct models and,
therefore, identify their differences and limitations.TSSIPRO - bolsa de investigação UMINHO/BI/123/201
Low-Cost Sensors and Biological Signals
Many sensors are currently available at prices lower than USD 100 and cover a wide range of biological signals: motion, muscle activity, heart rate, etc. Such low-cost sensors have metrological features allowing them to be used in everyday life and clinical applications, where gold-standard material is both too expensive and time-consuming to be used. The selected papers present current applications of low-cost sensors in domains such as physiotherapy, rehabilitation, and affective technologies. The results cover various aspects of low-cost sensor technology from hardware design to software optimization
Quantifying Quality of Life
Describes technological methods and tools for objective and quantitative assessment of QoL Appraises technology-enabled methods for incorporating QoL measurements in medicine Highlights the success factors for adoption and scaling of technology-enabled methods This open access book presents the rise of technology-enabled methods and tools for objective, quantitative assessment of Quality of Life (QoL), while following the WHOQOL model. It is an in-depth resource describing and examining state-of-the-art, minimally obtrusive, ubiquitous technologies. Highlighting the required factors for adoption and scaling of technology-enabled methods and tools for QoL assessment, it also describes how these technologies can be leveraged for behavior change, disease prevention, health management and long-term QoL enhancement in populations at large. Quantifying Quality of Life: Incorporating Daily Life into Medicine fills a gap in the field of QoL by providing assessment methods, techniques and tools. These assessments differ from the current methods that are now mostly infrequent, subjective, qualitative, memory-based, context-poor and sparse. Therefore, it is an ideal resource for physicians, physicians in training, software and hardware developers, computer scientists, data scientists, behavioural scientists, entrepreneurs, healthcare leaders and administrators who are seeking an up-to-date resource on this subject
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