352 research outputs found
Heart Rate Monitoring System During Physical Exercise for Fatigue Warning Using Non-invasive Wearable Sensor
Exercise provides many benefits for the body. For
someone who has heart problems, exercise should be aligned
according to the heart condition. This paper proposes to report
a system of monitoring heart rate in real time based on Android
by using photoplethysmograph (ppg) signals to provide early
warning in anticipation of fatigue during running exercise. The
contribution of this study is an algorithm to define the level of
fatigue when a user running exercise. During exercise, the heart
rate monitoring system in the application will record heart rate
data in real time and give a warning message in the form of
vibration on the user's smartphone device when the heart rate
is too fast or over the maximum limit. Monitoring heart rate
using an Android application and easy pulse plug-in sensor. The
easy pulse plug-in sensor is placed on the user's fingertips to
record heart rate data using photoplethysmograph (ppg) signals
when the user do the exercise. The heart rate detection by the
easy pulse plug-in sensor is done in the microcontroller, and
then the heart rate data is sent to the smartphone via Bluetooth
communication media. System testing is done by running
exercise using a test scenario in the form of variations in age,
running speed and length of running period to see the effect of
physical activity on the number of heart rates. The test results
show that the accuracy of heart rate detection is 95.923% and
the android application can give a warning when the user's
heart rate more than the normal limit when runnin
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
Design and fabrication of cost-effective heart-rate pulse monitoring sensor system
A traditional approach of heart rate measurement has always meant that people must go to hospitals to examine the patient disease at Cardiologist and medical officer. Most people have difficult such as no transport and lazy to go to the hospital for the check-ups of their conditions heart rate. This is because, before have a treatment or medical check-up, they should do an appointment. Besides that, demands of works very high nowadays. People busy with their works until forget to do medical check-ups. Additionally, the available portable heart rate monitoring machine is costly to buy for all. In this research, we develop a system which can be accommodate for all while everyone can do their check up at home and do not waste their time by waiting for their turn in the hospital to do the medical check-ups. The prototype is built using low cost electronics components. The prototype can do a self-check-up before seeing a medical practitioner may reduce mortality rate due to the silent killer that is heart attacks
The 2023 wearable photoplethysmography roadmap
Photoplethysmography is a key sensing technology which is used in wearable devices such as smartwatches and fitness trackers. Currently, photoplethysmography sensors are used to monitor physiological parameters including heart rate and heart rhythm, and to track activities like sleep and exercise. Yet, wearable photoplethysmography has potential to provide much more information on health and wellbeing, which could inform clinical decision making. This Roadmap outlines directions for research and development to realise the full potential of wearable photoplethysmography. Experts discuss key topics within the areas of sensor design, signal processing, clinical applications, and research directions. Their perspectives provide valuable guidance to researchers developing wearable photoplethysmography technology
Exploring the Landscape of Ubiquitous In-home Health Monitoring: A Comprehensive Survey
Ubiquitous in-home health monitoring systems have become popular in recent
years due to the rise of digital health technologies and the growing demand for
remote health monitoring. These systems enable individuals to increase their
independence by allowing them to monitor their health from the home and by
allowing more control over their well-being. In this study, we perform a
comprehensive survey on this topic by reviewing a large number of literature in
the area. We investigate these systems from various aspects, namely sensing
technologies, communication technologies, intelligent and computing systems,
and application areas. Specifically, we provide an overview of in-home health
monitoring systems and identify their main components. We then present each
component and discuss its role within in-home health monitoring systems. In
addition, we provide an overview of the practical use of ubiquitous
technologies in the home for health monitoring. Finally, we identify the main
challenges and limitations based on the existing literature and provide eight
recommendations for potential future research directions toward the development
of in-home health monitoring systems. We conclude that despite extensive
research on various components needed for the development of effective in-home
health monitoring systems, the development of effective in-home health
monitoring systems still requires further investigation.Comment: 35 pages, 5 figure
Pametne uredske stolice sa senzorima za otkrivanje položaja i navika sjedenja – pregled literature
The health consequences of prolonged sitting in the office and other work chairs have recently been tried to be alleviated or prevented by the application of modern technologies. Smart technologies and sensors are installed in different parts of office chairs, which enables monitoring of seating patterns and prevents positions that potentially endanger the health of users. The aim of this paper is to provide an overview of previous research in the field of the application of smart technologies and sensors built into office and other types of chairs in order to prevent diseases. The articles published in the period 2010-2020 and indexed in WoS CC, Scopus, and IEEE Xplore databases, with the keywords “smart chair” and “sensor chair” were analysed. 15 articles were processed, with their research being based on the use of different types of sensors that determine the contact pressures between the user’s body and stool parts and recognise different body positions when sitting, which can prevent negative health consequences. Analysed papers prove that the use of smart technology and a better understanding of sitting, using various sensors and applications that read body pressure and determine the current body position, can act as preventive health care by detecting proper heart rate and beats per minute, the activity of individual muscle groups, proper breathing and estimates of blood oxygen levels. In the future research, it is necessary to compare different types of sensors, methods used and the results obtained in order to determine which of them are most suitable for the future development of seating furniture for work.Posljedice dugotrajnog sjedenja na uredskim i drugim radnim stolicama u posljednje se vrijeme pokušavaju ublažiti ili spriječiti primjenom suvremenih tehnologija. U različite dijelove uredskih stolica ugrađuju se pametne tehnologije i senzori, što omogućuje praćenje rasporeda sjedenja i izbjegavanje položaja koji potencijalno ugrožavaju zdravlje korisnika. Cilj ovog rada jest davanje pregleda dosadašnjih istraživanja u području primjene suvremenih pametnih tehnologija i senzora ugrađenih u uredske i ostale vrste stolica radi prevencije obolijevanja korisnika. Analizirani su članci objavljeni u razdoblju od 2010. do 2020. i indeksirani su u bazama podataka WoS CC, Scopus i IEEE Xplore, a izdvojeni su prema ključnim riječima pametna stolica i senzorska stolica. Obrađeno je 15 članaka u kojima su se istraživanja temeljila na primjeni različitih vrsta senzora koji određuju kontaktne tlakove između korisnikova tijela i dijelova stolice te raspoznaju različite položaje tijela pri sjedenju, čime se mogu prevenirati negativne posljedice za zdravlje. U analiziranim istraživanjima autori su dokazali da primjena pametne tehnologije i bolje razumijevanje sjedenja uporabom različitih senzora i aplikacija kojima se očitava pritisak tijela i određuje njegov trenutačni položaj može preventivno djelovati zahvaljujući praćenju rada srca i broja otkucaja u minuti, aktivnosti pojedinih mišićnih skupina, pravilnog disanja, procjene razine kisika u krvi i sl. U budućim istraživanjima potrebno je usporediti različite tipove senzora, primijenjene metode i dobivene rezultate kako bi se uočilo koji su od njih najprikladniji za budući razvoj radnog namještaja za sjedenje
Electrocardiogram Monitoring Wearable Devices and Artificial-Intelligence-Enabled Diagnostic Capabilities: A Review
Worldwide, population aging and unhealthy lifestyles have increased the incidence of high-risk health conditions such as cardiovascular diseases, sleep apnea, and other conditions. Recently, to facilitate early identification and diagnosis, efforts have been made in the research and development of new wearable devices to make them smaller, more comfortable, more accurate, and increasingly compatible with artificial intelligence technologies. These efforts can pave the way to the longer and continuous health monitoring of different biosignals, including the real-time detection of diseases, thus providing more timely and accurate predictions of health events that can drastically improve the healthcare management of patients. Most recent reviews focus on a specific category of disease, the use of artificial intelligence in 12-lead electrocardiograms, or on wearable technology. However, we present recent advances in the use of electrocardiogram signals acquired with wearable devices or from publicly available databases and the analysis of such signals with artificial intelligence methods to detect and predict diseases. As expected, most of the available research focuses on heart diseases, sleep apnea, and other emerging areas, such as mental stress. From a methodological point of view, although traditional statistical methods and machine learning are still widely used, we observe an increasing use of more advanced deep learning methods, specifically architectures that can handle the complexity of biosignal data. These deep learning methods typically include convolutional and recurrent neural networks. Moreover, when proposing new artificial intelligence methods, we observe that the prevalent choice is to use publicly available databases rather than collecting new data
A Novel smart jacket for blood pressure measurement based on shape memory alloys
Smart textiles with medical applications offer the possibility of continuous and non-invasively monitoring which benefit patients and doctors. To measure blood pressure in premature infants a miniature actuator that can be sewn to the fabric is required. For this reason, an actuator based on shape memory alloys has been designed so that it compresses as a conventional air cuff but with 3.5W power consumption and can be controlled by applying different Pulse-Width Modulation (PWM) signals, thus offering several levels of compression. In addition, the first concept prototype of the smart jacket is achieved; made of a natural fiber fabric that incorporates: an optical sensor, a capacitive pressure sensor with great accuracy, the force actuator and a Lilypad Simblee control board which can be sewn to the fabric, is washable and has a Low Energy Bluetooh module (BBE) to connect to other devices. All this allows the systolic, diastolic and cardiac pressure to be measured for the first time in the world with the smart jacket by a semi-occlusive method. Altogether with a mobile application which allows doctors to monitor the patient at every moment, perform remote control, data measurement and recording in a comfortable and intuitive way that satisfies the necessity for a better clinical management to the growing number of patients and is a source of savings for the clinical services
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