Abstract:This article presents a systematic review of the literature concerning scientific publications on wrist wearables that can help to identify stress levels. The study is part of a research project aimed at modeling a stress surveillance system and providing coping recommendations. The investigation followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. In total, 38 articles were selected for full reading, and 10 articles were selected owing to their alignment with th… Show more
“…In addition, they showed that the performance of a fall detection algorithm could be strongly dependent on the smartwatch model Auepanwiriyakul et al (2020) [ 34 ] / UK Combined methods design 15 healthy volunteers This study evaluated raw IMU sensor data quality, followed by a trial of the feasibility of wearable health devices in a clinical environment In this study, wearable IMU technology, such as smartwatches and research-grade IMU Xsens, was cleaner linear acceleration signals and fewer errors than Axivity due to additional magnetometer and strap-down integration technology. This technology is viewed positively by healthcare professionals, according to this study on its acceptability among hospital patients Varghese et al (2021) [ 35 ] / Germany Prospective study 400 participants This study was a prospective study from 2018 to the end of 2021, in which they recruited and measured the hand movements of 400 participants using Apple smartwatches and smartphones. The aim was to distinguish PD from other movement disorders and healthy individuals Results showed that smartwatches had high agreement with seismological sensor validation in measuring movement subtleties or hand-tremor amplitudes and frequencies more accurately than clinical documentation or human vision Fig.…”
Smartwatches have become increasingly popular in recent times because of their capacity to track different health indicators, including heart rate, patterns of sleep, and physical movements. This scoping review aims to explore the utilisation of smartwatches within the healthcare sector. According to Arksey and O'Malley's methodology, an organised search was performed in PubMed/Medline, Scopus, Embase, Web of Science, ERIC and Google Scholar. In our search strategy, 761 articles were returned. The exclusion/inclusion criteria were applied. Finally, 35 articles were selected for extracting data. These included six studies on stress monitoring, six on movement disorders, three on sleep tracking, three on blood pressure, two on heart disease, six on covid pandemic, three on safety and six on validation. The use of smartwatches has been found to be effective in diagnosing the symptoms of various diseases. In particular, smartwatches have shown promise in detecting heart diseases, movement disorders, and even early signs of COVID-19. Nevertheless, it should be emphasised that there is an ongoing discussion concerning the reliability of smartwatch diagnoses within healthcare systems. Despite the potential advantages offered by utilising smartwatches for disease detection, it is imperative to approach their data interpretation with prudence. The discrepancies in detection between smartwatches and their algorithms have important implications for healthcare use. The accuracy and reliability of the algorithms used are crucial, as well as high accuracy in detecting changes in health status by the smartwatches themselves. This calls for the development of medical watches and the creation of AI-hospital assistants. These assistants will be designed to help with patient monitoring, appointment scheduling, and medication management tasks. They can educate patients and answer common questions, freeing healthcare providers to focus on more complex tasks.
“…In addition, they showed that the performance of a fall detection algorithm could be strongly dependent on the smartwatch model Auepanwiriyakul et al (2020) [ 34 ] / UK Combined methods design 15 healthy volunteers This study evaluated raw IMU sensor data quality, followed by a trial of the feasibility of wearable health devices in a clinical environment In this study, wearable IMU technology, such as smartwatches and research-grade IMU Xsens, was cleaner linear acceleration signals and fewer errors than Axivity due to additional magnetometer and strap-down integration technology. This technology is viewed positively by healthcare professionals, according to this study on its acceptability among hospital patients Varghese et al (2021) [ 35 ] / Germany Prospective study 400 participants This study was a prospective study from 2018 to the end of 2021, in which they recruited and measured the hand movements of 400 participants using Apple smartwatches and smartphones. The aim was to distinguish PD from other movement disorders and healthy individuals Results showed that smartwatches had high agreement with seismological sensor validation in measuring movement subtleties or hand-tremor amplitudes and frequencies more accurately than clinical documentation or human vision Fig.…”
Smartwatches have become increasingly popular in recent times because of their capacity to track different health indicators, including heart rate, patterns of sleep, and physical movements. This scoping review aims to explore the utilisation of smartwatches within the healthcare sector. According to Arksey and O'Malley's methodology, an organised search was performed in PubMed/Medline, Scopus, Embase, Web of Science, ERIC and Google Scholar. In our search strategy, 761 articles were returned. The exclusion/inclusion criteria were applied. Finally, 35 articles were selected for extracting data. These included six studies on stress monitoring, six on movement disorders, three on sleep tracking, three on blood pressure, two on heart disease, six on covid pandemic, three on safety and six on validation. The use of smartwatches has been found to be effective in diagnosing the symptoms of various diseases. In particular, smartwatches have shown promise in detecting heart diseases, movement disorders, and even early signs of COVID-19. Nevertheless, it should be emphasised that there is an ongoing discussion concerning the reliability of smartwatch diagnoses within healthcare systems. Despite the potential advantages offered by utilising smartwatches for disease detection, it is imperative to approach their data interpretation with prudence. The discrepancies in detection between smartwatches and their algorithms have important implications for healthcare use. The accuracy and reliability of the algorithms used are crucial, as well as high accuracy in detecting changes in health status by the smartwatches themselves. This calls for the development of medical watches and the creation of AI-hospital assistants. These assistants will be designed to help with patient monitoring, appointment scheduling, and medication management tasks. They can educate patients and answer common questions, freeing healthcare providers to focus on more complex tasks.
“…The performance of stress level monitoring systems is crucial to ensure accurate and reliable measurements. Here are some key aspects to keep in mind while evaluating the performance of stress level monitoring 38,39 :…”
Section: F I G U R E 7 Progression Of Biosensors Toward Wearable (Lim...mentioning
Stress is the major unseen bug for the health of humans with the increasing workaholic era. Long periods of avoidance are the main precursor for chronic disorders that are quite tough to treat. As precaution is better than cure, stress detection and monitoring are vital. Although there are ways to measure stress clinically, there is still a constant need and demand for methods that measure stress personally and in an ex vitro manner for the convenience of the user. The concept of continuous stress monitoring has been introduced to tackle the issue of unseen stress accumulating in the body simultaneously with being user‐friendly and reliable. Stress biosensors nowadays provide real‐time, noninvasive, and continuous monitoring of stress. These biosensors are innovative anthropogenic creations that are a combination of biomarkers and indicators like heart rate variation, electrodermal activity, skin temperature, galvanic skin response, and electroencephalograph of stress in the body along with machine learning algorithms and techniques. The collaboration of biological markers, artificial intelligence techniques, and data science tools makes stress biosensors a hot topic for research. These attributes have made continuous stress detection a possibility with ease. The advancement in stress biosensing technologies has made a great impact on the lives of human beings so far. This article focuses on the comprehensive study of stress‐indicating biomarkers and the techniques along with principles of the biosensors used for continuous stress detection. The precise overview of wearable stress monitoring systems is also sectioned to pave a pathway for possible future research studies.
“…que podem ser medidas através de sensores para auxiliar na identificação do estresse ocupacional [12]. Os sinais físicos de estresse podem ser medidos através da sudorese excessiva, temperatura da pele, alterações de frequência cardíaca e respiração ofegante, por exemplo [13]. Uma pesquisa recente está buscando uma maneira de identificar a presença de estresse através de outros biomarcadores contidos na saliva: cortisol, testosterona, dehidroepiandrosterona (DHEA) e sulfato de dehidroepiandrosterona (SDHEA) [14].…”
Section: Estresse Ocupacionalunclassified
“…Aspectos emocionais para o reconhecimento de estresse: existem alterações fisiológicas, emocionais e cognitivas que influenciam as alterações manifestadas pelo estresse, estas alterações podem ser um estado de distress quando é negativo, ou eustress quando é positivo. Apesar dos resultados importantes dos biomarcadores apresentados recentemente [12,13], pesquisas nessa área ainda precisam avançar para que sistemas computacionais sejam capazes de identificar as alterações emocionais e cognitivas, para então diferenciar os dois momentos de estresse. Para a identificação do estresse, normalmente são aplicadas metodologias baseadas em questionários e escores, como por exemplo, os trabalhos relacionados a avaliação dos profissionais de saúde [15,16].…”
RESUMOThis extended abstract presents perspectives on the Theory of Mindapplied to the recognition and intervention of occupational stress.We expose our perspectives based on the conceptualization of intelligentagents capable of (i) acquiring information to create modelsfor others’ mental attitudes; (ii) interacting with others to confirmmental attitudes into their theory of mind; and (iii) controllingothers’ stress, intervening when it is necessary, using other’s mentalattitude model to create persuasive arguments.
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