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1.
Rev. bras. geriatr. gerontol. (Online) ; 27: e230238, 2024. tab, graf
Article in Portuguese | LILACS-Express | LILACS | ID: biblio-1559527

ABSTRACT

Resumo Objetivo Esta Revisão de Escopo teve como objetivo descrever e mapear as medidas disponibilizadas pelos smartwatches como ferramenta para identificação da Síndrome de Fragilidade em idosos. Métodos Foram incluídos estudos publicados em qualquer idioma, sem restrição de data de publicação, que descrevessem o uso de medidas fornecidas por smartwatches na avaliação da Síndrome de Fragilidade e/ou seus critérios em idosos. Descritores em inglês para smartwatches, smartbands, Síndrome da Fragilidade e envelhecimento foram utilizados para desenvolver uma estratégia de busca abrangente, que foi então aplicada para pesquisar nas seguintes bases de dados: COCHRANE LIBRARY, EMBASE, SCOPUS, PUBMED/MEDLINE, LILACS, WEB OF SCIENCE e PEDRO. Resultados A busca inicial identificou um total de 156 artigos e foram identificados 2 artigos a partir da busca manual nas referências dos estudos elegíveis. Em seguida, foram incluídos 4 estudos que utilizaram medidas diárias de contagem de passos para síntese descritiva, e três dos quatro também utilizaram dados relacionados ao sono e FC para avaliar a fragilidade em idosos. Os resultados obtidos nesta revisão indicam que parâmetros derivados de smartwatches têm sido utilizados para identificar estágios de fragilidade em diferentes ambientes, sendo a maioria dos estudos associados a outras condições clínicas. Conclusão Os smartwatches são uma excelente ferramenta de monitoramento de fragilidade por meio de medições diárias de contagem de passos, dados de sono e frequência cardíaca. Os resultados obtidos com o uso desses dispositivos podem sugerir uma avaliação mais ampla dos idosos que enfrentam risco aumentado de desenvolver a Síndrome da Fragilidade.


Abstract Objective This scoping review aimed to describe and map the measures provided by smartwatches as a tool for identifying Frailty Syndrome in older adults. Methods Studies published in any language, without publication date restrictions, that described the use of measures provided by smartwatches in evaluating or identifying Frailty Syndrome and/or its criteria in older adults were included. English descriptors for smartwatches, smartbands, Frailty Syndrome and Older Adults were used to develop a comprehensive search strategy, which was then applied to search the following databases: COCHRANE LIBRARY, EMBASE, SCOPUS, PUBMED/MEDLINE, LILACS, WEB OF SCIENCE and PEDRO. Results The initial search identified a total of 156 articles and 2 articles were identified from the manual search in the references of eligible studies. Next, 4 studies that used daily step count measurements for descriptive synthesis were included, and three of the four also used sleep and heart rate data to assess frailty in older adults. The results obtained in this review indicate that parameters derived from smartwatches have been used to identify stages of frailty in different areas, with the majority of studies being associated with other clinical conditions. Conclusion Smartwatches are an excellent frailty monitoring tool through daily measurements of step count, sleep data and heart rate. The results obtained with the use of these devices may suggest a broader evaluation of older adults who face an increased risk of developing Frailty Syndrome.

2.
Chinese Journal of Clinical Thoracic and Cardiovascular Surgery ; (12): 229-235, 2024.
Article in Chinese | WPRIM | ID: wpr-1013499

ABSTRACT

@#Objective To explore the reliability and safety of continuous monitoring of vital signs in patients using wireless wearable monitoring devices after video-assisted thoracoscopic surgery (VATS) for lung cancer. Methods The patients undergoing VATS for lung cancer in West China Hospital, Sichuan University from May to August 2023 were prospectively enrolled. Both wireless wearable and traditional wired devices were used to monitor the vital signs of patients after surgery. Spearman correlation analysis, paired sample t test and ratio Bland-Altman method were used to test the correlation, difference and consistency of monitoring data measured by the two devices. The effective monitoring rate of the wireless wearable device within 12 hours was calculated to test the reliability of its continuous monitoring. Results A total of 20 patients were enrolled, including 15 females and 5 males with an average age of 46.20±11.52 years. Data collected by the two monitoring devices were significantly correlated (P<0.001). Respiratory rate and blood oxygen saturation data collected by the two devices showed no statistical difference (P>0.05), while heart rate measured by wireless wearable device was slightly lower (=−0.307±1.073, P<0.001), and the blood pressure (=1.259±5.354, P<0.001) and body temperature(=0.115±0.231, P<0.001) were slightly higher. The mean ratios of heart rate, respiratory rate, blood oxygen saturation, blood pressure and body temperature collected by the two devices were 0.996, 1.004, 1.000, 1.014, and 1.003, respectively. The 95% limits of agreement (LoA) and 95% confidence interval of 95%LoA of each indicator were within the clinically acceptable limit. The effective monitoring rate of each vital signs within 12 hours was above 98%. Conclusion The wireless wearable device has a high accuracy and reliability for continuous monitoring vital signs of patients after VATS for lung cancer, which provides a security guarantee for subsequent large-scale clinical application and further research.

3.
Acta fisiátrica ; 30(4): 245-250, dez. 2023.
Article in English | LILACS-Express | LILACS | ID: biblio-1531082

ABSTRACT

Gait analysis in a laboratory may be expensive, time-consuming, and restricted to a controlled environment. Validated wearable technology may be an alternative to such analysis. However, wearable technologies should demonstrate reference values of a healthy population. Objective: To establish spatio-temporal gait reference values of an accelerometer (G-Walk) in a healthy Brazilian population. Methods: This is a cross-sectional study with 124 healthy subjects evaluated with G-Walk in the 6-minute and 10-meter walk tests (6MWT and 10MWT). Gait parameters of Velocity, Cadence, Distance, and gait symmetry variables were retrieved for analysis. Clinical and demographical characteristics were also collected and tested with simple linear regression as covariables of the gait characteristics. The bootstrapped 5th percentile of the gait parameter established the reference values. If a covariable influence was found, the reference values were established by subgroup analysis according to the covariable. Results: The study analyzed 114 subjects, mostly women (67.74%), aged 39.36 (SD 12.18). Height was a covariable of cadence for the 10MWT and cadence and stride length for the 6MWT. Age and sex combined were covariables of 6MWT velocity, and sex alone was a covariable of 6MWT. All reference values for symmetry were above 89%, velocity at the 10MWT was above 1.0m/s, and distance at the 6MWT was 354m and 359.5 for females and males, respectively. Conclusions: Our study generated reference values for spatio-temporal gait analysis with G-Walk of a population of a major urban area, considering the covariables of age, height, and sex.


Análises da marcha em laboratório tem custo elevado, demandando tempo e ambiente controlado. Wearables são equipamentos portáteis que podem ser alternativas aos laboratórios. Valores de referência podem determinar parâmetros para análises de marcha de pessoas com patologias. Objetivo: Estabelecer valores de referência espaço-temporais de um acelerômetro (G-Walk) em uma população saudável. Métodos: Trata-se de um estudo transversal com indivíduos saudáveis avaliados com G-Walk nos testes de caminhada de 6 minutos e de 10 metros (TC6 e TC10). Velocidade, cadência, distância e de simetria da marcha foram analisados. Características clínicas e demográficas também foram testadas com regressão linear simples como covariáveis das características da marcha. Os valores de referência foram estabelecidos pelo quinto percentil dos parâmetros por bootstrap e na presença de covariáveis demográficas, os valores foram estabelecidos por análise de subgrupos, de acordo com a covariável. Resultados: O estudo analisou 114 sujeitos, em sua maioria mulheres (67,74%), com idade de 39,36 (DP 12,18). A altura foi uma covariável da cadência do TC10 e da cadência e comprimento da passada do TC6. Idade e sexo combinados foram covariáveis da velocidade do TC6, e o sexo foi uma covariável do TC6. Todos os valores de referência para simetria foram superiores a 89%, a velocidade no TC10 foi superior a 1,0m/s e a distância no TC6 foi de 354m e 359,5m para mulheres e homens, respectivamente. Conclusões: Nosso estudo gerou valores de referência para análise espaço-temporal da marcha com o equipamento G-Walk em uma população de uma grande área urbana, considerando as covariáveis idade, altura e sexo.

4.
Rev. cuba. inform. méd ; 15(1)jun. 2023.
Article in Spanish | LILACS-Express | LILACS | ID: biblio-1521935

ABSTRACT

La tecnología y la inteligencia artificial ganan cada vez más espacio en el diagnóstico, tratamiento y seguimiento del paciente: los wearables, las apps mHealth y los dispositivos basados en la tecnología robótica son un apoyo para el personal de salud de enfermería. A través del método hermenéutico se analizaron los resultados de una revisión bibliográfica de documentos seleccionados en Pubmed, Scielo y ELSEVIER, para describir el estado del arte de las wearables, apps y dispositivos tecnológicos que pueden ser empleados en el cuidado enfermero; lo que constituyó el objetivo de la presente investigación. Se procesaron diecisiete artículos y tres informes. Los resultados se muestran en tres categorías donde se identificaron: tres wereables, ocho aplicaciones móviles y tres robots que se emplean en enfermería. Se concluye que los wereables, las aplicaciones móviles y la robótica tienen hoy día una presencia trascendente en los espacios de cuidado y atención de salud y que acercan al personal de enfermería a sus pacientes. La tecnología no suple el cuidado de enfermería, pero si constituye una herramienta de apoyo en su quehacer.


Technology and artificial intelligence are gaining more and more space in patient diagnosis, treatment and monitoring; wearables, mHealth apps and devices based on robotic technology are a support for nursing health personnel. Through the hermeneutical method, the bibliographic review was carried out with the analysis and interpretation of the selected documents in Pubmed, Scielo and ELSEVIER: seventeen articles and three reports were processed. The results are shown in three categories identified as: three wearable, eight mobile applications and three robots used in nursing. The conclusion is that wearables, mobile applications and robotics today have a significant presence in healthcare spaces nursing staff closer to their patients. Technology does not replace nursing care but it is a support tool in their work.

5.
MHSalud ; 20(1): 1-13, Jan.-Jun. 2023. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1558356

ABSTRACT

Abstract: The increasing trend and projection for the use of wearable sensors technology in the general population have led to the development of different inertial measurement units (IMU) to monitor activity and motion variables during exercise or sports. This study aims to systematize the practical experience of developing an inertial measurement device to quantify external load in real time for runners. This article shows the installed capacity of Costa Rican higher education institutions to integrate existing sensors available in the international market in a single device to program it and use it for different sport science purposes. Two scientific laboratories joined resources and integrated an interdisciplinary team composed of exercise physiologists, sports scientists, physiotherapists, and electromechanical engineers who globally faced the challenge of creating SafeRun IMU. In this case, an IMU was constructed with great success, capable of quantifying external load variables controlled from a mobile device in real-time. The results showed an acceptable agreement and reliability of the data extracted from the IMU. The information collected from this IMU could be used to control and quantify external load to develop or redirect exercise programming and prescription and prevent overuse injuries or physical overload conditions. This device differs from other existing ones due to its small size and portability, which benefits its commercialization and massification.


Resumen: La creciente tendencia y proyección para el uso de tecnología de sensores portátiles en la población en general ha llevado al desenvolvimiento de diferentes dispositivos de medición inercial, para monitorear las variables de actividad y movimiento durante el ejercicio o los deportes. El objetivo del presente estudio es sistematizar la experiencia práctica de desarrollar un dispositivo de medición inercial, con el fin de cuantificar la carga externa en tiempo real para los corredores. Este artículo demostró la capacidad instalada de las instituciones de educación superior de Costa Rica para integrar los sensores existentes disponibles en el mercado internacional en un solo dispositivo, con el propósito de programarlo y usarlo en diferentes fines de ciencias del deporte. Dos laboratorios científicos unieron esfuerzos e integraron un equipo interdisciplinario compuesto por fisiólogos del ejercicio, científicos del deporte, fisioterapeutas e ingenieros electromecánicos, quienes, de manera global, afrontaron el reto de la creación de la IMU. En este caso, se desarrolló una IMU con gran éxito, capaz de cuantificar las variables de carga externa controladas desde un dispositivo móvil en tiempo real. Los resultados mostraron un nivel de concordancia y fiabilidad aceptable de los datos extraídos de la IMU. La información obtenida de esta IMU podría usarse para controlar y cuantificar la carga externa, con miras a desplegar o redirigir la programación y prescripción de ejercicios, así como con el afán de prevenir lesiones por sobreuso o condiciones de sobrecarga física.


Resumo: A crescente tendência e projeção para o uso da tecnologia de sensores portáteis na população em geral levou ao desenvolvimento de diferentes dispositivos de medição inercial para monitorar as variáveis de atividade e de movimento durante o exercício ou esportes. O objetivo do presente estudo é sistematizar a experiência prática de desenvolvimento de um dispositivo de medição inercial, a fim de quantificar a carga externa em tempo real para os corredores. Este artigo demonstrou a capacidade instalada das instituições de ensino superior da Costa Rica para integrar os sensores existentes disponíveis no mercado internacional em um único dispositivo, com a finalidade de programá-lo e usá-lo para diferentes fins de ciência do esporte. Dois laboratórios científicos uniram forças e integraram uma equipe interdisciplinar composta por fisiologistas do exercício, cientistas do esporte, fisioterapeutas e engenheiros eletromecânicos, que, de forma global, enfrentaram o desafio de criar a IMU. Neste caso, foi desenvolvida uma IMU de grande sucesso, capaz de quantificar variáveis de carga externas controladas a partir de um dispositivo móvel em tempo real. Os resultados mostraram um nível aceitável de concordância e confiabilidade dos dados extraídos da IMU. As informações obtidas desta IMU poderiam ser utilizadas para monitorar e quantificar a carga externa, com o objetivo de implantar ou redirecionar a programação e prescrição de exercícios, bem como com o objetivo de evitar lesões por uso excessivo ou condições de sobrecarga física.

6.
Rev. bras. ativ. fís. saúde ; 28: 1-11, mar. 2023.
Article in English | LILACS | ID: biblio-1551605

ABSTRACT

The health impacts of physical activity (PA), sedentary behavior (SB), and sleep are well established; thereby, the identification of instruments to assess and monitor these behaviors at a populational lev-el is relevant. In this context, smartwatches, which are wristwatch-shaped devices equipped with sen-sors, have been identified as alternatives for objectively measuring PA, SB, and sleep. Therefore, this protocol aimed at describing the goals and methods of a scoping review to map the literature on the use of smartwatches to objectively measure PA, SB, and/or sleep across the lifespan (e.g., children, adolescents, adults, and elderly) and in different contexts. Studies will be included if they use smart-watches to objectively measure at least one of the behaviors (PA, SB, and sleep) in children, adoles-cents, adults, and older adults, published after 2013. No language filter will be applied. Searches will be carried out in six databases (Pubmed/Medline, Scopus, Web of Science, LILACS, IEEE Xplore Digital Library, Scielo, Health Technology Assessment Database, and Cochrane clinical trials) and two clinical trial repositories. The screening and data extraction will be performed independently by two authors who had previous experience in reviews and technologies. The synthesis of the results will follow the Joanna Briggs Institute framework for extracting the results in scoping reviews. The results can contribute to scientific progress by identifying gaps and research trends, guiding future studies, and informing companies, healthcare professionals, and the general public who use smart-watch as a measurement tool for physical activity, sedentary behavior, and sleep


Os impactos da atividade física (AF), comportamento sedentário (CS) e sono na saúde são bem estabelecidos, tornando-se relevante identificar instrumentos que permitam avaliar e monitorar esses comportamentos em nível populacional. Nesse contexto, os smartwatches, que são dispositivos em formato de relógio de pulso, com-postos por sensores, tem sido apontado como alternativa para mensurar objetivamente AF, CS e sono. Portanto, o objetivo deste protocolo foi descrever os objetivos e métodos de uma revisão de escopo para mapear a literatura científica sobre o uso de smartwatches para medir objetivamente AF, CS e/ou sono em diferentes populações e contextos. Os estudos serão incluídos se usarem smartwatches para medir objetivamente pelo menos um dos comportamentos (AF, CS e sono) em crianças, adolescentes, adultos e idosos, publicados após 2013. Nenhum filtro de idioma será aplicado. As buscas serão realizadas em sete bases de dados (Pubmed/Medline, Scopus, Web of Science, IEEE Xplore Digital Library, Scielo, LILACS, Health Technology Assessment Database e Cochrane Clinical Trials) e dois repositórios de ensaios clínicos. A triagem e extração dos dados serão realizadas de forma independente por dois autores com experiência prévia em revisões e tecnologias. A síntese dos resultados seguirá o framework do Joanna Briggs Institute para extração dos resultados nas revisões de escopo. Os resultados podem contribuir para o progresso científico, identificando lacunas e tendências de pesquisa, orientando futuros estudos, empresas que atuam neste mercado, profissionais de saúde e o público em geral que utilizam smartwatch como um instrumento de medição para atividade física, comportamento sedentário e sono


Subject(s)
Sleep , Wearable Electronic Devices , Exercise , Sedentary Behavior
7.
Rev. bras. ativ. fís. saúde ; 28: 1-10, mar. 2023. tab, fig
Article in Portuguese | LILACS | ID: biblio-1551620

ABSTRACT

Multicomponent programs to promote physical activity have shown promise to help adolescents to increase physical activity levels. Although evaluation of the intervention implementation process is important, information about this evaluation is rarely reported. This observational study aimed to evaluate the implementation of a 12-week physical activity intervention program for adolescents. The ActTeens program consists of three components: (1) structured physical activity sessions; (2) self-monitoring associated with daily goal setting; (3) healthy lifestyle messages (mHealth). The evaluation of the process was carried out through observations and self-reported information from the students. Fifty-one adolescents (37.5% girls) answered the questionnaire. Overall, the reach was 73.3%, retention rate 96.3%, and satisfaction with the intervention was high (score 5). The structured sessions presented high fidelity, and good acceptability among adolescents, with an average attend-ance rate of 93.7%. Participants rated the sessions as enjoyable and the teacher's role as excellent. Adherence to self-monitoring (goal setting with a pedometer) was moderate and 57.8% of adoles-cents reported using the device daily. In addition, adolescents reported that the use of a pedometer increased their motivation to practice physical activity (72.4%). Satisfaction with the messages was considered low, with only 37.8% agreeing that the messages promoted the adoption of a healthy lifestyle. In conclusion, the structured sessions and the self-monitoring showed good acceptability among adolescents, and these strategies were considered relevant to promote a more physically active lifestyle. However, the component mHealth, when used as a single strategy, did not aid the adoption of healthy behavior


Programas multicomponentes para promoção da atividade física têm se mostrado promissores para auxiliar os adolescentes a aumentar seus níveis de atividade física. Embora a avaliação do processo de implementação da intervenção seja importante, informações sobre esta avaliação raramente são relatadas. O presente estudo teve como objetivo avaliar a implementação de um programa de intervenção de atividade física de 12 sema-nas para adolescentes. O programa ActTeens consiste de três componentes principais: (1) sessões estruturadas de atividade física; (2) auto-monitoramento associado com estabelecimento de metas diárias; (3) orientações sobre um estilo de vida saudável (mHealth). A avalição do processo foi por meio de observações e informações autorreferidas dos alunos. Cinquenta e um adolescentes (37,5% meninas) responderam o questionário. No geral, o alcance foi de 73,3%, a taxa de retenção 96,3% e satisfação com a intervenção foi alta (escore 5). As sessões estruturadas tiveram alta fidelidade, boa aceitabilidade entre os adolescentes com a frequência média de participação de 93,7% por aula. Os participantes classificaram as sessões como prazerosas e o papel do pro-fessor como excelente. A aderência ao automonitoramento (estabelecimento de metas com pedômetro) foi mode-rada e 57,8% dos adolescentes relataram usar o dispositivo diariamente. Além disso, os adolescentes relataram que o uso do pedômetro aumentou a motivação para a prática de atividade física (72,4%). A satisfação com as mensagens por aplicativo foi considerada baixa, sendo que apenas 37,8% concordaram que as mensagens promoveram a adoção de um estilo de vida saudável. Em conclusão, as sessões estruturadas e o uso do pedô-metro para automonitoramento mostraram boa aceitabilidade entre os adolescentes, e estas estratégias foram consideradas relevantes para promover um estilo de vida fisicamente mais ativo. Entretanto, o componente mHealth, quando usado como uma estratégia única, não auxiliou na adoção de um comportamento saudável


Subject(s)
Humans , Male , Female , Adolescent , Adolescent , Implementation Science , Exercise , Telemedicine , Wearable Electronic Devices
8.
Rev. bras. ciênc. esporte ; 45: e20230055, 2023. tab, graf
Article in Portuguese | LILACS-Express | LILACS | ID: biblio-1529739

ABSTRACT

RESUMO Este artigo explora a produção de significados sobre prática de dados na cultura digital a partir de uma experiência de autorrastreamento de exercícios físicos. O objetivo é problematizar a emergência de um corpo que afetou e foi afetado por uma tecnologia vestível durante uma experiência de autorrastreamento. Metodologicamente, o trabalho seguiu o formato de um relato ator-rede pautado por uma vivência de autorrastreamento. Em sua composição analítica-descritiva, o texto articula elementos da Teoria Ator-Rede e conceitos que enredam estudos de autorrastreamento como prática de dados. Foi possível identificar mobilizadores do "faz-fazer" produzido nas múltiplas afetações de um corpo híbrido, performativo e sensível às diferenças registradas no mundo.


ABSTRACT This article explores the production of meanings about data practices in digital culture based on an experience of self-tracking physical exercises. The aim is to problematize the emergence of a body that affected and was affected by a wearable technology during a self-tracking experience. Methodologically, the work followed the format of an actor-network report guided by an experience of self-tracking. In its analytical-descriptive composition, the text articulates elements of the Actor-Network Theory and concepts that entangle self-tracking studies as a data practice. It was possible to identify mobilizers of the "making-do" produced in the multiple affectations of a hybrid body, performative and sensitive to the differences registered in the world.


RESUMEN Este artículo explora la producción de significados sobre práctica de datos en la cultura digital a partir de una experiencia de autoseguimiento de ejercicios físicos. El objetivo es problematizar la emergencia de un cuerpo que afectó y fue afectado por una tecnología vestible durante una experiencia de autoseguimiento. Metodológicamente, el trabajo siguió el formato de un informe actor-red pautado por una experiencia de autoseguimiento. En su composición analítico-descriptiva, el texto articula elementos de la Teoría del Actor-Red y conceptos que enredan estudios de autoseguimiento como práctica de datos. Fue posible identificar movilizadores del 'hace-hacer' producido en las múltiples afectaciones de un cuerpo híbrido, performativo y sensible a las diferencias registradas en el mundo.

9.
Rev. CEFAC ; 25(1): e10522, 2023. tab
Article in English | LILACS-Express | LILACS | ID: biblio-1431262

ABSTRACT

ABSTRACT Purpose: to develop a scoping review protocol that seeks to identify which procedures and for what purpose wearables available in the literature are being used on the masseter and temporal muscles. Methods: the approach recommended by The Joanna Briggs Institute and the PRISMA-P guidelines, will follow. Databases to be searched include PubMed, Cochrane Library, LILACS, Scopus, Web of Science, Embase and grey literature. In the first step, two reviewers will independently evaluate the articles by titles and abstracts, then, a full review of the selected articles will be performed according to the inclusion and exclusion criteria. Any uncertainties or differences of opinion will be discussed for consensus. Articles published without date or language restrictions will be included. All components will be presented in tables and flow charts. In addition, a narrative summary of each component will be included for further details. Final Considerations: this protocol will present the general state of the literature on the use of wearables in masseter and temporal masticatory muscles.


RESUMO Objetivo: desenvolver um protocolo de revisão de escopo que busque identificar quais procedimentos e com que finalidade as tecnologias vestíveis disponíveis na literatura estão sendo usadas nos músculos masseter e temporal. Métodos: seguirá a abordagem recomendada pelo The Joanna Briggs Institute e as diretrizes PRISMA-P. As bases de dados a serem pesquisadas incluem PubMed, Cochrane Library, LILACS, Scopus, Web of Science, Embase e literatura cinzenta. Em uma primeira etapa, dois revisores, de forma independente, avaliarão os artigos pelos títulos e resumos, em seguida, será realizada a revisão na íntegra dos artigos selecionados de acordo com os critérios de inclusão e exclusão. Quaisquer incertezas ou diferenças de opinião serão discutidas para consenso. Serão incluídos artigos publicados sem restrição de data e idioma. Todos os componentes serão apresentados em tabelas e fluxogramas. Além disso, um resumo narrativo de cada componente será incluído para mais detalhes. Considerações finais: este protocolo irá apresentar o estado geral da literatura acerca do uso das tecnologias vestíveis na musculatura mastigatória de masseter e temporal.

10.
Journal of Biomedical Engineering ; (6): 1108-1116, 2023.
Article in Chinese | WPRIM | ID: wpr-1008940

ABSTRACT

Patients with acute heart failure (AHF) often experience dyspnea, and monitoring and quantifying their breathing patterns can provide reference information for disease and prognosis assessment. In this study, 39 AHF patients and 24 healthy subjects were included. Nighttime chest-abdominal respiratory signals were collected using wearable devices, and the differences in nocturnal breathing patterns between the two groups were quantitatively analyzed. Compared with the healthy group, the AHF group showed a higher mean breathing rate (BR_mean) [(21.03 ± 3.84) beat/min vs. (15.95 ± 3.08) beat/min, P < 0.001], and larger R_RSBI_cv [70.96% (54.34%-104.28)% vs. 58.48% (45.34%-65.95)%, P = 0.005], greater AB_ratio_cv [(22.52 ± 7.14)% vs. (17.10 ± 6.83)%, P = 0.004], and smaller SampEn (0.67 ± 0.37 vs. 1.01 ± 0.29, P < 0.001). Additionally, the mean inspiratory time (TI_mean) and expiration time (TE_mean) were shorter, TI_cv and TE_cv were greater. Furthermore, the LBI_cv was greater, while SD1 and SD2 on the Poincare plot were larger in the AHF group, all of which showed statistically significant differences. Logistic regression calibration revealed that the TI_mean reduction was a risk factor for AHF. The BR_ mean demonstrated the strongest ability to distinguish between the two groups, with an area under the curve (AUC) of 0.846. Parameters such as breathing period, amplitude, coordination, and nonlinear parameters effectively quantify abnormal breathing patterns in AHF patients. Specifically, the reduction in TI_mean serves as a risk factor for AHF, while the BR_mean distinguishes between the two groups. These findings have the potential to provide new information for the assessment of AHF patients.


Subject(s)
Humans , Heart Failure/diagnosis , Prognosis , Respiration , Wearable Electronic Devices , Acute Disease
11.
Journal of Biomedical Engineering ; (6): 1093-1101, 2023.
Article in Chinese | WPRIM | ID: wpr-1008938

ABSTRACT

Rapid and accurate identification and effective non-drug intervention are the worldwide challenges in the field of depression. Electroencephalogram (EEG) signals contain rich quantitative markers of depression, but whole-brain EEG signals acquisition process is too complicated to be applied on a large-scale population. Based on the wearable frontal lobe EEG monitoring device developed by the authors' laboratory, this study discussed the application of wearable EEG signal in depression recognition and intervention. The technical principle of wearable EEG signals monitoring device and the commonly used wearable EEG devices were introduced. Key technologies for wearable EEG signals-based depression recognition and the existing technical limitations were reviewed and discussed. Finally, a closed-loop brain-computer music interface system for personalized depression intervention was proposed, and the technical challenges were further discussed. This review paper may contribute to the transformation of relevant theories and technologies from basic research to application, and further advance the process of depression screening and personalized intervention.


Subject(s)
Humans , Algorithms , Depression/therapy , Music , Music Therapy , Electroencephalography , Wearable Electronic Devices
12.
Journal of Biomedical Engineering ; (6): 1084-1092, 2023.
Article in Chinese | WPRIM | ID: wpr-1008937

ABSTRACT

Electrocardiogram (ECG) monitoring owns important clinical value in diagnosis, prevention and rehabilitation of cardiovascular disease (CVD). With the rapid development of Internet of Things (IoT), big data, cloud computing, artificial intelligence (AI) and other advanced technologies, wearable ECG is playing an increasingly important role. With the aging process of the population, it is more and more urgent to upgrade the diagnostic mode of CVD. Using AI technology to assist the clinical analysis of long-term ECGs, and thus to improve the ability of early detection and prediction of CVD has become an important direction. Intelligent wearable ECG monitoring needs the collaboration between edge and cloud computing. Meanwhile, the clarity of medical scene is conducive for the precise implementation of wearable ECG monitoring. This paper first summarized the progress of AI-related ECG studies and the current technical orientation. Then three cases were depicted to illustrate how the AI in wearable ECG cooperate with the clinic. Finally, we demonstrated the two core issues-the reliability and worth of AI-related ECG technology and prospected the future opportunities and challenges.


Subject(s)
Humans , Artificial Intelligence , Reproducibility of Results , Electrocardiography , Cardiovascular Diseases , Wearable Electronic Devices
13.
Journal of Biomedical Engineering ; (6): 1071-1083, 2023.
Article in Chinese | WPRIM | ID: wpr-1008936

ABSTRACT

The aging population and the increasing prevalence of chronic diseases in the elderly have brought a significant economic burden to families and society. The non-invasive wearable sensing system can continuously and real-time monitor important physiological signs of the human body and evaluate health status. In addition, it can provide efficient and convenient information feedback, thereby reducing the health risks caused by chronic diseases in the elderly. A wearable system for detecting physiological and behavioral signals was developed in this study. We explored the design of flexible wearable sensing technology and its application in sensing systems. The wearable system included smart hats, smart clothes, smart gloves, and smart insoles, achieving long-term continuous monitoring of physiological and motion signals. The performance of the system was verified, and the new sensing system was compared with commercial equipment. The evaluation results demonstrated that the proposed system presented a comparable performance with the existing system. In summary, the proposed flexible sensor system provides an accurate, detachable, expandable, user-friendly and comfortable solution for physiological and motion signal monitoring. It is expected to be used in remote healthcare monitoring and provide personalized information monitoring, disease prediction, and diagnosis for doctors/patients.


Subject(s)
Humans , Aged , Monitoring, Physiologic/methods , Wearable Electronic Devices , Chronic Disease
14.
Journal of Biomedical Engineering ; (6): 1053-1061, 2023.
Article in Chinese | WPRIM | ID: wpr-1008934

ABSTRACT

Wearable monitoring, which has the advantages of continuous monitoring for a long time with low physiological and psychological load, represents a future development direction of monitoring technology. Based on wearable physiological monitoring technology, combined with Internet of Things (IoT) and artificial intelligence technology, this paper has developed an intelligent monitoring system, including wearable hardware, ward Internet of Things platform, continuous physiological data analysis algorithm and software. We explored the clinical value of continuous physiological data using this system through a lot of clinical practices. And four value points were given, namely, real-time monitoring, disease assessment, prediction and early warning, and rehabilitation training. Depending on the real clinical environment, we explored the mode of applying wearable technology in general ward monitoring, cardiopulmonary rehabilitation, and integrated monitoring inside and outside the hospital. The research results show that this monitoring system can be effectively used for monitoring of patients in hospital, evaluation and training of patients' cardiopulmonary function, and management of patients outside hospital.


Subject(s)
Humans , Artificial Intelligence , Internet of Things , Wearable Electronic Devices , Monitoring, Physiologic/methods , Electrocardiography , Internet
15.
Journal of Biomedical Engineering ; (6): 1045-1052, 2023.
Article in Chinese | WPRIM | ID: wpr-1008933

ABSTRACT

This review article aims to explore the major challenges that the healthcare system is currently facing and propose a new paradigm shift that harnesses the potential of wearable devices and novel theoretical frameworks on health and disease. Lifestyle-induced diseases currently account for a significant portion of all healthcare spending, with this proportion projected to increase with population aging. Wearable devices have emerged as a key technology for implementing large-scale healthcare systems focused on disease prevention and management. Advancements in miniaturized sensors, system integration, the Internet of Things, artificial intelligence, 5G, and other technologies have enabled wearable devices to perform high-quality measurements comparable to medical devices. Through various physical, chemical, and biological sensors, wearable devices can continuously monitor physiological status information in a non-invasive or minimally invasive way, including electrocardiography, electroencephalography, respiration, blood oxygen, blood pressure, blood glucose, activity, and more. Furthermore, by combining concepts and methods from complex systems and nonlinear dynamics, we developed a novel theory of continuous dynamic physiological signal analysis-dynamical complexity. The results of dynamic signal analyses can provide crucial information for disease prevention, diagnosis, treatment, and management. Wearable devices can also serve as an important bridge connecting doctors and patients by tracking, storing, and sharing patient data with medical institutions, enabling remote or real-time health assessments of patients, and providing a basis for precision medicine and personalized treatment. Wearable devices have a promising future in the healthcare field and will be an important driving force for the transformation of the healthcare system, while also improving the health experience for individuals.


Subject(s)
Humans , Artificial Intelligence , Wearable Electronic Devices , Monitoring, Physiologic/methods
16.
Journal of Biomedical Engineering ; (6): 709-717, 2023.
Article in Chinese | WPRIM | ID: wpr-1008891

ABSTRACT

Patients with amyotrophic lateral sclerosis ( ALS ) often have difficulty in expressing their intentions through language and behavior, which prevents them from communicating properly with the outside world and seriously affects their quality of life. The brain-computer interface (BCI) has received much attention as an aid for ALS patients to communicate with the outside world, but the heavy device causes inconvenience to patients in the application process. To improve the portability of the BCI system, this paper proposed a wearable P300-speller brain-computer interface system based on the augmented reality (MR-BCI). This system used Hololens2 augmented reality device to present the paradigm, an OpenBCI device to capture EEG signals, and Jetson Nano embedded computer to process the data. Meanwhile, to optimize the system's performance for character recognition, this paper proposed a convolutional neural network classification method with low computational complexity applied to the embedded system for real-time classification. The results showed that compared with the P300-speller brain-computer interface system based on the computer screen (CS-BCI), MR-BCI induced an increase in the amplitude of the P300 component, an increase in accuracy of 1.7% and 1.4% in offline and online experiments, respectively, and an increase in the information transfer rate of 0.7 bit/min. The MR-BCI proposed in this paper achieves a wearable BCI system based on guaranteed system performance. It has a positive effect on the realization of the clinical application of BCI.


Subject(s)
Humans , Amyotrophic Lateral Sclerosis , Brain-Computer Interfaces , Quality of Life , Event-Related Potentials, P300 , Wearable Electronic Devices
17.
Acta Pharmaceutica Sinica B ; (6): 2298-2309, 2023.
Article in English | WPRIM | ID: wpr-982875

ABSTRACT

Transdermal drug delivery systems (TDDs) avoid gastrointestinal degradation and hepatic first-pass metabolism, providing good drug bioavailability and patient compliance. One emerging type of TDDs is the wearable patch worn on the skin surface to deliver medication through the skin. They can generally be grouped into passive and active types, depending on the properties of materials, design principles and integrated devices. This review describes the latest advancement in the development of wearable patches, focusing on the integration of stimulus-responsive materials and electronics. This development is deemed to provide a dosage, temporal, and spatial control of therapeutics delivery.

18.
Chinese Journal of Medical Instrumentation ; (6): 278-283, 2023.
Article in Chinese | WPRIM | ID: wpr-982228

ABSTRACT

A protective device was designed that can be worn on the elderly, which consists of protective airbag, control box and protective mechanism. The combined acceleration, combined angular velocity and human posture angle are selected as the parameters to determine the fall, and the threshold algorithm and SVM algorithm are used to detect the fall. The protective mechanism is an inflatable device based on CO2 compressed air cylinder, and the equal-width cam structure is applied to its transmission part to improve the puncture efficiency of the compressed gas cylinder. A fall experiment was designed to obtain the combined acceleration and angular velocity eigenvalues of fall actions (forward fall, backward fall and lateral fall) and daily activities (sitting-standing, walking, jogging and walking up and down stairs), showing that the specificity and sensitivity of the protection module reached 92.1% and 84.4% respectively, which verified the feasibility of the fall protection device.


Subject(s)
Humans , Aged , Monitoring, Ambulatory , Activities of Daily Living , Wearable Electronic Devices , Walking , Acceleration , Algorithms
19.
Journal of Biomedical Engineering ; (6): 350-357, 2023.
Article in Chinese | WPRIM | ID: wpr-981549

ABSTRACT

The gait acquisition system can be used for gait analysis. The traditional wearable gait acquisition system will lead to large errors in gait parameters due to different wearing positions of sensors. The gait acquisition system based on marker method is expensive and needs to be used by combining with the force measurement system under the guidance of rehabilitation doctors. Due to the complex operation, it is inconvenient for clinical application. In this paper, a gait signal acquisition system that combines foot pressure detection and Azure Kinect system is designed. Fifteen subjects are organized to participate in gait test, and relevant data are collected. The calculation method of gait spatiotemporal parameters and joint angle parameters is proposed, and the consistency analysis and error analysis of the gait parameters of proposed system and camera marking method are carried out. The results show that the parameters obtained by the two systems have good consistency (Pearson correlation coefficient r ≥ 0.9, P < 0.05) and have small error (root mean square error of gait parameters is less than 0.1, root mean square error of joint angle parameters is less than 6). In conclusion, the gait acquisition system and its parameter extraction method proposed in this paper can provide reliable data acquisition results as a theoretical basis for gait feature analysis in clinical medicine.


Subject(s)
Humans , Biomechanical Phenomena , Gait , Lower Extremity , Foot , Gait Analysis , Reproducibility of Results
20.
Chinese Journal of Experimental Ophthalmology ; (12): 746-754, 2023.
Article in Chinese | WPRIM | ID: wpr-990908

ABSTRACT

Objective:To evaluate the accuracy and stability of Eye-Monitor, a smart wearable device, in quantifying environmental risks related to myopia.Methods:A diagnostic test study was conducted.Forty-two subjects aged 18-25 years old were recruited from Shandong University of Traditional Chinese Medicine in December 2021.Forty-two Eye-Monitors were selected from 80 devices using the simple random sampling method.Static and dynamic tests were carried out to compare environmental risks related to myopia.The static tests included measurements under different working distances, different head tilt angles when sitting, and different light intensities.The dynamic tests included measurements under different near-work time, different outdoor activity time, different time watching computers, and different phone viewing time.Eye-Monitor with the largest sum of absolute values of total relative error was selected, Spearman rank correlation analysis was used to analyze the correlation between the set values and Eye-Monitor measurements, and the accuracy of the objectively measured values was evaluated by Bland-Altman consistency analysis.The stability of the objectively measured values from Eye-Monitor was evaluated by the coefficient of variation.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of the Affiliated Eye Hospital of Shandong University of Traditional Chinese Medicine (No.HEC-KS-2021005KY). Written informed consent was obtained from each subject.Results:There were significant correlations between the measured values and setting values in the working distance, head tilt angle when sitting, indoor light intensity, total near-work time, average continuous near-work time, outdoor activity time, time watching computers, and time viewing phones ( rs=0.999, 0.998, 0.999, 0.998, 0.976, 0.959, 0.992, 0.997; all at P<0.001), with the 95% limits of agreement (LoA) of-1.23-2.32 cm, -1.49-4.24°, -13.90-26.90 lx, -6.46-0.11 minutes, -4.50-1.20 minutes, -4.01-1.34 minutes, -2.54-1.94 minutes and-2.15-0.45 minutes, respectively.More than 95% of dots were within the clinically acceptable LoA.The coefficients of variation of the measured values ranged from 1.23%-2.99%, 2.39%-8.25%, 0.87%-8.03%, 1.49%-12.52%, 6.63%-13.59%, 0.00%-14.15%, 1.20%-8.33 and 1.49%-12.51%, respectively, showing good stability.Eye-Monitor had good accuracy in measuring outdoor light intensity (95% LoA: -336.50-130.00 lx). Conclusions:The smart wearable device Eye-Monitor can be used to objectively monitor working distance, head tilt angle when sitting, indoor light intensity, total near-work time, average continuous near-work time, outdoor activity time, time watching computers, and time watching phones, which are with good accuracy and stability.

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