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1.
Chinese Journal of Health Management ; (6): 350-355, 2023.
Article in Chinese | WPRIM | ID: wpr-993672

ABSTRACT

Objective:To analyze the application effect of the information platform based on the Internet of Things (IoT) in the screening and management of patients with chronic obstructive pulmonary disease (COPD).Methods:In this cross-sectional study, 151 062 residents who participated in the screening in the districts covered by 33 general hospitals and 289 primary medical institutions within the framework of Henan Provincial Center for COPD Prevention and Treatment from November 2021 to October 2022 were included as the subjects. Spirometer based on the IoT was used to conduct pulmonary function tests for subjects who scored 16 points or more with COPD Screening Questionnaire (COPD-SQ), and the subjects were evaluated and managed through the structured electronic data in the information platform. The distribution characteristics and follow-up of the subjects and COPD patients were described and the application effect of this strategy in patients screening and management was analyzed.Results:A total of 151 062 residents with complete basic information in the information platform completed the questionnaire. High-risk population of COPD accounted for 26.5% (40 042/151 062) of the population who received the questionnaire screening, and more than 50% had respiratory symptoms, such as chronic cough (59.4%), or shortness of breath (77.6%). The proportion of high-risk population increased with age, especially after 50 years old. Compared with non-smokers, the proportion of high-risk group was significantly higher (77.1% vs 16.4%) in the group with smoking index over 600. Biofuel exposure (61.3% vs 22.1%) and family history of respiratory diseases (64.2% vs 22.6%) were associated with an increased proportion of high-risk groups, with statistically significant differences ( P<0.001). 5 268 patients were diagnosed with COPD by pulmonary function tests, and the prevalence of COPD in high-risk groups was 27.8% (5 268/18 965), the prevalence rate of male was 34.0% (3 942/11 588), which was higher than that of female 18.0% (1 326/7 377). 2 950 patients (56.0%) completed at least one follow-up of symptom questionnaire and 510 patients (9.7%) completed more than one follow-up of pulmonary function test. Conclusion:The screening and management strategy of COPD based on the IoT and information technology can improve the efficiency of COPD screening, and improve the status quo of under-diagnosis and discontinuous follow-up of COPD.

2.
Chinese Journal of Practical Nursing ; (36): 385-389, 2023.
Article in Chinese | WPRIM | ID: wpr-990190

ABSTRACT

Objective:To upgrade the wisdom of traditional wards through the internet of things platform to achieve intelligent and refined management of wards, and to evaluate the effect of the upgrade.Methods:In June 2020, the convenience sampling method was used to selecte two wards of the cardiology department of Shandong First Medical University as the pilot units of the affiliated provincial Hospital to implement the intelligent ward management mode. Based on the principle of easy transformation, easy construction and easy maintenance, on the basis of realizing the full coverage of the internet of things, the hardware and software system were connected to complete the intelligent upgrade of the traditional ward, and the structured observation and semi-structured interview methods were adopted to evaluate the upgraded work efficiency and the use experience of patients.Results:The time spent on vital sign collection and recording, nursing risk assessment and time spent, and signage production and hanging were (4.24 ± 0.87), (4.07 ± 0.86) and 0 min respectively, which were effectively reduced than those before the upgrade (6.50 ± 2.95), (4.73 ± 1.62) and (1.13 ± 0.43) min, with statistically significant differences ( t=8.04, 3.99, 28.96, all P<0.01). The results of semi-structured interviews showed that patients perceived the smart ward as intelligent, saving manpower and waiting time; simple to operate, improving the experience of healthcare workers and patients in using it; and untimely system updates. Conclusions:The wisdom upgrade of traditional wards can help refine patient management, improve work efficiency, and improve the experience of health care workers and patients in using them, which will be continuously improved in future development and can provide practical paths for reference for the wisdom upgrade of similar wards.

3.
Chinese Journal of Radiological Health ; (6): 450-455, 2023.
Article in Chinese | WPRIM | ID: wpr-988221

ABSTRACT

This paper presents a nuclear radiation environment monitoring scheme based on the Internet of Things technology. The scheme primarily utilizes ZigBee wireless communication protocol, dedicated line network topology, and cloud-based processing techniques to achieve the entire process of acquisition, localization, transmission, tracking, monitoring, and management of X, γ, α, β, and neutron radiation data at nuclear radiation monitoring sites. Through initial application, the system demonstrates favorable characteristics such as good portability, strong scalability, secure information transmission, and deep data mining.

4.
Chinese Journal of Industrial Hygiene and Occupational Diseases ; (12): 467-471, 2023.
Article in Chinese | WPRIM | ID: wpr-986053

ABSTRACT

At present, there are disadvantages with the detection for occupational hazard factors, such as insufficient monitoring data, poor timeliness, weak representativeness, long detection cycles, and inability to continuously monitor. Taking advantages of internet of things technology, an online monitoring platform for occupational hazard factors has been designed. The platform collects the concentration (intensity) of hazard factors through sensors, transmits the occupational hazards data collected online in realtime. The online monitoring cloud center for occupational hazard factors processes and analyzes online monitoring data in realtime, stores the hazard factors data to form database management, and provides user application services to form an intelligent online monitoring service model for occupational hazard factors. Based on the online monitoring platform of occupational hazard factors, multi-level government health supervision departments and employers can grasp the status of hazard factors in real time, which is conducive to improving the level of occupational hazard supervision.


Subject(s)
Internet of Things , Internet
5.
Journal of Biomedical Engineering ; (6): 103-109, 2023.
Article in Chinese | WPRIM | ID: wpr-970679

ABSTRACT

Internet of Things (IoT) technology plays an important role in smart healthcare. This paper discusses IoT solution for emergency medical devices in hospitals. Based on the cloud-edge-device architecture, different medical devices were connected; Streaming data were parsed, distributed, and computed at the edge nodes; Data were stored, analyzed and visualized in the cloud nodes. The IoT system has been working steadily for nearly 20 months since it run in the emergency department in January 2021. Through preliminary analysis with collected data, IoT performance testing and development of early warning model, the feasibility and reliability of the in-hospital emergency medical devices IoT was verified, which can collect data for a long time on a large scale and support the development and deployment of machine learning models. The paper ends with an outlook on medical device data exchange and wireless transmission in the IoT of emergency medical devices, the connection of emergency equipment inside and outside the hospital, and the next step of analyzing IoT data to develop emergency intelligent IoT applications.


Subject(s)
Internet of Things , Reproducibility of Results , Internet , Machine Learning , Technology
6.
Rev. bras. med. esporte ; 29: e2022_0151, 2023. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1394825

ABSTRACT

ABSTRACT Introduction: The prospect of high income brought about by economic development has made it possible for more people to join platform sports tourism to maximize their quality of life and spiritual experience. However, health problems in this modality are frequent. Objective: To verify the impacts of a cloud-based health monitoring and management system, using mobile devices and the Internet of Things, on the health problems of platform sports tourism. Methods: Systematic technical research combined with technology preceded the design of the functional module of the platform sports tourism health monitoring and management system through analysis of the demand for health monitoring and management. Finally, the platform sports tourism health monitoring was validated through system testing. Results and Conclusion: The effectiveness and test results of the management system show that the accuracy of physiological signals reaches 90%. Level of evidence II; Therapeutic studies - investigation of treatment outcomes.


RESUMO Introdução: A perspectiva de alta renda trazida pelo desenvolvimento econômico tem proporcionado a mais pessoas aderirem ao turismo esportivo de plataformas visando maximizar a qualidade de vida e sensação de experiência espiritual. Porém, os problemas de saúde nessa modalidade são frequentes. Objetivo: Verificar os impactos de um sistema para monitoramento e gestão de saúde baseado na nuvem, utilizando dispositivos móveis e internet das coisas, proporcionados nos problemas de saúde do turismo esportivo de plataformas. Métodos: Pesquisas técnicas sistemáticas combinadas com tecnologia precederam o desenho do módulo funcional do sistema de monitoramento e gestão da saúde no turismo esportivo de plataformas através da análise na demanda de monitoramento e gestão da saúde. Finalmente, o monitoramento da saúde do turismo esportivo de plataformas foi validado através do teste no sistema. Resultados e Conclusão: A eficácia e os resultados dos testes do sistema de gerenciamento mostram que a precisão dos sinais fisiológicos chega a 90%. Nível de evidência II; Estudos terapêuticos - investigação dos resultados do tratamento.


Resumen Introducción: La perspectiva de altos ingresos traída por el desarrollo económico ha hecho que más personas se unan a la plataforma de turismo deportivo con el objetivo de maximizar la calidad de vida y el sentido de la experiencia espiritual. Sin embargo, los problemas de salud en esta modalidad son frecuentes. Objetivo: Verificar los impactos de un sistema de monitorización y gestión de la salud basado en la nube, utilizando dispositivos móviles e Internet de las cosas, proporcionados en los problemas de salud del turismo deportivo de las plataformas. Métodos: La investigación técnica sistemática combinada con la tecnología precedió al diseño del módulo funcional del sistema de monitorización y gestión de la salud en el turismo deportivo de plataforma a través del análisis sobre la demanda de monitorización y gestión de la salud. Por último, la plataforma de vigilancia de la salud del turismo deportivo se validó mediante pruebas del sistema. Resultados y conclusión: La eficacia y los resultados de las pruebas del sistema de gestión muestran que la precisión de las señales fisiológicas alcanza el 90%. Nivel de evidencia II; Estudios terapéuticos - investigación de los resultados del tratamiento.

7.
Rev. tecnol. (St. Tecla, En línea) ; (15): 13-18, ene.-dic. 2022. ilus.^c28 cm., tab.
Article in Spanish | BISSAL, LILACS | ID: biblio-1412580

ABSTRACT

Este proyecto de investigación 2021 desarrollado por la Escuela de Ingeniería en Computación de ITCA-FEPADE, tuvo como objetivo usar las tecnologías para ayudar a mejorar el comportamiento de la comunidad educativa en pandemia Covid-19. Es un sistema inteligente para la medición del comportamiento humano con relación al cumplimiento del protocolo de bioseguridad Covid-19, implementando tecnologías de Internet del Comportamiento IoB, Internet de las Cosas IoT, Business Intelligence, Big Data y reconocimiento facial. La primera fase consistió en la toma de requerimientos y el estudio de investigaciones previas. Posteriormente se diseñó la interfaz del aplicativo que interpreta los datos colectados y la estructura de un dispensador inteligente de alcohol gel para ser impreso en 3D. Finalmente se realizó la programación del sistema y del circuito que conforman el dispositivo. Como resultado se construyó un dispositivo inteligente que mide y alerta la temperatura, dispensa alcohol gel y toma de fotografía para reconocimiento facial en la portación correcta de mascarilla. Incorpora un sistema informático que procesa los datos colectados que son utilizados por la aplicación de Inteligencia de Negocios para analizar el comportamiento de las personas ante el cumplimiento del protocolo de bioseguridad para Covid-19. El resultado del proyecto es un dispositivo inteligente y automatizado, que dotará a la institución de una herramienta innovadora de bajo costo para medir el comportamiento de la población que hace uso de las instalaciones de ITCA-FEPADE Sede Central y contribuirá a prevenir contagios por Covid-19, dando mayor seguridad a un retorno presencial al campus.


This research project was carried out in 2021 by the Escuela de Ingeniería en Computación of ITCA-FEPADE and aimed to use technologies to improve the behavior of the educational community in the context of Covid-19 pandemic. A smart system was development for measuring human behavior in relation to compliance with the Covid-19 biosafety protocol, implementing Internet of Behavior (IoB), Internet of Things (IoT), Business Intelligence, Big Data and facial recognition technologies. The first phase consisted on the identification of requirements and previous investigations. Subsequently, the application interface that interprets the collected data and the structure of a smart hand sanitizer dispenser to be printed in 3D was designed. Finally, the programming of the system and the circuit that make up the device was carried out. As a result, a smart device that measures and alerts the body temperature, dispenses hand sanitizer and applies facial recognition for the detection of proper face mask wearing was built. The device also incorporates a computer system that processes the collected data that to analyze the behavior of people in compliance with the biosafety protocol for Covid-19 through the Business Intelligence application. The result of the project was a smart and automated device that will provide the institution an innovative, low-cost tool to measure the behavior of the population that makes use of the ITCA-FEPADE Sede Central facilities and will contribute to preventing Covid-19 infections by giving greater safety to a face-to-face return to the facilities.


Subject(s)
Equipment and Supplies , Automated Facial Recognition , COVID-19 , Hand Sanitizers , Data Warehousing/trends , Internet of Things
8.
Article in Spanish | LILACS, CUMED | ID: biblio-1408535

ABSTRACT

La internet de las cosas ha mantenido un crecimiento continuo en los últimos años. Las potencialidades de uso que muestra en diferentes campos han sido ampliamente documentadas. Su utilización efectiva en el campo de la salud puede traer consigo mejoras en la eficiencia de los tratamientos médicos, prevenir situaciones de riesgo, ayudar a elevar la calidad del servicio y proporcionar soporte a la toma de decisiones. La presente revisión profundiza en aspectos medulares de su utilización con el objetivo de explorar las principales tendencias y desafíos relacionados con la creciente utilización de la internet de las cosas en la salud, prestando mayor atención a los aspectos relacionados con las arquitecturas utilizadas para el despliegue de sistemas de internet de las cosas en ese ámbito, el manejo de la seguridad de estos sistemas y las herramientas para el apoyo a la toma de decisiones empleadas. Mediante el análisis documental se logra mostrar las principales características de estos sistemas, así como su arquitectura, herramientas utilizadas para la gestión de los datos capturados y mecanismos de seguridad. La utilización de la internet de las cosas en el campo de la salud tiene gran impacto, mejorando la vida de millones de personas en todo el mundo y brindando grandes oportunidades para el desarrollo de sistemas inteligentes de salud(AU)


The internet of things has maintained continuous growth in recent years. The potentialities of use that it shows in different fields have been widely documented. Its effective use in the field of health can bring improvements in the efficiency of medical treatments, prevention of risky situations, help raising the quality of service and provide support for decision-making. The present review explores into core aspects of its use in order to analyze trends, challenges and strengths. Document analysis was used to show the main characteristics of these systems, as well as their architecture, tools used for the management of the captured data and security mechanisms. The use of the internet of things in the health field has a great impact, improving the lives of millions of people around the world and providing great opportunities for the development of intelligent health systems(AU)


Subject(s)
Humans , Male , Female , Medical Informatics , Health Systems , Cloud Computing/trends , Blockchain/trends , Internet of Things/trends
9.
Chinese Journal of Medical Instrumentation ; (6): 265-268, 2022.
Article in Chinese | WPRIM | ID: wpr-928901

ABSTRACT

With the deepening of China's medical reform, the scale of hospital equipment assets at all levels is also expanding. In the face of large-scale and various equipment assets, the traditional single machine statistical management method not only has a single interface, poor data accuracy and is not compatible with other systems, but also is difficult to achieve "full life cycle" management. In order to solve above problems, the Ninth People's Hospital Affiliated to Shanghai Jiao Tong University of Medicine aims to use the Internet of Things to build a medical equipment management information platform, realize the whole hospital area, whole subject and whole process management of medical materials, and achieve the objectives of business linkage, information connectivity and data sharing between management departments and clinical departments.


Subject(s)
Humans , China , Equipment and Supplies, Hospital , Hospitals , Information Dissemination , Information Management
10.
Chinese Journal of Medical Instrumentation ; (6): 114-118, 2022.
Article in Chinese | WPRIM | ID: wpr-928870

ABSTRACT

OBJECTIVE@#To discuss how to implement and promote the lean management of medical devices life cycle through establishing medical device UDI.@*METHODS@#Discuss the application of UDI on medical consumables lean management by relying on the construction of medical device UDI system in our country, and summarize the pilot experience of implanted medical devices in Shanghai.@*RESULTS@#Improve the application value of UDI in medical device Internet of Things through analyzing the present situation of implanted medical device and further strengthen the UDI application standardization.@*CONCLUSIONS@#Form the interconnection and mutual recognition during medical device life cycle and reduce the input of product cost and resource consumption in our country through establishing a more standardized and effective UDI circulation system.


Subject(s)
China , Internet , Internet of Things , Prostheses and Implants
11.
Chinese Journal of Hospital Administration ; (12): 467-470, 2022.
Article in Chinese | WPRIM | ID: wpr-958813

ABSTRACT

Aiming at the current situation of medical equipment management, Shanghai Sixth People′s Hospital Affiliated to Shanghai Jiao Tong University School of Medicine explored the application of 5G+ Internet of Things and digital twin technology in the intelligent management of medical equipment. Through the intelligent perception terminal, the hospital realized the dynamic acquisition of real data such as the use location, use process and use efficiency of medical equipment, and conducted digital, networked and intelligent monitoring and analysis. At the same time, applications such as medical equipment dynamic management software, medical equipment real-time positioning software, and space environment quality monitoring software were developed. It realized automatic, intelligent and visual management of medical equipment configuration, operation and performance evaluation, achieved fine management based on digital twins, and improved the efficiency of collaborative management of operational resource support.

12.
Edumecentro ; 14: e2184, 2022.
Article in Spanish | LILACS-Express | LILACS | ID: biblio-1404612

ABSTRACT

RESUMEN Introducción: el internet de las cosas ofrece nuevas oportunidades de acceso a datos, servicios específicos en la educación, seguridad y asistencia sanitaria, entre otros campos. Objetivo: realizar una revisión de la literatura existente sobre aspectos que definen el internet de las cosas en el ámbito de la salud pública. Métodos: se realizó una investigación documental de la literatura en diversas bases de datos académicas y motores de búsqueda; (MEDLINE, Scopus, IEEE Xplore, PubMed, Science Direct, Google Scholar y Google Books) y sitios web corporativos e institucionales (Cisco, Naciones Unidas y Organización Mundial de la Salud). Se utilizaron los siguientes descriptores: internet de las cosas, conectividad, salud pública, salud móvil, epidemiología, aprendizaje automático, aprendizaje profundo e inteligencia artificial. Se revisaron documentos siguiendo el método que incluye la identificación de la pregunta de investigación (con base en el objetivo) y los estudios relevantes, seguido de la selección de los escritos y el cotejo, resumen y presentación de los resultados. Desarrollo: los conceptos y opiniones se estructuraron en tres capítulos donde se exponen las ideas esenciales relacionadas con el tema objeto de estudio: origen del internet de las cosas, el internet de las cosas en salud pública y conclusiones. Conclusiones: el internet de las cosas representa para el área de salud pública una posibilidad innovadora para entender y atender el fenómeno salud-enfermedad de las poblaciones, y proporcionar una red de colaboración entre individuos sustentado en la conformación de una arquitectura de la participación desde un enfoque inteligente.


ABSTRACT Introduction: the internet of things offers new opportunities for access to data, specific services in education, security and health care, among other fields. Objective: to carry out a review of the existing literature on aspects that define the internet of things in the field of public health. Methods: a documentary research of the literature was carried out in various academic databases and search engines; (MEDLINE, Scopus, IEEE Xplore, PubMed, Science Direct, Google Scholar and Google Books) and corporation and institutional websites (Cisco, United Nations and World Health Organization). The following descriptors were used: internet of things, connectivity, public health, mobile health, epidemiology, machine learning, deep learning, and artificial intelligence. Documents were reviewed following the method that includes the identification of the research question (based on the objective) and the relevant studies, followed by the selection of the writings and the comparison, summary and presentation of the results. Development: the concepts and opinions were structured in three chapters where the essential ideas related to the subject under study are presented: origin of the internet of things, the internet of things in public health and conclusions. Conclusions: the internet of things represents an innovative possibility for the area of public health to understand and attend to the health-disease phenomenon of populations, and to provide a network of collaboration between individuals based on the creation of an architecture of participation from a smart approach.

13.
Acta Paul. Enferm. (Online) ; 35: eAPE003142, 2022. tab, graf
Article in Portuguese | LILACS, BDENF | ID: biblio-1364232

ABSTRACT

Resumo Objetivo Identificar na literatura as gerontecnologias Internet das Coisas desenvolvidas para prevenção de acidentes por quedas em idosos. Métodos Revisão integrativa, realizada de janeiro a maio de 2020. Foram critérios de inclusão artigos, sem restrição de período ou idioma com indivíduos de 60 anos ou mais, que abordem a utilização de gerontecnologia Internet das Coisas para prevenção de quedas. Excluíram-se artigos duplicados. A busca foi realizada pela estratégia PIE (População, Intervenção, Efeito/Avaliação), resultando na pergunta: "Quais as gerontecnologias Internet das Coisas desenvolvidas para prevenção de acidentes por quedas em idosos disponíveis na literatura?". Foi realizada nas bases de dados MEDLINE/PubMed, LILACS, CINAHL, Scopus e Web of Science. Identificaram-se ano, tipo de estudo, país, profissionais envolvidos, desfecho, local de desenvolvimento e classificação em gerontecnologia Internet das Coisas e protótipos. Resultados Identificaram-se 23 gerontecnologias Internet das Coisas. Os anos de 2018 e 2019 apresentaram maiores números de publicações. Ocorreu predominância de estudos descritivos, por profissionais da ciência da computação e engenheiros e desenvolvidos na Europa, Ásia, América do Norte e Oceania. Encontraram-se oito gerontecnologias Internet das Coisas e 15 protótipos, sendo sete sensores, cinco dispositivos, três jogos sérios e sistemas, dois robôs e um exergames, realidade virtual e aplicativo. A maioria das gerontecnologias buscava melhora da mobilidade e equilíbrio, sendo cinco desenvolvidas em ambiente hospitalar e domiciliar, respectivamente. Conclusão As gerontecnologias Internet das Coisas podem ser utilizadas como recursos para auxiliar na prevenção de quedas e no fortalecimento da capacidade funcional. Todavia, fazem-se necessárias pesquisas futuras para analisar a eficácia deste tipo de tecnologia para prevenção de quedas em idosos.


Resumen Objetivo Identificar en la literatura las gerontecnologías internet de las cosas desarrolladas para la prevención accidentes por caídas en adultos mayores. Métodos Revisión integradora, realizada de enero a mayo de 2020. Los criterios de inclusión fueron artículos, sin restricción de período o idioma, con individuos de 60 años o más, que abordaran la utilización de gerontecnologías internet de las cosas para la prevención de caídas. Se excluyeron artículos duplicados. La búsqueda fue realizada mediante la estrategia PIE (población, intervención, efecto/evaluación), que dio como resultado la pregunta "¿Cuáles son las gerontecnologías internet de las cosas desarrolladas para la prevención de accidentes por caídas en adultos mayores disponibles en la literatura?". Se realizó en las bases de datos MEDLINE/PubMed, LILACS, CINAHL, Scopus y Web of Science. Se identificó el año, tipo de estudio, país, profesionales involucrados, resultado, lugar de desarrollo y clasificación en gerontecnologías internet de las cosas. Resultados Se identificaron 23 gerontecnologías internet de las cosas. Los años 2018 y 2019 presentaron mayores números de publicaciones. Hubo predominancia de estudios descriptivos, por profesionales de ciencias de la comunicación e ingenieros y desarrollados en Europa, Asia, América del Norte y Oceanía. Se encontraron ocho gerontecnologías internet de las cosas y 15 prototipos, de los cuales siete eran sensores, cinco dispositivos, tres juegos serios y sistemas, dos robots y un exergames, realidad virtual y aplicación. La mayoría de los gerontecnologías buscaba una mejora de la movilidad y el equilibrio, de las cuales cinco fueron desarrolladas en ambiente hospitalario y domiciliario. Conclusión Las gerontecnologías internet de las cosas pueden ser utilizadas como recurso para ayudar en la prevención de caídas y en el fortalecimiento de la capacidad funcional. Sin embargo, es necesario llevar a cabo estudios futuros para analizar la eficacia de este tipo de tecnología para la prevención de caídas en adultos mayores.


Abstract Objective To identify in the literature the Internet of Things gerontechnology developed to prevent accidents by falls in older adults. Methods This integrative review was carried out from January to May 2020. Articles without period or language restriction with individuals aged 60 years or older addressing the use of Internet of Things gerontechnology for fall prevention were included. Duplicate articles were excluded. The search was performed by the PIE strategy (Population, Intervention, Effect/Assessment), resulting in the question: "What Internet of Things gerontechnology developed for accident prevention by falls in older adults available in the literature?". It was performed in the MEDLINE/PubMed, LILACS, CINAHL, Scopus and Web of Science databases. Year, type of study, country, professionals involved, outcome, development site and classification in Internet of Things gerontechnology and prototypes were identified. Results Twenty-three Internet of Things gerontechnology were identified. The years 2018 and 2019 had higher numbers of publications. There was a predominance of descriptive studies by computer science professionals and engineers and developed in Europe, Asia, North America and Oceania. Eight Internet of Things gerontechnology and 15 prototypes were found, seven sensors, five devices, three serious games and systems, two robots and one exergames, virtual reality and application. Most gerontechnology sought to improve mobility and balance, five of which were developed in the hospital and home environments, respectively. Conclusion The Internet of Things gerontechnology can be used as resources to assist in fall prevention and strengthening functional capacity. However, future research is needed to analyze the effectiveness of this type of technology for fall prevention in older adults.


Subject(s)
Middle Aged , Technology , Accidental Falls/prevention & control , Internet of Things , Geriatrics , Accident Prevention
14.
Rev. bras. med. esporte ; 27(spe2): 62-65, Apr.-June 2021. tab, graf
Article in English | LILACS | ID: biblio-1280078

ABSTRACT

ABSTRACT Special physical fitness plays an important role in sports skills, improving athletic performance and preventing injuries. Based on the Internet of Things (IoT), the method of assessing athletes' specific physical fitness is studied using the linear acceleration energy estimation model. After relevant research on the athletes' real training environment, a real-time monitoring platform is designed. Besides, the MQVA algorithm is proposed, and the simulation experiment is designed. Finally, the accuracy of several algorithms is verified by the practical method of evaluating the application. The verification results show that the precision of the algorithm and the model achieve the expected results. An evaluation model is proposed for individual athletes of the training effect based on the energy consumption rate; for multi-athletes, the indicators used are the progress of energy transfer. This model is compared and verified employing examples. The results show that the evaluation model is accurate and reliable. This investigation is part of the contents of the investigation of the physical fitness training system of the potential advantage project in China. It can provide a theoretical basis for coaches to adopt effective special physical training approaches and methods.


RESUMO A aptidão física especial tem um papel importante no domínio das habilidades esportivas, melhorando o desempenho atlético e prevenindo as lesões. Baseado na Internet das Coisas (IoT), o método de avaliação de aptidão física específica dos atletas é estudado usando o modelo de estimativa de energia de aceleração linear. Após uma pesquisa relevante sobre o ambiente de treinamento real dos atletas, é projetada uma plataforma de monitoramento em tempo real adequada para treinamento de atletas. Além disso, o algoritmo MQVA é proposto e é projetado o experimento de simulação. Finalmente, a precisão de vários algoritmos é verificada pelo método prático de avaliação da aplicação. Os resultados da verificação mostram que a precisão do algoritmo e o modelo alcançam os resultados esperados. Propõe-se um modelo de avaliação do efeito de formação baseado na taxa de consumo de energia para atletas individuais. Para multi-atletas se usam os indicadores de avaliação do progresso da transferência de Energia. Este modelo é comparado e verificado por meio de exemplos. Os resultados mostram que o modelo de avaliação é preciso e confiável. Esta investigação faz parte dos conteúdos da investigação do sistema de formação de aptidão física do projeto potencial de vantagem na China. O mesmo pode fornecer uma base teórica para que os treinadores adoptem abordagens e métodos de formação física especial eficazes.


RESUMEN La aptitud física especial tiene un papel importante en el dominio de las habilidades deportivas, mejorando el desempeño atlético y previniendo las lesiones. Basado en la Internet de las Cosas (IoT), el método de evaluación de aptitud física específica de los atletas es estudiado usando el modelo de estimativa de energía de aceleración lineal. Después de una importante investigación sobre el ambiente de entrenamiento real de los atletas, es proyectada una plataforma de monitoreo em tiempo real adecuada para entrenamiento de atletas. Además de eso, el algoritmo MQVA es propuesto y es proyectado el experimento de simulación. Finalmente, la precisión de varios algoritmos es verificada por el método práctico de evaluación de la aplicación. Los resultados de la verificación muestran que la precisión del algoritmo y el modelo alcanzan los resultados esperados. Se propone un modelo de evaluación del efecto de formación basado en la tasa de consumo de energía para atletas individuales. Para multi-atletas se usan los indicadores de evaluación del progreso de la transferencia de energía. Este modelo es comparado y verificado por medio de ejemplos. Los resultados muestran que el modelo de evaluación es preciso y confiable. Esta investigación hace parte de los contenidos de la investigación del sistema de formación de aptitud física del proyecto potencial de ventaja en la China. El mismo puede proporcionar una base teórica para que los entrenadores adopten abordajes y métodos de formación física especial eficaces.


Subject(s)
Humans , Male , Female , Physical Fitness/physiology , Energy Consumption , Athletes , Internet of Things , Algorithms
15.
Rev. bras. med. esporte ; 27(spe2): 42-45, Apr.-June 2021. graf
Article in English | LILACS | ID: biblio-1280092

ABSTRACT

ABSTRACT In order to improve the training quality of high-level athletes in Chinese and American universities, an athlete's sports information transmission model is designed based on the Internet of Things (IoT). The communication protocol between Ayla module and the main motion control board, Ayla module and client APP or cloud platform, and APP and cloud platform in the system is designed in detail. For the Ayla module, the most important hardware part of the system, the internal composition and software design are described. In the mobile phone client part that is closely related to the user, the MVC architecture is adopted, the singleton and agent design patterns are utilized, and the functional design of each part is elaborated, including APP interface animation, data transmission format, network communication, and database storage. The research results show that the system of this study can handle most of the athlete training information, and the prediction accuracy exceeds the traditional algorithm. This research study is of great significance for improving the training efficiency of high-level athletes and further expanding the scope of application of the IoT.


RESUMO A fim de melhorar a qualidade do treinamento de atletas de alto nível em universidades chinesas e americanas, um modelo de transmissão esportiva de informações esportivas é projetado com base na Internet das Coisas. Projetou-se em detalhes o protocolo de comunicação entre o módulo Ayla e a placa de controle principal de movimento, o módulo Ayla e o aplicativo-cliente ou a plataforma de nuvem, o aplicativo e a plataforma de nuvem no sistema. Para o módulo Ayla, a parte de hardware mais importante do sistema, a composição interna e o projeto de software são descritos. Na parte do cliente de celular intimamente relacionada com o usuário, a arquitetura MVC é adotada, e os padrões de design de singleton e agente são utilizados, e o projeto funcional de cada parte é elaborado, incluindo animação de interface APP, formato de transmissão de dados, comunicação de rede e armazenamento de banco de dados. Os resultados da pesquisa mostram que o sistema deste estudo pode lidar com a maioria das informações de treinamento de atletas, e a precisão da previsão excede o algoritmo tradicional. A pesquisa deste artigo é de grande significância para melhorar a eficiência de treinamento de atletas de alto nível e expandir ainda mais o âmbito de aplicação da Internet das Coisas.


RESUMEN A fin de mejorar la calidad del entrenamiento de atletas de alto nivel en universidades chinas y americanas, un modelo de transmisión deportiva de informaciones deportivas es proyectado basándose en la Internet de las Cosas. Se proyectó en detalles el protocolo de comunicación entre el módulo Ayla y la placa de control principal de movimiento, el módulo Ayla y el aplicativo-cliente o la plataforma de nube, el aplicativo y la plataforma de nube en el sistema. Para el módulo Ayla, la parte de hardware más importante del sistema, la composición interna y el proyecto de software son descritos. En la parte del cliente de celular íntimamente relacionada con el usuario, la arquitectura MVC es adoptada, y los estándares de diseño de singleton y agente son utilizados, y el proyecto funcional de cada parte es elaborado, incluyendo animación de interface APP, formato de transmisión de datos, comunicación de red y almacenamiento de banco de datos. Los resultados de la investigación muestran que el sistema de este estudio puede lidiar con la mayoría de las informaciones de entrenamiento de atletas, y la precisión de la previsión excede el algoritmo tradicional. La investigación de este artículo es de gran significación para mejorar la eficiencia de entrenamiento de atletas de alto nivel y expandir aún más el ámbito de aplicación de la Internet de las Cosas.


Subject(s)
Humans , Athletic Performance , Athletes , Monitoring, Physiologic/methods , Algorithms , Internet
16.
Rev. bras. med. esporte ; 27(spe2): 27-30, Apr.-June 2021. graf
Article in English | LILACS | ID: biblio-1280096

ABSTRACT

ABSTRACT For athletes under training, it is more efficient to use the Internet of Things (IoT) and cloud computing methods to collect and process biochemical indicators, and this study is about research based on the IoT and cloud computing technology for athletes under training. The problems are put forward in this study. The requirements of related algorithm design and the communication model properties are comprehensively analyzed. Scheduling the link and allocating the transmit power of the nodes are comprehensively considered, with design and analysis of wireless sensor network scheduling algorithm. The factors influencing the scheduling efficiency of the algorithm are analyzed, considering the node density and the influence of different power allocation schemes on the scheduling result. This study shows that the algorithm of this thesis can collect the biochemical index data of athletes during training period. As the number of nodes increases, the running results will gradually move towards the optimal value. This research study is of important theoretical significance for the application of IoT and cloud computing technology and the improvement of athlete training effect.


RESUMO Para os indicadores bioquímicos dos atletas durante o treino, é mais eficiente usar a internet das coisas e métodos de computação em nuvem para coletar e processar indicadores bioquímicos durante o treino de atletas. Este estudo se baseia na tecnologia da internet das coisas IoT e na computação em nuvem voltada para atletas durante o período de treino. Os problemas são apresentados neste documento. Os requisitos de concepção de algoritmos relacionados e propriedades do modelo de comunicação são amplamente analisados. A programação do link e a alocação da potência de transmissão dos nodos são considerados de forma abrangente, com projeto e análise do algoritmo de programação da rede de sensores sem fio. Os fatores que influenciam a eficiência de programação do algoritmo são analisados, considerando a densidade do nodo e a influência de diferentes sistemas de alocação de energia no resultado da programação. A pesquisa Mostra que o algoritmo desta tese pode coletar os dados do índice bioquímico dos atletas durante o período de treino. À medida que o número de nodos aumenta, os resultados de execução tenderão gradualmente para o valor ideal. Esta pesquisa tem um significado teórico importante para a aplicação da tecnologia da internet das coisas e computação em nuvem e para a melhoria do efeito dos treinos realizados por atletas.


RESUMEN Para los indicadores bioquímicos de los atletas durante el entrenamiento, es más eficiente usar la internet de las cosas y métodos de computación en nube para recolectar y procesar indicadores bioquímicos durante el entrenamiento de atletas. Este estudio se basa en la tecnología de la internet de las cosas IoT y en la computación en nube dedicada a atletas durante el período de entrenamiento. Los problemas son presentados en este documento. Los requisitos de concepción de algoritmos relacionados y propriedades del modelo de comunicación son ampliamente analizados. La programación del link y la destinación de la potencia de transmisión de los nodos son considerados de forma abarcadora, con proyecto y análisis del algoritmo de programación de la red de sensores inalámbrica. Los fatores que influencian la eficiencia de programación del algoritmo son analizados, considerando la densidad del nodo y la influencia de diferentes sistemas de destinación de energía en el resultado de la programación. La investigación muestra que el algoritmo de esta tesis puede recolectar los datos del índice bioquímico de los atletas durante el período de entrenamiento. A medida que el número de nodos aumenta, los resultados de ejecución tenderán gradualmente hacia el valor ideal. Esta investigación tiene un significado teórico importante para la aplicación de la tecnología de la internet de las cosas y computación en nube y para la mejora del efecto de los entrenamientos realizados por atletas.


Subject(s)
Humans , Biochemical Phenomena , Computer Systems , Athletic Performance , Athletes , Algorithms
17.
Rev. bras. med. esporte ; 27(spe): 28-30, Mar. 2021. tab, graf
Article in English | LILACS | ID: biblio-1156142

ABSTRACT

ABSTRACT In the environment of rapid social and economic development, the reform of medical informatization is constantly advancing, and the residents pay more and more attention to their own health status while improving their living standards. The traditional medical service system has some disadvantages in providing real-time, cross regional, long-term and easy-to-operate health services, which has become increasingly inadequate to meet the health needs of users. In order to solve the problem of difficulty in seeing a doctor caused by limited medical resources, and to carry out real-time health monitoring for a large number of groups suffering from chronic diseases and sub-health groups, this study conducted in-depth analysis and experimental exploration on the human remote mobile medical information collection method based on the Internet of things and intelligent algorithm. It established the information collection section by using KbaC clustering algorithm based on ant colony point system which, combined with a comparative study on the health indicators of related groups, has successfully proved that the Internet of things technology and intelligent algorithm for medical information collection and follow-up medical services are of certain positive significance, based on the Internet of things and other related technologies of human remote medical information collection system that can accurately and timely detect the patient's blood pressure, blood sugar and other health data, and then provide corresponding medical services.


RESUMO No ambiente de rápido desenvolvimento do nível social e econômico, a reforma da informatização médica está constantemente avançando, e os residentes prestam cada vez mais atenção ao seu próprio estado de saúde, melhorando ao Mesmo tempo seu padrão de vida. O sistema tradicional de serviços médicos tem algumas desvantagens em fornecer serviços de saúde em tempo real, transfronteiriços, de longo prazo e fáceis de operar, o que vem se tornando cada vez mais inadequado para satisfazer as necessidades de saúde dos usuários. A fim de resolver o problema a da dificuldade em consultar um médico por devido a recursos médicos limitados, e para realizar a monitorização da saúde em tempo real para um grande número de grupos que sofrem de doenças crônicas e subgrupos de saúde, este estudo conduziu uma análise aprofundada e uma exploração experimental sobre o método de coleta de informações médicas móvel à distância humana baseado na Internet das coisas e algoritmo inteligente. Estabeleceu a seção de coleta de informações utilizando o algoritmo de clustering KbaC baseado no sistema de pontos de colônias de formigas que, juntamente com um estudo comparativo sobre os indicadores de saúde dos Grupos conexos, conseguiu provar que a tecnologia da Internet das coisas e o algoritmo inteligente para a coleta de informações médicas e acompanhamento dos serviços médicos têm certa relevância positiva baseada na Internet das coisas e outras tecnologias relacionadas ao sistema de coleta de informações médicas remotas humanas, podendo detectar com precisão e tempo hábil a pressão arterial do paciente, a glicose e outros dados de saúde, e, em seguida, fornecer o serviço médico correspondente.


RESUMEN En un entorno de rápido desarrollo social y económico, la reforma de la informatización médica avanza constantemente y las personas prestan cada vez más atención a su estado de salud mientras mejoran su nivel de vida. El sistema de servicio médico tradicional tiene deficiencias en la prestación de servicios de salud en tiempo real, transregionales, a largo plazo y fáciles de operar, los que se han vuelto cada vez más inadecuados para satisfacer las necesidades de salud de los usuarios. Este estudio realizó un análisis con el objetivo de resolver la dificultad para consultar al médico debido a la limitación de los recursos, y de realizar un seguimiento de la salud en tiempo real de un gran número de grupos que padecen enfermedades crónicas. Dicho trabajo realizó un análisis en profundidad y de exploración experimental acerca del método de recopilación de información médica humana móvil remoto basado en Internet de las cosas y el algoritmo inteligente. Estableció la sección de recopilación de información utilizando el algoritmo de agrupación KbaC basado en el sistema de puntos de colonia de hormigas. Esto, combinado con un estudio comparativo sobre los indicadores de salud de grupos relacionados, ha demostrado con éxito que la tecnología de Internet de las cosas y el algoritmo inteligente para la recopilación y seguimiento de información médica son de importancia positiva, y que pueden detectar de manera precisa y oportuna la presión arterial, el azúcar en sangre y otros datos de salud del paciente, para luego proporcionar la atención médica correspondiente.


Subject(s)
Humans , Blood Pressure Determination/methods , Medical Informatics Applications , Telemedicine/methods , Glucose/analysis , Algorithms
18.
Chinese Journal of Medical Instrumentation ; (6): 459-462, 2021.
Article in Chinese | WPRIM | ID: wpr-888646

ABSTRACT

OBJECTIVE@#Putting forward that the risk of using UPS for medical matching is easy to be ignored by managers.@*METHODS@#The method of UPS inspection was designed and used in hospital.@*RESULTS@#The qualified rate of UPS for equipment matching was 66.7% and the problems were corrected. Based on the Internet of Things technology, the UPS monitoring technology was prospected.@*CONCLUSIONS@#It is effective to control the risk of UPS by recognizing the risk of using UPS and specifying the strategy.


Subject(s)
Humans , Electric Power Supplies , Hospitals , Technology
19.
Chinese Journal of Medical Instrumentation ; (6): 266-270, 2021.
Article in Chinese | WPRIM | ID: wpr-880464

ABSTRACT

Based on the existing information construction foundation of the isolation ward of the hospital, according to the relevant guidelines issued by the National Health Commission, the management of environmental isolation, disinfection, medical staff management and patient management are discussed, combining the application of Internet of things technology in hospital management, a series of new applications with distinctive features of Internet of Things (IoT) are built, and advanced technology and equipment such as Internet of Things are introduced. Realize the application scenario, implementation method and business mode of intelligent IoT in isolation ward, form an integrated data management center and monitoring system through data intelligent IoT, aggregation and operation, and realize the digital collection, processing, storage, transmission and analysis of medical information, equipment information, personnel information and management information, so as to realize medical closed-loop management, reduce the hidden danger of medical safety in isolated wards and improve the level of medical quality.


Subject(s)
Humans , Hospitals , Internet , Internet of Things , Monitoring, Physiologic , Technology
20.
Chinese Journal of Medical Instrumentation ; (6): 42-45, 2021.
Article in Chinese | WPRIM | ID: wpr-880420

ABSTRACT

Operation room is the most important link for carrying out medical activities in hospital whose demand for medical consumable material is also very large. With the increase of types of consumable material, the process of consumable material management in operating room becomes more complicated, and the traditional management mode can not meet the needs. In this paper, the technology of Internet of things and artificial intelligence is used to design an intelligent management system of high value consumable material in operating room which improves the efficiency of operation of high value consumable material in operating room, reduces the cost of manpower and improves the safety.


Subject(s)
Artificial Intelligence , Hospitals , Operating Rooms , Technology
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