Technological Integration for Biomechanical Monitoring and Ergonomic Prevention in Occupational Health.
It is primarly essential to recognize that recent advances in health-focused technologies have produced solutions that extend well beyond traditional diagnostic and therapeutic care, enabling comprehensive assessment strategies and proactive preventive actions aimed at mitigating biomechanical risks...
| Publicado en: | Journal of Health Sciences (2447-8938) Vol. 27; no. 4; pp. 155 - 159 |
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| Autores principales: | , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Unopar Cientifica Ciencias Biologicas e da Saude
2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192943129&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192943129 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 24478938 KBSA jtl: Journal of Health Sciences (2447-8938) issn: 24478938 maglogo: N pubinfo: dt: 2025 vid: 27 iid: 4 pid: 78051 pub: Unopar Cientifica Ciencias Biologicas e da Saude artinfo: ui: 192943129 192943129 192943129 10.17921/2447-8938.2025v27n4p155-158 192943129 ppf: 155 ppct: 4 formats: tig: atl: Technological Integration for Biomechanical Monitoring and Ergonomic Prevention in Occupational Health. aug: au: Pereira Neto, Pedro Thomazi, Gabriela Oliveira, Vagner Muniz de affil: Faculdade Anhanguera de Linhares. ES, Brazil. sug: subj: Occupational-Related Injuries Prevention and Control Biomechanics Movement Physiology Wrist Physiology Monitoring, Physiologic Ergonomics Occupational Health Technology, Medical Orthoses Design Wearable Sensors Human Simulations Sensitivity and Specificity Kinematics Feedback Mobile Applications Cumulative Trauma Disorders Prevention and Control Productivity Descriptive Statistics Confidence Intervals Health Care Delivery, Integrated Musculoskeletal System Injuries ab: It is primarly essential to recognize that recent advances in health-focused technologies have produced solutions that extend well beyond traditional diagnostic and therapeutic care, enabling comprehensive assessment strategies and proactive preventive actions aimed at mitigating biomechanical risks in workplace environments. In this context, multisensory strategies gain particular relevance for developing wearable devices capable of continuously monitoring kinematic parameters and thereby contributing to the prevention of Repetitive Strain Injuries (RSI) and Work-Related Musculoskeletal Disorders (WMSDs). The present study describes the design and prototyping of an intelligent wrist orthosis integrating an MPU6050 inertial measurement sensor to capture and quantify kinetic and kinematic features of movement, an Arduino UNO microcontroller that processes and aggregates the collected signals, and an HC-05 Bluetooth module that transmits processed data and real-time feedback to mobile applications. The core objective of this work is to develop an Arduino-based intelligent orthosis for monitoring repetitive wrist movements, enhancing digital ergonomics, and integrating health and technology from a multidisciplinary perspective. The prototype was capable of identifying repetitive movements characteristic of typing with a sensitivity of 89.7% (95% CI: 86.2–92.4). Moreover, the broad capabilities of this technological approach underscore its utility for occupational health surveillance, enabling continuous evaluation of movement patterns, automated alerts for biomechanical deviations, and early identification of overload conditions that may precipitate musculoskeletal morbidity. Precipuamente, é fulcral que o avanço das tecnologias dedicadas à saúde tenha ofertado soluções que vão além da medicina de diagnóstico ou de tratamento em si, inaugurando estratégias para a elaboração de avaliações íntegras e ações preventivas para minimizar riscos no ambiente de trabalho. Nesse ínterim, ressalta-se ainda a importância de estratégias multissensoriais para o desenvolvimento de dispositivos que consigam monitorar parâmetros cinemáticos e possam atuar na prevenção de Lesões por Esforços Repetidos (LER) e Distúrbios Osteomusculares Relacionados ao Trabalho (DORT). Sob essa perspectiva, a presente pesquisa descreve o desenvolvimento de uma órtese inteligente para punho, sendo composto por um sensor inercial MPU6050 a fim de coletar e monitorar a energia cinética dos movimentos, um microcontrolador de Arduino UNO responsável pelo processamento das informações e o módulo Bluetooth HC-05 para a transmissão dos dados em tempo real para aplicativos móveis. Destarte, o objetivo deste trabalho é desenvolver uma órtese inteligente baseada em Arduino para o monitoramento de movimentos repetitivos do punho, aprimorando a ergonomia digital e integrando saúde e tecnologia sob uma perspectiva multidisciplinar. O protótipo foi capaz de identificar os movimentos repetitivos característicos da digitação com uma sensibilidade de 89,7% (IC 95%: 86,2–92,4). Ademais, destaca-se a capacidade dessa ampla tecnologia na vigilância em saúde ocupacional, avaliação contínua dos padrões de movimento e alerta para alterações biomecânicas que podem resultar em sobrecargas desencadeadoras de morbidade musculoesquelética. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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