Percorrer por autor "Fernandes, Carlos Miguel Velez"
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- Wearable Vest for Respiratory Monitoring in Patients at Risk of COPD and Acute Asthma: An Integrated Solution for Early Detection and PreventionPublication . Fernandes, Carlos Miguel Velez; Velez, Fernando José da Silva; Vieira, André Ferreira Costa; Pires, Ivan Miguel SerranoRespiratory disorders, such as Chronic Obstructive Pulmonary Disease (COPD) and acute asthma, are significant global health challenges, contributing to high morbidity, mortality, and healthcare costs. Traditional diagnostic tools, like spirometry, are limited to clinical settings, require trained professionals, and are unsuitable for continuous or home-based monitoring. This highlights the need for accessible, non-invasive solutions for early detection and proactive management. This dissertation introduces a wearable vest for real-time respiratory monitoring, integrating inertial measurement units (IMUs) and bioimpedance (BioZ) sensors to track thoracoabdominal motion and thoracic bioimpedance. Using Internet of Medical Things (IoMT) technologies, the system aims to enhance respiratory care through personalized, preventive health management. The methodology involved designing a smart vest to capture respiratory metrics such as respiratory rate and tidal volume surrogates. Data is transmitted via Bluetooth Low Energy (BLE) to a mobile application for real-time visualization. Firmware, developed using Nordic Semiconductor’s nRF Connect SDK and Zephyr RTOS, ensures reliable sensor integration. A WEB application was created for interactive data visualization and export. Preprocessing techniques, such as gravity removal and band-pass filtering, were applied to ensure data quality. The results demonstrated the system’s ability to capture valid respiratory metrics. The IMU-based respiratory proxy showed stable, breath-locked oscillations, while BioZderived signals exhibited consistent magnitude and phase changes during breathing cycles. The agreement between kinematic and electrical measurements validated the system’s accuracy. The analysis highlighted the system’s potential for continuous respiratory monitoring in real-life settings, though challenges like motion artifacts and electrode stability were noted. Lessons learned emphasized the importance of robust preprocessing pipelines and transparent data analysis. In conclusion, the wearable vest provides a promising solution for noninvasive respiratory monitoring, bridging the gap between clinical insight and daily patient care. Future work will focus on real-time data visualization, hardware optimization, clinical validation, and developing a stable mobile application to establish the vest as a reliable tool for personalized respiratory care.