https://repositorio.ufu.br/handle/123456789/19288 2026-09-03T04:44:17Z https://repositorio.ufu.br/handle/123456789/49841 Title: Desenvolvimento de aplicativo de telemonitoramento para triagem e classificação de risco contínuo em pacientes com dengue Abstract: Dengue represents a public health challenge in Brazil due to its endemic nature and the significant increase in cases driven by climate change. Consequently, there is a high demand for medical care, even though patients find themselves in different phases of the disease (febrile, critical, or recovery). Therefore, it is fundamental to develop new strategies using telemedicine to relieve the healthcare system. The objective of this study was to develop a mobile telemonitoring application, named TeleDengue, focusing on initial screening, symptom tracking, and informative modules. The methodology was based on requirements gathering through forms applied to patients and medical professionals to identify the real needs of users, in addition to relying on Design Thinking principles for system idealization. Development was carried out using a low-code strategy, utilizing the FlutterFlow platform integrated with the Firebase database for the secure storage of clinical information. As a result, the application was structured into four main sections: symptom tracking, which issues alerts based on the severity of the selected symptoms; dengue information, featuring self-care and disease protection guidelines; care facilities in the city of Uberlândia, providing addresses and contact phone numbers; and symptom history, which offers automated charts and reports of the disease's progression to assist in future medical consultations. In conclusion, TeleDengue features functional tools that can assist in dengue care, with the potential to optimize patient flow, reduce the burden on healthcare units, and support patients in their recovery at home. 2026-07-09T00:00:00Z https://repositorio.ufu.br/handle/123456789/49432 Title: Desenvolvimento de um sistema de rastreamento inercial em tempo real sem fio para membros superiores Abstract: Quantitative analysis of human movement is an essential tool for clinical diagnosis, physical rehabilitation, and robotic interface control. However, commercial motion capture systems present portability restrictions and operational complexity that limit their widespread use. This work presents the development and validation of an accessible, portable, and robust motion tracking system based on a wireless inertial measurement unit (IMU) network, focused on high-fidelity kinematic reconstruction of upper limbs. The hardware platform uses ESP32 microcontrollers integrated with MPU9250 sensors, operating with a hybrid TCP/UDP communication protocol communicating with Python software, optimized to ensure data integrity and real-time transmission speed. For precise spatial orientation estimation, the Madgwick sensor fusion algorithm was implemented using quaternions. The metrological validation of the system was performed by comparing it to an industrial robotic manipulator (Dobot CR10A), adopted as the gold standard for positioning. The trials included static and dynamic angular sweep tests, as well as functional tests. The results demonstrated a high correlation between the proposed system and the robotic reference, proving the reliability of the measurements and the system's capability to reconstruct complex movements with precision and stability, validating its viability as a robust tool for biomechanical analysis. 2026-02-12T00:00:00Z https://repositorio.ufu.br/handle/123456789/49428 Title: Avaliação da atividade eletroencefalográfica e da ativação BOLD em paradigmas auditivos Oddball Abstract: This study investigates the relationship between neuronal activity observed via electro encephalography (EEG) and brain region activations recorded using functional magnetic resonance imaging (fMRI) data during the performance of an auditory oddball cognitive paradigm. The objective was to analyze whether event-related potentials, particularly the P300 component obtained via EEG, show a qualitative correspondence with the hemodynamic activation patterns measured by the BOLD signal in fMRI. Public data from the OpenfMRI repository (dataset ds000116) were used, comprising simultaneous EEG and fMRI recordings from 15 participants. The EEG data were preprocessed using the MNE-Python library, including digital filtering, removal of physiological artifacts via Independent Component Analysis (ICA), and extraction of event-related potentials. The P300 component was analyzed for amplitude, latency, and topographic distribution. The fMRI data were preprocessed using the fMRIPrep pipeline and analyzed using statistical modeling based on the General Linear Model (GLM) in FSL software, allowing for the estimation of BOLD activation maps associated with the target and standard conditions. The results showed the presence of the P300 component with maximum amplitude in the centro-parietal regions of the scalp and a mean latency of approximately 386 ms. In the fMRI data, significant activation was observed in the parietal, temporal, and frontal lobes, as well as the thalamus, primarily in the target condition.The qualitative compa rison between the modalities revealed macroscopic spatial correspondence between the topography of the P300 and the regions of BOLD activation. These findings reinforce the complementarity between EEG and fMRI and suggest that, with technological advances and a better understanding of the neural mechanisms involved in stimulus processing the P300 may in the future establish itself as an accessible biomarker for the investigation of cognitive processes. 2026-03-19T00:00:00Z https://repositorio.ufu.br/handle/123456789/49231 Title: Desenvolvimento de protótipo para diminuição do risco de morte súbita infantil Abstract: This work presents the development of a functional prototype of a wearable system for neonatal physiological monitoring in a home environment, focusing on the demonstration of real-time data acquisition and transmission. The proposed solution is based on photoplethysmography (PPG) to estimate peripheral oxygen saturation (SpO₂) and heart rate (BPM). The hardware is composed of the ESP32 microcontroller and the MAX30102 optical sensor, incorporating basic safety mechanisms such as battery thermal monitoring and a hardware lock that prevents operation during the charging process. The firmware implements signal acquisition and processing routines, including strategies to reduce interference, such as detection of lack of contact and possible motion artifacts. The collected data are transmitted via Bluetooth Low Energy (BLE) to the mobile application "OxiNeonatal", which enables real-time visualization, data storage, and alert management. The tests performed were preliminary in nature, limited to functional validation of the system under controlled conditions, without clinical trials or regulatory certification. The results demonstrate the technical feasibility of the proposed architecture and the integration between hardware, firmware, and software, indicating potential for future applications, subject to further validation, regulatory compliance, and device improvement. 2026-03-17T00:00:00Z