DSpace Collection:https://repositorio.ufu.br/handle/123456789/192882026-08-13T16:40:02Z2026-08-13T16:40:02ZDesenvolvimento de um sistema de rastreamento inercial em tempo real sem fio para membros superioreshttps://repositorio.ufu.br/handle/123456789/494322026-08-12T06:28:32Z2026-02-12T00:00:00ZTitle: 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.2026-02-12T00:00:00ZAvaliação da atividade eletroencefalográfica e da ativação BOLD em paradigmas auditivos Oddballhttps://repositorio.ufu.br/handle/123456789/494282026-08-12T06:28:28Z2026-03-19T00:00:00ZTitle: 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.2026-03-19T00:00:00ZDesenvolvimento de protótipo para diminuição do risco de morte súbita infantilhttps://repositorio.ufu.br/handle/123456789/492312026-08-01T06:29:05Z2026-03-17T00:00:00ZTitle: 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.2026-03-17T00:00:00ZProposta de modelo para transmissão e armazenamento de dados em nuvem do exame Holter com backup localhttps://repositorio.ufu.br/handle/123456789/490762026-07-25T06:27:37Z2026-03-20T00:00:00ZTitle: Proposta de modelo para transmissão e armazenamento de dados em nuvem do exame Holter com backup local
Abstract: Cardiovascular diseases (CVD) have become the leading cause of death worldwide, with
conditions such as coronary artery disease (CAD), myocardial infarction, heart failure (HF),
and arrhythmias being particularly prominent. Given the aging population, with age being a
risk factor, and the importance of early diagnosis, the electrocardiogram (ECG) stands out as a
primary examination; its speed and effectiveness in recording cardiac electrical activity allow
for precise measurement of the frequency, rhythm, and dynamics of electrical impulses.
However, since the ECG has a short duration, in cases requiring continuous monitoring of 24
hours or more, the use of Holter monitoring becomes viable. Considering that a portion of the
population faces difficulties in traveling to centers equipped for these examinations,
telemedicine and telemonitoring emerge as tools to optimize the process remotely. Thus, this
work aimed to develop a system for transmitting ECG signals in real time to the cloud,
proposing a simple and accessible way to monitor cardiac health. To achieve this, a prototype
for signal acquisition and a transmission system with local backup were developed. The
architecture used a database for processing and sending data to the cloud through the use of
threads, ensuring the agility of the information flow. The system proved capable of performing
hybrid storage (local and cloud) and reporting specific events, such as bradycardia, tachycardia,
and heart rate. Finally, sending this data to a restricted-access online system confirmed the
tool's effectiveness in supporting the remote and secure monitoring of patients.2026-03-20T00:00:00Z