7 documents found, page 1 of 1
Automatic Speech Recognition for Portuguese: A Comparative Study
Borghi, Pedro Henrique; Teixeira, João Paulo; Freitas, Diamantino RuiThis paper provides some comparisons of Automatic Speech Recognition (ASR) services for Portuguese that were developed in the scope of the Safe Cities project. ASR technology has enabled bi-directional voice-driven interfaces, and its demand in Portuguese is evident due to the language’s global prominence. However, the transcription process has complexities, and a high accuracy depends on the ability of capturi...
Android-based ECG monitoring system for atrial fibrillation detection using a B...
Lazaretti, Gabriel Saatkamp; Teixeira, João Paulo; Kuhn, Eduardo Vinicius; Borghi, Pedro HenriqueCardiac arrhythmias are disorders that affect the rate and/or rhythm of the heartbeats. The diagnosis of most arrhythmias is made through the analysis of the electrocardiogram (ECG), which consists of a graphical representation of the electrical activity of the heart. Atrial fibrillation (AF) is the most present type of arrhythmia in the world population. In this context, this work deals with the implementation...
Brief review on electrocardiogram analysis and classification techniques with m...
Borghi, Pedro HenriqueElectrocardiogram captures the electrical activity of the heart. The signal obtained can be used for various purposes such as emotion recognition, heart rate measuring and the main one, cardiac disease diagnosis. But ECG analysis and classification require experienced specialists once it presents high variability and suffers interferences from noises and artefacts. With the increase of data amount on long term ...
A COVID-19 time series forecasting model based on MLP ANN
Borghi, Pedro Henrique; Zakordonets, Oleksandr; Teixeira, João PauloWith the accelerated spread of COVID-19 worldwide and its potentially fatal effects on human health, the development of a tool that effectively describes and predicts the number of infected cases and deaths over time becomes relevant. This makes it possible for administrative sectors and the population itself to become aware and act more precisely. In this work, a machine learning model based on the multilayer ...
Optimization of glottal onset peak detection algorithm for accurate Jitter meas...
Fernandes, Joana Filipa Teixeira; Borghi, Pedro Henrique; Freitas, Diamantino Silva; Teixeira, João PauloJitter is an acoustic parameter used as input for intelligent systems for the diagnosis of speech related pathologies. This work has the objective to improve an algorithm that allows to extract vocal parameters, and thus improve the accuracy measurement of absolute jitter parameter. Some signals were analyzed, where signal to signal was compared in order to try to understand why the values are different in some...
Atrial fibrillation classification based on MLP networks by extracting Jitter a...
Borghi, Pedro Henrique; Borges, Renata Coelho; Teixeira, João PauloAtrial fibrillation (AF) is the most common cardiac anomaly and one that potentially threatens human life. Due to its relation to a variation in cardiac rhythm during indeterminate periods, long-term observations are necessary for its diagnosis. With the increase in data volume, fatigue and the complexity of long-term features make analysis an increasingly impractical process. Most medical diagnostic aid system...
Classificação de episódios de fibrilação atrial por análise do ECG com redes ne...
Borghi, Pedro HenriqueA fibrilação atrial (AF) é uma doença cardíaca que afeta aproximadamente 1% da população mundial, sendo a anomalia cardíaca mais comum. Apesar de não ser uma causa direta de morte, frequentemente está associada ou gera outros problemas que ameaçam a vida humana, como o derrame e a doença da artéria coronária. As principais características da AF são: a alta variação do ritmo cardíaco, o enfraquecimento ou desapa...