19 documents found, page 1 of 2
Ensemble deep learning model for dimensionless respiratory airflow estimation u...
Pessoa, Diogo; Rocha, Bruno Machado; Gomes, Maria; Rodrigues, Guilherme; Petmezas, Georgios; Cheimariotis, Grigorios-Aris; Maglaveras, NicosIn recent years, computerized methods for analyzing respiratory function have gained increased attention within the scientific community. This study proposes a deep-learning model to estimate the dimensionless respiratory airflow using only respiratory sound without prior calibration. We developed hybrid deep learning models (CNN + LSTM) to extract features from the respiratory sound and model their temporal de...
Automatic wheeze segmentation using harmonic-percussive source separation and e...
Rocha, Bruno M.; Pessoa, Diogo; Marques, Alda; Carvalho, Paulo de; Paiva, Rui PedroWheezes are adventitious respiratory sounds commonly present in patients with respiratory conditions. The presence of wheezes and their time location are relevant for clinical reasons, such as understanding the degree of bronchial obstruction. Conventional auscultation is usually employed to analyze wheezes, but remote monitoring has become a pressing need during recent years. Automatic respiratory sound analys...
Automatic wheeze segmentation using harmonic-percussive source separation and e...
Rocha, Bruno Machado; Pessoa, Diogo; Marques, Alda; Carvalho, Paulo de; Paiva, Rui PedroWheezes are adventitious respiratory sounds commonly present in patients with respiratory conditions. The presence of wheezes and their time location are relevant for clinical reasons, such as understanding the degree of bronchial obstruction. Conventional auscultation is usually employed to analyze wheezes, but remote monitoring has become a pressing need during recent years. Automatic respiratory sound analys...
BRACETS: bimodal repository of auscultation coupled with electrical impedance t...
Pessoa, Diogo; Rocha, Bruno Machado; Strodthoff, Claas; Gomes, Maria; Rodrigues, Guilherme; Petmezas, Georgios; Cheimariotis, Grigorios-ArisBackground and Objective: Respiratory diseases are among the most significant causes of morbidity and mortality worldwide, causing substantial strain on society and health systems. Over the last few decades, there has been increasing interest in the automatic analysis of respiratory sounds and electrical impedance tomography (EIT). Nevertheless, no publicly available databases with both respiratory sound and EI...
On the accuracy of code complexity metrics: A neuroscience-based guideline for ...
Hao, Gao; Hijazi, Haytham; Durães, João; Medeiros, Julio; Couceiro, Ricardo; Lam, Chan Tong; Teixeira, César A.; Castelhano, JoãoComplexity is the key element of software quality. This article investigates the problem of measuring code complexity and discusses the results of a controlled experiment to compare different views and methods to measure code complexity. Participants (27 programmers) were asked to read and (try to) understand a set of programs, while the complexity of such programs is assessed through different methods and pers...
Heart rate variability analysis for the identification of the preictal interval...
Leal, Adriana; Pinto, Mauro F.; Lopes, Fábio; Bianchi, Anna M; Henriques, Jorge; Ruano, Maria G.; Carvalho, Paulo de; Dourado, AntónioElectrocardiogram (ECG) recordings, lasting hours before epileptic seizures, have been studied in the search for evidence of the existence of a preictal interval that follows a normal ECG trace and precedes the seizure's clinical manifestation. The preictal interval has not yet been clinically parametrized. Furthermore, the duration of this interval varies for seizures both among patients and from the same pati...
Can EEG Be Adopted as a Neuroscience Reference for Assessing Software Programme...
Medeiros, Júlio; Couceiro, Ricardo; Duarte, Gonçalo; Durães, João; Castelhano, João; Duarte, Catarina; Castelo-Branco, Miguel; Madeira, HenriqueAn emergent research area in software engineering and software reliability is the use of wearable biosensors to monitor the cognitive state of software developers during software development tasks. The goal is to gather physiologic manifestations that can be linked to error-prone scenarios related to programmers' cognitive states. In this paper we investigate whether electroencephalography (EEG) can be applied ...
Diagnostic ultrasound assessment of deep fascia sliding mobility in vivo: A sco...
Soares, Hélio Rafael; Pinheiro, Ana Rita; Crasto, Carlos; Barbosa, Pedro; Dias, Nuno; Carvalho, Paulo deFailure of fascial sliding may occur in cases of excessive or inappropriate use, trauma, or surgery, resulting in local inflammation, pain, sensitization, and potential dysfunction. Therefore, the mechanical properties of fascial tissues, including their mobility, have been evaluated in vivo by ultra-sound (US) imaging. However, this seems to be a method that is not yet properly standardized nor validated. To i...
Detection of squawks in respiratory sounds of mechanically ventilated COVID-19 ...
Rocha, Bruno Machado; Pessoa, Diogo; Cheimariotis, Grigorios-Aris; Kaimakamis, Evangelos; Kotoulas, Serafeim-Chrysovalantis; Tzimou, MyrtoMechanically ventilated patients typically exhibit abnormal respiratory sounds. Squawks are short inspiratory adventitious sounds that may occur in patients with pneumonia, such as COVID-19 patients. In this work we devised a method for squawk detection in mechanically ventilated patients by developing algorithms for respiratory cycle estimation, squawk candidate identification, feature extraction, and clusteri...
Automatic Classification of Adventitious Respiratory Sounds: A (Un)Solved Problem?
Rocha, Bruno Machado; Pessoa, Diogo; Marques, Alda; Carvalho, Paulo de; Paiva, Rui Pedro(1) Background: Patients with respiratory conditions typically exhibit adventitious respiratory sounds (ARS), such as wheezes and crackles. ARS events have variable duration. In this work we studied the influence of event duration on automatic ARS classification, namely, how the creation of the Other class (negative class) affected the classifiers' performance. (2) Methods: We conducted a set of experiments whe...