Advances in photopletysmography signal analysis for biomedical applications

JL Moraes, MX Rocha, GG Vasconcelos… - Sensors, 2018 - mdpi.com
Heart Rate Variability (HRV) is an important tool for the analysis of a patient's physiological
conditions, as well a method aiding the diagnosis of cardiopathies. Photoplethysmography …

Artificial intelligence in echocardiography: detection, functional evaluation, and disease diagnosis

J Zhou, M Du, S Chang, Z Chen - Cardiovascular ultrasound, 2021 - Springer
Ultrasound is one of the most important examinations for clinical diagnosis of cardiovascular
diseases. The speed of image movements driven by the frequency of the beating heart is …

A novel electrocardiogram feature extraction approach for cardiac arrhythmia classification

LB Marinho, N de MM Nascimento, JWM Souza… - Future Generation …, 2019 - Elsevier
In this work, we propose a novel approach to detect cardiac arrhythmias in
electrocardiograms (ECG). The proposal focuses on different feature extractors and machine …

A combined fully convolutional networks and deformable model for automatic left ventricle segmentation based on 3D echocardiography

S Dong, G Luo, K Wang, S Cao, Q Li… - BioMed research …, 2018 - Wiley Online Library
Segmentation of the left ventricle (LV) from three‐dimensional echocardiography (3DE)
plays a key role in the clinical diagnosis of the LV function. In this work, we proposed a new …

Novel adaptive balloon active contour method based on internal force for image segmentation–a systematic evaluation on synthetic and real images

PP Rebouças Filho, PC Cortez… - Expert Systems with …, 2014 - Elsevier
Many studies have been conducted on digital image segmentation, seeking to overcome the
limitations of different methods for specific applications. Thus, existing techniques are …

Automated recognition of lung diseases in CT images based on the optimum-path forest classifier

PPR Filho, ACS Barros, GLB Ramalho… - Neural Computing and …, 2019 - Springer
Abstract The World Health Organization estimated that around 300 million people have
asthma, and 210 million people are affected by Chronic Obstructive Pulmonary Disease …

Automatic segmentation of the left ventricle from cardiac MRI using deep learning and double snake model

Y Lan, R Jin - IEEE Access, 2019 - ieeexplore.ieee.org
The left ventricle segmentation (LVS) is of great important for the evaluation of cardiac
function. This study aimed to establish new segmentation algorithms that can enhance the …

Semi-supervised learning improves the performance of cardiac event detection in echocardiography

Y Li, H Li, F Wu, J Luo - Ultrasonics, 2023 - Elsevier
Detection of end-diastole (ED) and end-systole (ES) frames in echocardiography video is a
critical step for assessment of cardiac function. A recently released large public dataset, ie …

Comparative studies of deep learning segmentation models for left ventricle segmentation

MA Shoaib, KW Lai, JH Chuah, YC Hum, R Ali… - Frontiers in Public …, 2022 - frontiersin.org
One of the primary factors contributing to death across all age groups is cardiovascular
disease. In the analysis of heart function, analyzing the left ventricle (LV) from 2D …

A novel Vickers hardness measurement technique based on Adaptive Balloon Active Contour Method

FDL Moreira, MN Kleinberg, HF Arruda… - Expert systems with …, 2016 - Elsevier
Among the forms of assessment of materials to use in a particular application there is the
measuring systems of Vickers hardness. This measurement is performed manually by …