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Machine learning and iot applied to cardiovascular diseases identification through heart sounds: A literature review
This article presents a systematic map** study dedicated to conduct a literature review on
machine learning and IoT applied in the identification of diseases through heart sounds …
machine learning and IoT applied in the identification of diseases through heart sounds …
Cardiac murmur grading and risk analysis of cardiac diseases based on adaptable heterogeneous-modality multi-task learning
Cardiovascular disease (CVDs) has become one of the leading causes of death, posing a
significant threat to human life. The development of reliable Artificial Intelligence (AI) …
significant threat to human life. The development of reliable Artificial Intelligence (AI) …
Deep learning fusion framework for automated coronary artery disease detection using raw heart sound signals
YF Dai, PF Liu, WQ Hou, K Kadier, ZY Mu, Z Lu… - Heliyon, 2024 - cell.com
One of the most common cardiovascular diseases is coronary artery disease (CAD). Thus, it
is crucial for early CAD diagnosis to control disease progression. Computer-aided CAD …
is crucial for early CAD diagnosis to control disease progression. Computer-aided CAD …
Zchsound: open-source zju paediatric heart sound database with congenital heart disease
W Jia, Y Wang, R Chen, J Ye, D Li, F Yin… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Congenital heart disease (CHD) is a common birth defect in children. Intelligent auscultation
algorithms have been proven to reduce the subjectivity of diagnoses and alleviate the …
algorithms have been proven to reduce the subjectivity of diagnoses and alleviate the …
Heart function grading evaluation based on heart sounds and convolutional neural networks
X Chen, X Guo, Y Zheng, C Lv - Physical and Engineering Sciences in …, 2023 - Springer
Accurate and rapid cardiac function assessment is critical for disease diagnosis and
treatment strategy. However, the current cardiac function assessment methods have their …
treatment strategy. However, the current cardiac function assessment methods have their …
Lightweight network coupled with heart sounds to evaluate exercise-induced cardiac fatigue
C Yin, Y Shi, X Ding, X Guo - Sensors and Actuators A: Physical, 2023 - Elsevier
Exercise-induced cardiac fatigue (EICF), namely a transient decline in ventricular
systolic/diastolic function, usually happens in arduous endurance athletes, which increases …
systolic/diastolic function, usually happens in arduous endurance athletes, which increases …
Beat-wise uncertainty learning for murmur detection in heart sounds
This paper introduces a murmur detection solution (Team SeaCrying) to the PhysioNet
Challenge 2022. The method is based on beat-wise uncertainty learning for heart sounds …
Challenge 2022. The method is based on beat-wise uncertainty learning for heart sounds …