A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection

B Bozkurt, I Germanakis, Y Stylianou - Computers in biology and medicine, 2018 - Elsevier
This study concerns the task of automatic structural heart abnormality risk detection from
digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening …
被引用次数：171 相关文章

A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection

B Bozkurt, I Germanakis… - Computers in biology …, 2018 - pubmed.ncbi.nlm.nih.gov
This study concerns the task of automatic structural heart abnormality risk detection from
digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening …

A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection.

B Bozkurt, I Germanakis, Y Stylianou - Computers in Biology and …, 2018 - europepmc.org
This study concerns the task of automatic structural heart abnormality risk detection from
digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening …

A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection

B Bozkurt, I Germanakis, Y Stylianou - 2018 - dl.acm.org
This study concerns the task of automatic structural heart abnormality risk detection from
digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening …

A study of time-frequency features for CNN-based automatic heart sound classification for pathology detection

B Bozkurt, I Germanakis, Y Stylianou - Computers in Biology and Medicine, 2018 - infona.pl
This study concerns the task of automatic structural heart abnormality risk detection from
digital phonocardiogram (PCG) signals aiming at pediatric heart disease screening …