Heart murmur detection from phonocardiogram recordings: The george b. moody physionet challenge 2022
Cardiac auscultation is an accessible diagnostic screening tool that can help to identify
patients with heart murmurs, who may need follow-up diagnostic screening and treatment for …
patients with heart murmurs, who may need follow-up diagnostic screening and treatment for …
Deep learning methods for heart sounds classification: a systematic review
The automated classification of heart sounds plays a significant role in the diagnosis of
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
cardiovascular diseases (CVDs). With the recent introduction of medical big data and …
Heart sound classification based on improved MFCC features and convolutional recurrent neural networks
Heart sound classification plays a vital role in the early detection of cardiovascular disorders,
especially for small primary health care clinics. Despite that much progress has been made …
especially for small primary health care clinics. Despite that much progress has been made …
The CirCor DigiScope dataset: from murmur detection to murmur classification
Cardiac auscultation is one of the most cost-effective techniques used to detect and identify
many heart conditions. Computer-assisted decision systems based on auscultation can …
many heart conditions. Computer-assisted decision systems based on auscultation can …
Deep transfer learning for automatic speech recognition: Towards better generalization
Automatic speech recognition (ASR) has recently become an important challenge when
using deep learning (DL). It requires large-scale training datasets and high computational …
using deep learning (DL). It requires large-scale training datasets and high computational …
An efficient and robust phonocardiography (pcg)-based valvular heart diseases (vhd) detection framework using vision transformer (vit)
Background and objectives: Valvular heart diseases (VHDs) are one of the dominant causes
of cardiovascular abnormalities that have been associated with high mortality rates globally …
of cardiovascular abnormalities that have been associated with high mortality rates globally …
Convolutional and recurrent neural networks for the detection of valvular heart diseases in phonocardiogram recordings
M Alkhodari, L Fraiwan - Computer Methods and Programs in Biomedicine, 2021 - Elsevier
Valvular heart diseases (VHD) are one of the major causes of cardiovascular diseases that
are having high mortality rates worldwide. The early diagnosis of VHD prevents the …
are having high mortality rates worldwide. The early diagnosis of VHD prevents the …
An open access database for evaluating the algorithms of electrocardiogram rhythm and morphology abnormality detection
F Liu, C Liu, L Zhao, X Zhang, X Wu… - Journal of Medical …, 2018 - ingentaconnect.com
Over the past few decades, methods for classification and detection of rhythm or morphology
abnormalities in ECG signals have been widely studied. However, it lacks the …
abnormalities in ECG signals have been widely studied. However, it lacks the …
Ensemble of feature-based and deep learning-based classifiers for detection of abnormal heart sounds
The goal of the 2016 PhysioNet/CinC Challenge is the development of an algorithm to
classify normal/abnormal heart sounds. A total of 124 time-frequency features were …
classify normal/abnormal heart sounds. A total of 124 time-frequency features were …
CardioXNet: A novel lightweight deep learning framework for cardiovascular disease classification using heart sound recordings
The alarmingly high mortality rate and increasing global prevalence of cardiovascular
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …