Algorithms for automatic analysis and classification of heart sounds–a systematic review
Cardiovascular diseases currently pose the highest threat to human health around the
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …
world. Proper investigation of the abnormalities in heart sounds is known to provide vital …
A review of Hidden Markov models and Recurrent Neural Networks for event detection and localization in biomedical signals
Biomedical signals carry signature rhythms of complex physiological processes that control
our daily bodily activity. The properties of these rhythms indicate the nature of interaction …
our daily bodily activity. The properties of these rhythms indicate the nature of interaction …
An open access database for the evaluation of heart sound algorithms
In the past few decades, analysis of heart sound signals (ie the phonocardiogram or PCG),
especially for automated heart sound segmentation and classification, has been widely …
especially for automated heart sound segmentation and classification, has been widely …
Logistic regression-HSMM-based heart sound segmentation
The identification of the exact positions of the first and second heart sounds within a
phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic …
phonocardiogram (PCG), or heart sound segmentation, is an essential step in the automatic …
A sleep apnea detection method based on unsupervised feature learning and single-lead electrocardiogram
K Feng, H Qin, S Wu, W Pan… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Sleep apnea (SA) is a harmful respiratory disorder that has caused widespread concern
around the world. Considering that electrocardiogram (ECG)-based SA diagnostic methods …
around the world. Considering that electrocardiogram (ECG)-based SA diagnostic methods …
Segmentation of heart sound recordings by a duration-dependent hidden Markov model
Digital stethoscopes offer new opportunities for computerized analysis of heart sounds.
Segmentation of heart sound recordings into periods related to the first and second heart …
Segmentation of heart sound recordings into periods related to the first and second heart …
Heart sound segmentation—an event detection approach using deep recurrent neural networks
Objective: In this paper, we accurately detect the state-sequence first heart sound (S1)-
systole-second heart sound (S2)-diastole, ie, the positions of S1 and S2, in heart sound …
systole-second heart sound (S2)-diastole, ie, the positions of S1 and S2, in heart sound …
PCG classification through spectrogram using transfer learning
Heart rate classification is a challenging problem primarily due to spectral overlap of normal
heart sound with internal sources like extra heart sounds, extra systole, murmurs, respiration …
heart sound with internal sources like extra heart sounds, extra systole, murmurs, respiration …
Microscopic abnormality classification of cardiac murmurs using ANFIS and HMM
Auscultation of heart dispenses identification of the cardiac valves. An electronic
stethoscope is used for the acquisition of heart murmurs that is further classified into normal …
stethoscope is used for the acquisition of heart murmurs that is further classified into normal …
Method and apparatus for generating assessments using physical activity and biometric parameters
SF LeBoeuf, ME Aumer, ED Romesburg - US Patent 9,788,794, 2017 - Google Patents
US9788794B2 - Method and apparatus for generating assessments using physical activity and
biometric parameters - Google Patents US9788794B2 - Method and apparatus for generating …
biometric parameters - Google Patents US9788794B2 - Method and apparatus for generating …