S1 and S2 heart sound recognition using deep neural networks
TE Chen, SI Yang, LT Ho, KH Tsai… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Objective: This study focuses on the first (S1) and second (S2) heart sound recognition
based only on acoustic characteristics; the assumptions of the individual durations of S1 and …
based only on acoustic characteristics; the assumptions of the individual durations of S1 and …
Classification of heart sound signal using curve fitting and fractal dimension
Cardiovascular disease is one of the major causes of mortality worldwide. Audio signal
produced by the mechanical activity of heart provides useful information about the heart …
produced by the mechanical activity of heart provides useful information about the heart …
Detection of S1 and S2 heart sounds by high frequency signatures
A new unsupervised and low complexity method for detection of S1 and S2 components of
heart sound without the ECG reference is described The most reliable and invariant feature …
heart sound without the ECG reference is described The most reliable and invariant feature …
The MyHeart project-fighting cardiovascular diseases by prevention and early diagnosis
J Habetha - 2006 international conference of the IEEE …, 2006 - ieeexplore.ieee.org
MyHeart is a so-called Integrated Project of the European Union aiming to develop
intelligent systems for the prevention and monitoring of cardiovascular diseases. The project …
intelligent systems for the prevention and monitoring of cardiovascular diseases. The project …
Classification of phonocardiograms with convolutional neural networks
O Deperlioglu - BRAIN. Broad Research in Artificial Intelligence and …, 2018 - edusoft.ro
The diagnosis of heart diseases from heart sounds is a matter of many years. This is the
effect of having too many people with heart diseases in the world. Studies on heart sounds …
effect of having too many people with heart diseases in the world. Studies on heart sounds …
Noise detection during heart sound recording using periodicity signatures
Heart sound is a valuable biosignal for diagnosis of a large set of cardiac diseases. Ambient
and physiological noise interference is one of the most usual and highly probable incidents …
and physiological noise interference is one of the most usual and highly probable incidents …
Temporal-framing adaptive network for heart sound segmentation without prior knowledge of state duration
Objective: This paper presents a novel heart sound segmentation algorithm based on
Temporal-Framing Adaptive Network (TFAN), including state transition loss and dynamic …
Temporal-Framing Adaptive Network (TFAN), including state transition loss and dynamic …
A new algorithm for detection of S1 and S2 heart sounds
This paper presents a new algorithm for segmentation and classification of S1 and S2 heart
sounds without ECG reference. The proposed approach is composed of three main stages …
sounds without ECG reference. The proposed approach is composed of three main stages …
Wavelet transform and simplicity based heart murmur segmentation
This paper is aimed at the identification of the boundaries of murmur present in heart sound.
Heart murmurs provide crucial diagnosis information for several heart diseases such as …
Heart murmurs provide crucial diagnosis information for several heart diseases such as …
Noise/spike detection in phonocardiogram signal as a cyclic random process with non-stationary period interval
H Naseri, MR Homaeinezhad, H Pourkhajeh - Computers in biology and …, 2013 - Elsevier
The major aim of this study is to describe a unified procedure for detecting noisy segments
and spikes in transduced signals with a cyclic but non-stationary periodic nature. According …
and spikes in transduced signals with a cyclic but non-stationary periodic nature. According …