Peak spectrogram and convolutional neural network-based segmentation and classification for phonocardiogram signals
A Abid - Advances in Non-Invasive Biomedical Signal Sensing …, 2023 - Springer
Heart diseases are one of the contributing reasons for the human loss in the world. The
Phonocardiogram (PCG) provides information for the exact and timely detection of …
Phonocardiogram (PCG) provides information for the exact and timely detection of …
Phonocardiogram classification using deep convolutional neural networks with majority vote strategy
Most current automated phonocardiogram (PCG) classification methods are relied on PCG
segmentation. It is universal to make use of the segmented PCG signals and then extract …
segmentation. It is universal to make use of the segmented PCG signals and then extract …
Identification of normal and abnormal heart sounds by prominent peak analysis
This paper presents an automatic method of segmenting normal and abnormal
Phonocardiography (PCG) signals by analyzing prominent peak distances, amplitudes …
Phonocardiography (PCG) signals by analyzing prominent peak distances, amplitudes …
Key techniques and challenges for processing of heart sound signals
SH Shaikh Salleh, FM Noman, T Chee-Ming… - … Conference on Applied …, 2021 - Springer
Recently, new advances and emerging technologies in healthcare and medicine have been
growing rapidly, allowing for automatic disease diagnosis. Healthcare technology advances …
growing rapidly, allowing for automatic disease diagnosis. Healthcare technology advances …
Cross-wavelet assisted convolution neural network (AlexNet) approach for phonocardiogram signals classification
The exponential growth of a multitude of cardiovascular diseases, leading to life frightening
conditions, makes fast and accurate computer-aided techniques that are relevant and …
conditions, makes fast and accurate computer-aided techniques that are relevant and …
Machine Learning Algorithms for Processing and Classifying Unsegmented Phonocardiographic Signals: An Efficient Edge Computing Solution Suitable for Wearable …
The phonocardiogram (PCG) can be used as an affordable way to monitor heart conditions.
This study proposes the training and testing of several classifiers based on SVMs (support …
This study proposes the training and testing of several classifiers based on SVMs (support …
Feature extraction and classification of phonocardiograms using convolutional neural networks
D Chakraborty, S Bhattacharya… - 2020 IEEE 1st …, 2020 - ieeexplore.ieee.org
Heart auscultation is a primary and cost-effective form of clinical examination of the patient.
Phonocardiogram (PCG) is a high-fidelity recording that captures the heart auscultation …
Phonocardiogram (PCG) is a high-fidelity recording that captures the heart auscultation …
Deep learning for heart sounds classification using scalograms and automatic segmentation of PCG signals
J Gelpud, S Castillo, M Jojoa, B Garcia-Zapirain… - … : 16th International Work …, 2021 - Springer
This paper proposes a set of Deep Learning algorithms for classifying Phonocardiogram
(PCG) scalogram. PCG signals contain valuable information about the heart health status …
(PCG) scalogram. PCG signals contain valuable information about the heart health status …
Deep learning based classification of unsegmented phonocardiogram spectrograms leveraging transfer learning
Objective. Cardiovascular diseases (CVDs) are a main cause of deaths all over the world.
This research focuses on computer-aided analysis of phonocardiogram (PCG) signals …
This research focuses on computer-aided analysis of phonocardiogram (PCG) signals …
Deep recurrent learning for heart sounds segmentation based on instantaneous frequency features
In this work, a novel stack of well-known technologies is presented to determine an
automatic method to segment the heart sounds in a phonocardiogram (PCG). We will show …
automatic method to segment the heart sounds in a phonocardiogram (PCG). We will show …