Phonocardiogram signal processing for automatic diagnosis of congenital heart disorders through fusion of temporal and cepstral features
Congenital heart disease (CHD) is a heart disorder associated with the devastating
indications that result in increased mortality, increased morbidity, increased healthcare …
indications that result in increased mortality, increased morbidity, increased healthcare …
Automated diagnosis of coronary artery disease using tunable-Q wavelet transform applied on heart rate signals
Coronary artery disease (CAD) is the narrowing of coronary arteries leading to inadequate
supply of nutrients and oxygen to the heart muscles. Over time, the condition can weaken …
supply of nutrients and oxygen to the heart muscles. Over time, the condition can weaken …
Application of higher-order spectra for the characterization of coronary artery disease using electrocardiogram signals
Abstract Coronary Artery Disease (CAD) is the root cause for chain of catastrophic heart
diseases such as Ischemic Heart Disease (IHD), Myocardial Infarction (MI) or Heart Attack …
diseases such as Ischemic Heart Disease (IHD), Myocardial Infarction (MI) or Heart Attack …
LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogram
J Li, J Yuan, H Wang, S Liu, Q Guo, Y Ma… - Physiological …, 2021 - iopscience.iop.org
Objective. Auscultation of lung sound plays an important role in the early diagnosis of lung
diseases. This work aims to develop an automated adventitious lung sound detection …
diseases. This work aims to develop an automated adventitious lung sound detection …
Exploiting feature selection and neural network techniques for identification of focal and nonfocal EEG signals in TQWT domain
For drug resistance patients, removal of a portion of the brain as a cause of epileptic
seizures is a surgical remedy. However, before surgery, the detailed analysis of the epilepsy …
seizures is a surgical remedy. However, before surgery, the detailed analysis of the epilepsy …
Automatic diagnosis of septal defects based on tunable-Q wavelet transform of cardiac sound signals
S Patidar, RB Pachori, N Garg - Expert Systems with Applications, 2015 - Elsevier
Accurate and quick diagnosis of cardiac disorders like septal defects can be performed by
automatic analysis of cardiac sound signals using advanced signal processing methods. In …
automatic analysis of cardiac sound signals using advanced signal processing methods. In …
Detection of k-complexes in EEG signals using a multi-domain feature extraction coupled with a least square support vector machine classifier
W Al-Salman, Y Li, P Wen - Neuroscience Research, 2021 - Elsevier
Sleep scoring is one of the primary tasks for the classification of sleep stages using
electroencephalogram (EEG) signals. It is one of the most important diagnostic methods in …
electroencephalogram (EEG) signals. It is one of the most important diagnostic methods in …
Classification of heart disorders based on tunable-Q wavelet transform of cardiac sound signals
S Patidar, RB Pachori - Chaos Modeling and Control Systems Design, 2015 - Springer
The mechanical action of the heart generates sounds which can provide diagnostic
information about the functioning of the cardiovascular system. Cardiac auscultation is an …
information about the functioning of the cardiovascular system. Cardiac auscultation is an …
Congestive heart failure from ECG prediction using empirical wavelets transform algorithm
NT Sarshar, M Abdossalehi - Signal Processing and Renewable …, 2022 - oiccpress.com
Heart diseases are the leading cause of death worldwide as such the use of an advanced
information processing method to diagnose heart disease is one of the most critical fields of …
information processing method to diagnose heart disease is one of the most critical fields of …
IoT-enabled heart monitoring device with signal de-noising and segmentation using discrete wavelet transform
JX Low, KW Choo - … on control, automation, robotics and vision …, 2018 - ieeexplore.ieee.org
This paper describes an implementation of a BLE-enabled smart heart monitoring system by
incorporating synchronous capturing of critical heart physiological signals in a single device …
incorporating synchronous capturing of critical heart physiological signals in a single device …