Identification of coronary artery diseases using photoplethysmography signals and practical feature selection process
AS Al Fahoum, AO Abu Al-Haija, HA Alshraideh - Bioengineering, 2023 - mdpi.com
A low-cost, fast, dependable, repeatable, non-invasive, portable, and simple-to-use vascular
screening tool for coronary artery diseases (CADs) is preferred. Photoplethysmography …
screening tool for coronary artery diseases (CADs) is preferred. Photoplethysmography …
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 …
Phonocardiogram signal analysis for classification of Coronary Artery Diseases using MFCC and 1D adaptive local ternary patterns
Abstract Coronary Artery Diseases (CADs) are a dominant cause of worldwide fatalities. The
development of accurate and timely diagnosis routines is imperative to reduce these risks …
development of accurate and timely diagnosis routines is imperative to reduce these risks …
Experimental exploration of multilevel human pain assessment using blood volume pulse (bvp) signals
Critically ill patients often lack cognitive or communicative functions, making it challenging to
assess their pain levels using self-reporting mechanisms. There is an urgent need for an …
assess their pain levels using self-reporting mechanisms. There is an urgent need for an …
Computer-aided diagnosis system for cardiac disorders using variational mode decomposition and novel cepstral quinary patterns
Cardiac disorders cause a large number of human mortalities every year. This raises a
sheer need for an early and accurate diagnosis of cardiac disorders to provide early …
sheer need for an early and accurate diagnosis of cardiac disorders to provide early …
PCG signal classification using a hybrid multi round transfer learning classifier
S Ismail, B Ismail - Biocybernetics and Biomedical Engineering, 2023 - Elsevier
Diagnosis of cardiovascular diseases using Phonocardiography (PCG) is a challenging task
as signal itself is cyclo-stationary. It has spectral contents which are overlapped by multiple …
as signal itself is cyclo-stationary. It has spectral contents which are overlapped by multiple …
Intelligent bearing faults diagnosis featuring automated relative energy based empirical mode decomposition and novel cepstral autoregressive features
Vibration signal analysis is a significant approach in fault diagnosis. This article presents a
new vibration signal preprocessing scheme called Automated Relative Energy based …
new vibration signal preprocessing scheme called Automated Relative Energy based …
A novel embedded system design for the detection and classification of cardiac disorders
Phonocardiogram (PCG) signals hold significant prognostic and diagnostic information
about cardiac health. Numerous PCG or heart sound based automated detection algorithms …
about cardiac health. Numerous PCG or heart sound based automated detection algorithms …
Machine learning‐based classification of multiple heart disorders from PCG signals
Timely and accurate detection and diagnosis of heart disorders is a significant problem in
the medical community since the mortality rate is increasing. Pulsing of cardiac structures …
the medical community since the mortality rate is increasing. Pulsing of cardiac structures …
Classification of Multi-Class Cardiovascular Disorders using Ensemble Classifier and Impulsive Domain Analysis
MU Khan, SZZ Ali, A Ishtiaq, K Habib… - 2021 Mohammad Ali …, 2021 - ieeexplore.ieee.org
Cardiovascular diseases (CVD) have been one of the top two causes of death globally,
accounting for 633,842 fatalities. An intelligent system capable of detecting these disorders …
accounting for 633,842 fatalities. An intelligent system capable of detecting these disorders …