Algorithms for automatic analysis and classification of heart sounds–a systematic review

AK Dwivedi, SA Imtiaz, E Rodriguez-Villegas - IEEE Access, 2018 - ieeexplore.ieee.org
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 …

An open access database for the evaluation of heart sound algorithms

C Liu, D Springer, Q Li, B Moody… - Physiological …, 2016 - iopscience.iop.org
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 …

A review of intelligent systems for heart sound signal analysis

M Nabih-Ali, ELSA El-Dahshan… - Journal of medical …, 2017 - Taylor & Francis
Intelligent computer-aided diagnosis (CAD) systems can enhance the diagnostic capabilities
of physicians and reduce the time required for accurate diagnosis. CAD systems could …

[图书][B] Time-frequency analysis techniques and their applications

RB Pachori - 2023 - taylorfrancis.com
Most of the real-life signals are non-stationary in nature. The examples of such signals
include biomedical signals, communication signals, speech, earthquake signals, vibration …

CardioXNet: A novel lightweight deep learning framework for cardiovascular disease classification using heart sound recordings

SB Shuvo, SN Ali, SI Swapnil, MS Al-Rakhami… - ieee …, 2021 - ieeexplore.ieee.org
The alarmingly high mortality rate and increasing global prevalence of cardiovascular
diseases (CVDs) signify the crucial need for early detection schemes. Phonocardiogram …

Automated diagnosis of glaucoma using empirical wavelet transform and correntropy features extracted from fundus images

S Maheshwari, RB Pachori… - IEEE journal of …, 2016 - ieeexplore.ieee.org
Glaucoma is an ocular disorder caused due to increased fluid pressure in the optic nerve. It
damages the optic nerve and subsequently causes loss of vision. The available scanning …

A decision support system for automatic sleep staging from EEG signals using tunable Q-factor wavelet transform and spectral features

AR Hassan, MIH Bhuiyan - Journal of neuroscience methods, 2016 - Elsevier
Background Automatic sleep scoring is essential owing to the fact that conventionally a large
volume of data have to be analyzed visually by the physicians which is onerous, time …

A novel approach for automated detection of focal EEG signals using empirical wavelet transform

A Bhattacharyya, M Sharma, RB Pachori… - Neural Computing and …, 2018 - Springer
The determination of epileptogenic area is a prime task in presurgical evaluation. The
seizure activity can be prevented by operating the affected areas by clinical surgery. In this …

Iterative variational mode decomposition based automated detection of glaucoma using fundus images

S Maheshwari, RB Pachori, V Kanhangad… - Computers in biology …, 2017 - Elsevier
Glaucoma is one of the leading causes of permanent vision loss. It is an ocular disorder
caused by increased fluid pressure within the eye. The clinical methods available for the …

An expert system for automated identification of obstructive sleep apnea from single-lead ECG using random under sampling boosting

AR Hassan, MA Haque - Neurocomputing, 2017 - Elsevier
Computerized obstructive sleep apnea detection is necessary to speed-up sleep apnea
diagnosis and research and for assisting medical professionals. Moreover, the development …