[HTML][HTML] The electronic stethoscope

S Leng, RS Tan, KTC Chai, C Wang, D Ghista… - Biomedical engineering …, 2015 - Springer
Most heart diseases are associated with and reflected by the sounds that the heart
produces. Heart auscultation, defined as listening to the heart sound, has been a very …

[图书][B] The illustrated wavelet transform handbook: introductory theory and applications in science, engineering, medicine and finance

PS Addison - 2017 - taylorfrancis.com
This second edition of The Illustrated Wavelet Transform Handbook: Introductory Theory and
Applications in Science, Engineering, Medicine and Finance has been fully updated and …

Comparative study of optimum medical diagnosis of human heart disease using machine learning technique with and without sequential feature selection

GN Ahmad, S Ullah, A Algethami, H Fatima… - ieee …, 2022 - ieeexplore.ieee.org
Predicting heart disease is regarded as one of the most difficult challenges in the health-
care profession. To predict cardiac disease, researchers employed a variety of algorithms …

Effective heart sound segmentation and murmur classification using empirical wavelet transform and instantaneous phase for electronic stethoscope

VN Varghees, KI Ramachandran - IEEE Sensors Journal, 2017 - ieeexplore.ieee.org
Accurate measurement of heart sound and murmur parameters is of great importance in the
automated analysis of phonocardiogram (PCG) signals. In this paper, we propose a novel …

Sequential feature selection and machine learning algorithm-based patient's death events prediction and diagnosis in heart disease

R Aggrawal, S Pal - SN Computer Science, 2020 - Springer
Due to the accessibility of data with multiple features, many feature determination
techniques available in written form. These features promote data with extremely high …

Classifying heart sounds using images of motifs, MFCC and temporal features

DM Nogueira, CA Ferreira, EF Gomes… - Journal of medical …, 2019 - Springer
Cardiovascular disease is the leading cause of death in the world, and its early detection is
a key to improving long-term health outcomes. The auscultation of the heart is still an …

Machine learning-based classification of cardiac diseases from PCG recorded heart sounds

A Yadav, A Singh, MK Dutta, CM Travieso - Neural Computing and …, 2020 - Springer
Cardiovascular diseases are one of the most fatal diseases across the globe. Clinically,
conventional stethoscope is used to check the medical condition of a human heart. Only a …

[HTML][HTML] Expert hypertension detection system featuring pulse plethysmograph signals and hybrid feature selection and reduction scheme

MU Khan, S Aziz, T Akram, F Amjad, K Iqtidar, Y Nam… - Sensors, 2021 - mdpi.com
Hypertension is an antecedent to cardiac disorders. According to the World Health
Organization (WHO), the number of people affected with hypertension will reach around …

[HTML][HTML] Development of an electronic stethoscope and a classification algorithm for cardiopulmonary sounds

YC Wu, CC Han, CS Chang, FL Chang, SF Chen… - Sensors, 2022 - mdpi.com
With conventional stethoscopes, the auscultation results may vary from one doctor to
another due to a decline in his/her hearing ability with age or his/her different professional …

Artificial intelligence and automation in valvular heart diseases

Q Long, X Ye, Q Zhao - Cardiology Journal, 2020 - journals.viamedica.pl
Artificial intelligence (AI) is gradually changing every aspect of social life, and healthcare is
no exception. The clinical procedures that were supposed to, and could previously only be …