The electronic stethoscope
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 …
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 …
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 …
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 …
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 …
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 …
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
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 …
conventional stethoscope is used to check the medical condition of a human heart. Only a …
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 …
no exception. The clinical procedures that were supposed to, and could previously only be …
Expert hypertension detection system featuring pulse plethysmograph signals and hybrid feature selection and reduction scheme
Hypertension is an antecedent to cardiac disorders. According to the World Health
Organization (WHO), the number of people affected with hypertension will reach around …
Organization (WHO), the number of people affected with hypertension will reach around …
Development of an electronic stethoscope and a classification algorithm for cardiopulmonary sounds
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 …
another due to a decline in his/her hearing ability with age or his/her different professional …