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Heart murmurs in the general population: diagnostic value and prevalence from the Tromsø Study. [PDF]

Heart
Davidsen AH, Andersen S, Halvorsen PA, Aviles Solis JC, Schirmer H, Melbye H.   +5 more
europepmc   +1 more source

Separation of the Valvular Contribution to Heart Sounds through Blind Source Separation in Multi-Channel Phonocardiography

Noemi Giordano, Silvia Cannone, Gabriella Balestra, Samanta Rosati, Marco Knaflitz   +4 more
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HeartPrint: Passive Heart Sounds Authentication Exploiting In-Ear Microphones

IEEE Conference on Computer Communications, 2023
Biometrics has been increasingly integrated into wearable devices to enhance data privacy and security in recent years. Meanwhile, the popularity of wearables in turn creates a unique opportunity for capturing novel biometrics leveraging various embedded
Yetong Cao, Chao Cai, Fan Li, Zhe Chen, Jun Luo   +4 more
semanticscholar   +1 more source

Automatic classification and diagnosis of heart valve diseases using heart sounds with MFCC and proposed deep model

Concurrency and Computation, 2022
Heart sounds have been widely used for years to monitor and classify heart diseases. Experts manually examine these sounds, which is arduous and time‐consuming.
M. Yıldırım
semanticscholar   +1 more source

Heart Sounds Classification Based on Feature Fusion Using Lightweight Neural Networks

IEEE Transactions on Instrumentation and Measurement, 2021
Heart sounds are an important basis for evaluating heart disease. In recent years, auxiliary diagnosis technology of cardiovascular disease based on the detection of heart sound signals has become a research hotspot.
Suyi Li, Feng Li, Shijie Tang, F. Luo
semanticscholar   +1 more source

Heart sound simulator

Medical & Biological Engineering & Computing, 1995
41594
Tran, T, Jones, NB, Fothergill, JC
openaire   +3 more sources

Sound mind vs sound heart

British Journal of Hospital Medicine, 2016
Depressive and anxiety disorders have both have been associated with an increased risk of cardiovascular disease. This article highlights the multifactorial and bidirectional interaction between cardiovascular diseases, depression and anxiety, and the need for early assessment, diagnosis and intervention.
Baljit K, Upadhyay, Sara B, Katz, Anil, Upadhyay, Sathya, Cherukuri, Akeem, Sule   +4 more
openaire   +2 more sources

Multi-class Heart Sounds Classification Using 2D-Convolutional Neural Network

International Conference on Communication, Computing & Security, 2020
Heart disease is a major concern. To prevent this, it is important to detect cardiovascular diseases at the early stage. Early discovery of heart infections and constant treatment can lessen the death rate.
Megha Banerjee, S. Majhi
semanticscholar   +1 more source

A Semi-Supervised Approach For Identifying Abnormal Heart Sounds Using Variational Autoencoder

IEEE International Conference on Acoustics, Speech, and Signal Processing, 2020
Abnormal heart sounds may have diverse frequency characteristics depending upon underlying pathological conditions. Designing a binary classifier for predicting normal and abnormal heart sounds using supervised learning requires a lot of training data ...
Rohan Banerjee, Avik Ghose
semanticscholar   +1 more source