Results 241 to 250 of about 4,260,860 (287)

Physiological Monitoring of Sound-Based Relaxation Using Binaural Audio and Vibroacoustic Stimulation. [PDF]

Sensors (Basel)
Paulo JP, Fernandes A, Lourenço A.
europepmc   +1 more source

Uncertainty quantification-based DMEFNet for reliable modelling of heart sound signals. [PDF]

Sci Rep
Suchithra KP, Mohan N, Acharya UR, Kumar SS.   +3 more
europepmc   +1 more source

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A Novel Heart-Mobile Interface for Detection and Classification of Heart Sounds

Biomedical Signal Processing and Control, 2018
Abstract Diagnosis of heart disease requires that a medical practitioner investigate heart auscultations for irregular sounds, followed by echocardiography and electrocardiography tests. These expensive tests also require specialized technicians to operate.
Ram Dantu, Pradhumna Shrestha, Shanti R Thiyagaraja   +2 more
exaly   +2 more sources

Classification of Heart Sounds Using an Artificial Neural Network

Pattern Recognition Letters, 2003
A novel method is presented for the classification of heart sounds (HSs). Wavelet transform is applied to a window of two periods of HSs. Two analyses are realized for the signals in the window: segmentation of the first and second HSs, and extraction of the features.After the segmentation, feature vectors are formed by using the wavelet detail ...
Tamer Olmez, Zümray Dokur
exaly   +3 more sources

Assisting Heart Valve Diseases Diagnosis via Transformer-Based Classification of Heart Sound Signals

Electronics, 2023
Background: In computer-aided medical diagnosis or prognosis, the automatic classification of heart valve diseases based on heart sound signals is of great importance since the heart sound signal contains a wealth of information that can reflect the ...
Xiaobo Zhao, Yingbang Yao, Tao Tao
exaly   +2 more sources

A Federated Learning Paradigm for Heart Sound Classification

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2022
Cardiovascular diseases (CVDs) have been ranked as the leading cause for deaths. The early diagnosis of CVDs is a crucial task in the medical practice. A plethora of efforts were given to the automated auscultation of heart sound, which leverages the power of computer audition to develop a cheap, non-invasive method that can be used at any time and ...
Wanyong Qiu, Kun Qian 0003, Zhihua Wang, Yi Chang 0004, Zhihao Bao, Bin Hu 0001, Björn W. Schuller, Yoshiharu Yamamoto   +7 more
openaire   +2 more sources

Segmentation and classification of heart sounds

Canadian Conference on Electrical and Computer Engineering, 2005., 2006
An algorithm for segmentation of heart sounds (HSs) into a single cardiac cycle (Sl-Systole-S2-Diastole) using homomorphic filtering and k-means clustering and a three way classification of heart sounds into normal (N), systolic murmur (S), and diastolic murmur (D), based on neural networks is developed.
C.N. Gupta, R. Palaniappan, S. Rajan, S. Swaminathan, S.M. Krishnan   +4 more
openaire   +3 more sources

Cluster analysis and classification of heart sounds

Biomedical Signal Processing and Control, 2009
Acoustic heart signals, generated by the mechanical processes of the cardiac cycle, carry significant information about the underlying functioning of the cardiovascular system. We describe a computational analysis framework for identifying distinct morphologies of heart sounds and classifying them into physiological states.
Guy Amit, Noam Gavriely, Nathan Intrator
openaire   +2 more sources