Results 1 to 10 of about 3,460,573 (292)

Classification of Heart Sounds Using Chaogram Transform and Deep Convolutional Neural Network Transfer Learning. [PDF]

Sensors (Basel), 2022
Heart sounds convey important information regarding potential heart diseases. Currently, heart sound classification attracts many researchers from the fields of telemedicine, digital signal processing, and machine learning—among others—mainly to identify
Harimi A, Majd Y, Gharahbagh AA, Hajihashemi V, Esmaileyan Z, Machado JJM, Tavares JMRS.   +6 more
europepmc   +2 more sources

CNN-LSTM for Heartbeat Sound Classification

JOIV: International Journal on Informatics Visualization
Cardiovascular disorders are among the primary causes of death. Regularly monitoring the heart is of paramount importance in preventing fatalities arising from heart diseases.
Nurseno Bayu Aji, Kurnianingsih Kurnianingsih, Naoki Masuyama, Yusuke Nojima   +3 more
doaj   +1 more source

Multiscale analysis of heart sound signals in the wavelet domain for heart murmur detection

Scientific Reports
A heart murmur is an atypical sound produced by blood flow through the heart. It can indicate a serious heart condition, so detecting heart murmurs is critical for identifying and managing cardiovascular diseases. However, current methods for identifying
Dixon Vimalajeewa, Chihoon Lee, Brani Vidakovic   +2 more
doaj   +1 more source

Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort. [PDF]

Front Cardiovasc Med, 2023
Waaler PN, Melbye H, Schirmer H, Johnsen MK, Donnem T, Ravn J, Andersen S, Davidsen AH, Aviles Solis JC, Stylidis M, Bongo LA.   +10 more
europepmc   +1 more source

Evaluation of the heart sounds in children using a Doppler Phonolyser. [PDF]

Biomed Eng Online, 2023
Khalilian MR, Safari M, Hajipour M, Rahmani K, Safari M, Ahmadpour MH, Tahouri T.   +6 more
europepmc   +1 more source

Acoustic cardiac signals analysis: a Kalman filter–based approach

International Journal of Nanomedicine, 2012
Sheik Hussain Salleh,1 Hadrina Sheik Hussain,2 Tan Tian Swee,2 Chee-Ming Ting,2 Alias Mohd Noor,2 Surasak Pipatsart,3 Jalil Ali,4 Preecha P Yupapin31Department of Biomedical Instrumentation and Signal Processing, Universiti Teknologi Malaysia, Skudai ...
Salleh SH, Hussain HS, Swee TT, Ting CM, Noor AM, Pipatsart S, Ali J, Yupapin PP   +7 more
doaj  

Separation of the Aortic and Pulmonary Components of the Second Heart Sound via Alternating Optimization

IEEE Access
An algorithm for blind source separation (BSS) of the second heart sound (S2) into aortic and pulmonary components is proposed. It recovers aortic (A2) and pulmonary (P2) waveforms, as well as their relative delays, by solving an alternating optimization
Francesco Renna, Alex Gaudio, Sandra Mattos, Mark D. Plumbley, Miguel Tavares Coimbra   +4 more
doaj   +1 more source

Identification of decompensation episodes in chronic heart failure patients based solely on heart sounds. [PDF]

Front Cardiovasc Med, 2022
Susič D, Poglajen G, Gradišek A.
europepmc   +1 more source

Estimation of systolic blood pressure by Random Forest using heart sounds and a ballistocardiogram. [PDF]

Sci Rep, 2022
Gonzalez-Landaeta R, Ramirez B, Mejia J.
europepmc   +1 more source

Gender of Fetus Identification Using Modified Mel-Frequency Cepstral Coefficients Based on Fractional Discrete Cosine Transform

IEEE Access
Fetal heart sounds is measured to follow the developing status of fetus. The used database of fetal heart sounds is obtained from Physionet challenge. In this paper, novel models are created to extract features from fetal heart sounds; to identify the ...
Mohamed Moustafa Azmy
doaj   +1 more source