Results 21 to 30 of about 7,978 (286)

Heartbeat murmurs detection in phonocardiogram recordings via transfer learning

Alexandria Engineering Journal, 2022
Heart murmurs are abnormal heartbeat patterns that could be indicative of a serious heart condition, which can only be detected by trained specialists with the use of a stethoscope.
Omair Rashed Abdulwareth Almanifi, Ahmad Fakhri Ab Nasir, Mohd Azraai Mohd Razman, Rabiu Muazu Musa, Anwar P.P. Abdul Majeed   +4 more
doaj   +2 more sources

A Comprehensive Nomogram Integrating Phonocardiogram and Echocardiogram Features for the Diagnosis of Heart Failure With Preserved Ejection Fraction. [PDF]

Clin Cardiol
A total of 204 patients and 49 features were collected. After splitting the population into training and test sets according to a ratio of 7:3, the LASSO and logistic regression was used to select the final five factors for a nomogram. The AUC for the nomogram model is 0.945, while the AUC for the echocardiographic parameters combined with NT‐proBNP in
Cao L, Guo X, Liao K, Qin J, Zheng Y.
europepmc   +2 more sources

Importance of fourth heart sound and preserved left atrial function in wild-type transthyretin amyloidosis. [PDF]

ESC Heart Fail
Abstract Aims A fourth heart sound (S4) was reported to be almost never present in patients with amyloid light‐chain cardiomyopathy. There have been no reports on S4 in patients with wild‐type transthyretin amyloid cardiomyopathy (ATTRwt‐CM). This study aimed to clarify the clinical implications of S4 in patients with ATTRwt‐CM.
Ochi Y, Yamasaki N, Kubo T, Baba Y, Miyagawa K, Noguchi T, Hirota T, Hamada T, Kitaoka H.   +8 more
europepmc   +2 more sources

Enhanced Identification of Valvular Heart Diseases through Selective Phonocardiogram Features Driven by Convolutional Neural Networks (SFD-CNN)

Jurnal Nasional Teknik Elektro
Valvular Heart Disease (VHD) is a significant cause of mortality worldwide. Although extensive research has been conducted to address this issue, practical implementation of existing VHD detection results in medicine still falls short of optimal ...
Muhammad Rafli Ramadhan, Satria Mandala, Rafi Ullah, Wael M.S. Yafooz, Muhammad Qomaruddin   +4 more
doaj   +3 more sources

The Application of Phonocardiogram in Clinics

Japanese Circulation Journal, 1960
Hiroshi Takasaki
openaire   +4 more sources

Early diastolic heart sounds caused by the atrial kick. [PDF]

Ann Noninvasive Electrocardiol
Phonogram (top) demonstrates an early diastolic sound (arrows) which corresponds to the P‐wave on the EKG in a patient with second‐degree type I AV block. Abstract An 81‐year‐old male with a history of coronary artery disease, hypertension, paroxysmal atrial fibrillation and chronic kidney disease presents with asymptomatic bradycardia. Examination was
Bachour K, Mendez E, Jackson S, Lluri G, Honda HM.   +4 more
europepmc   +2 more sources

Heart murmur detection from phonocardiogram recordings: The George B. Moody PhysioNet Challenge 2022

2022 Computing in Cardiology (CinC), 2022
The George B. Moody PhysioNet Challenge 2022 explored the detection of abnormal heart function from phonocardiogram (PCG) recordings. Although ultrasound imaging is becoming more common for investigating heart defects, the PCG still has the potential to ...
M. Reyna, Y. Kiarashi, A. Elola, J. Oliveira, F. Renna, A. Gu, E. Perez-Alday, N. Sadr, A. Sharma, S. Mattos, M. Coimbra, R. Sameni, Ali Bahrami Rad, G. Clifford   +13 more
semanticscholar   +1 more source

Exploring the Impact of Signal Quality Enhancement on Heart Sound Classification Models

IEEE Access, 2023
Limited cardiology resources increase the urgency for automated heart disease screening for the general public. Heart sound diagnostic models have been recently employed as a cost-effective solution for the initial screening of heart disease.
Davoud Shariat Panah, Andrew Hines, Susan Mckeever   +2 more
doaj   +1 more source

Classification of Heart Sounds Using Chaogram Transform and Deep Convolutional Neural Network Transfer Learning

Sensors, 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
Ali Harimi, Yahya Majd, Abdorreza Alavi Gharahbagh, Vahid Hajihashemi, Zeynab Esmaileyan, José J. M. Machado, João Manuel R. S. Tavares   +6 more
doaj   +1 more source

Enhanced Myocardial Infarction Identification in Phonocardiogram Signals Using Segmented Feature Extraction and Transfer Learning-Based Classification

IEEE Access, 2023
Myocardial Infarction (MI), commonly known as a heart attack, is a type of cardiovascular disease characterized by the death of heart muscle cells. This condition occurs due to the blockage of blood vessels around the heart, inhibiting blood flow and ...
Satria Mandala, Sabilla Suci Amini, .. Adiwijaya, Aulia Rayhan Syaifullah, M. Pramudyo, S. Nurmaini, A. H. Abdullah   +6 more
semanticscholar   +1 more source