Results 81 to 90 of about 2,160 (180)

A Deep Learning Framework for Early Detection of Potential Cardiac Anomalies via Murmur Pattern Analysis in Phonocardiograms

Engineering Proceedings
Heart murmurs, resulting from turbulent blood flow within the cardiac structure, represent some of the initial acoustic manifestations of potential underlying cardiovascular anomalies, such as arrhythmias. This research presents a deep learning framework
Aymane Edder, Fatima-Ezzahraa Ben-Bouazza, Oumaima Manchadi, Youssef Ait Bigane, Djeneba Sangare, Bassma Jioudi   +5 more
doaj   +1 more source

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

THE PHONOCARDIOGRAM OF AORTIC STENOSIS [PDF]

Heart, 1951
openaire   +2 more sources

Heart Murmur Quality Detection Using Deep Neural Networks with Attention Mechanism

Applied Sciences
Heart murmurs play a critical role in assessing the condition of the heart. Murmur quality reflects the subjective human perception of heart murmurs and is an important characteristic strongly linked to cardiovascular diseases (CVDs).
Tingwei Wu, Zhaohan Huang, Shilong Li, Qijun Zhao, Fan Pan   +4 more
doaj   +1 more source

Phonocardiogram: evaluate and construction

Educación Física y Ciencia, 2016
This paper presents the development of a test to monitor heart rate (HR) which is characterized by low cost material expended in its production. In order to verify the applicability of the phonocardiogram (FCG), it was compared with a HR monitor from ...
Fernanda Vargas Amaral, Adilson Monte
doaj  

Synchronous post-exercise electrocardiogram, phonocardiogram, photoplethysmograms and seismocardiogram

Scientific Data
Noninvasive electromechanical assessment of cardiovascular function is emerging as a cost-effective method for diagnosis of heart failure and arterial diseases, and for telemedical monitoring of blood pressure and neural disorders.
Aleksandar Lazović, Vladimir Atanasoski, Predrag Tadić, Natalija Djordjević, Maša Tiosavljević, Marija D. Ivanović, Ljupčo Hadžievski, Arsen Ristić, Vladan Vukčević, Jovana Petrović   +9 more
doaj   +1 more source

Cardio-Dense: Diagnosis of Cardiac Abnormalities Based on Phonocardiogram Using Improved Swin Transformer Through Lightweight Dense Blocks. [PDF]

Diagnostics (Basel)
Ahmed AES, Ibrahim MEA, Daadaa Y.
europepmc   +1 more source

Prevalence of Early Rheumatic Heart Disease Among Asymptomatic Students in Underserved Communities in Ethiopia: Cross-Sectional Observational Study. [PDF]

JMIR Public Health Surveill
Chuma AT, Kassie DM, Voigt JU, Asmare MH, Youssef AS, Varon C, Willems R, Yates M, Sikamo AP, Birhan YA, Wang C, Vanrumste B.   +11 more
europepmc   +1 more source

A Novel Haptic Cardiac Simulator: Mixed Methods Pilot Evaluation in Medical Students and Educators. [PDF]

JMIR Form Res
House SJ, Jay R, O'Brien DG.
europepmc   +1 more source

DTF-STCANet: A Dual Time-Frequency Swin Transformer and ConvNeXt Attention Network for Heart Sound Classification. [PDF]

Diagnostics (Basel)
Bilen MN, Çelik FM, Kobat MA, Demir F.
europepmc   +1 more source