Results 11 to 20 of about 2,256 (181)

Diagnostic Performance of a Deep Learning Model Using Phonocardiogram and Single‐Lead ECG Signals for Detecting Moderate‐or‐Greater Aortic Stenosis: Multicenter External Validation [PDF]

Clin Cardiol
In an independent multicenter cohort of 951 patients undergoing echocardiography, a deep learning model analyzing an 8‐s heart sound and ECG recording detected moderate‐or‐greater aortic stenosis with 92.9% sensitivity and 87.9% specificity. This approach may support the decision to refer patients from auscultation to echocardiography.
Saito S, Ishii M, Ogawa S, Seki H, Ikeda K, Kayano Y, Yasui Y, Sato G, Ohishi M, Kubozono T, Saito N, Kato E, Yamada M, Natori S, Kunikane Y, Yokomatsu T, Kato M, Sagara Y, Uchiyama N, Atsuchi N, Kawahara S, Natsugoe S, Tabata N, Tsujita K.   +23 more
europepmc   +2 more sources

Discrimination of Patients with Varying Degrees of Coronary Artery Stenosis by ECG and PCG Signals Based on Entropy

Entropy, 2021
Coronary heart disease (CHD) is the leading cause of cardiovascular death. This study aimed to propose an effective method for mining cardiac mechano-electric coupling information and to evaluate its ability to distinguish patients with varying degrees ...
Huan Zhang, Xinpei Wang, Changchun Liu, Yuanyang Li, Yuanyuan Liu, Yu Jiao, Tongtong Liu, Huiwen Dong, Jikuo Wang   +8 more
doaj   +1 more source

Cross-Domain Transfer Learning for PCG Diagnosis Algorithm

Biosensors, 2021
Cardiechema is a way to reflect cardiovascular disease where the doctor uses a stethoscope to help determine the heart condition with a sound map.
Kuo-Kun Tseng, Chao Wang, Yu-Feng Huang, Guan-Rong Chen, Kai-Leung Yung, Wai-Hung Ip   +5 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

Deep Recurrent Learning for Heart Sounds Segmentation based on Instantaneous Frequency Features

Revista Elektrón, 2020
In this work, a novel stack of well-known technologies is presented to determine an automatic method to segment the heart sounds in a phonocardiogram (PCG).
Alvaro Joaquin Gaona, Pedro David Arini
doaj   +1 more source

Rheumatic Heart Disease Screening Based on Phonocardiogram

Sensors, 2021
Rheumatic heart disease (RHD) is one of the most common causes of cardiovascular complications in developing countries. It is a heart valve disease that typically affects children. Impaired heart valves stop functioning properly, resulting in a turbulent
Melkamu Hunegnaw Asmare, Benjamin Filtjens, Frehiwot Woldehanna, Luc Janssens, Bart Vanrumste   +4 more
doaj   +1 more source

Cardiorespiratory system monitoring using a developed acoustic sensor

Healthcare Technology Letters, 2018
This Letter proposes a wireless acoustic sensor for monitoring heartbeat and respiration rate based on phonocardiogram (PCG). The developed sensor comprises a processor, a transceiver which operates at industrial, scientific and medical band and the ...
Reza Abbasi-Kesbi, Atefeh Valipour, Khadije Imani   +2 more
doaj   +1 more source

Early Heart Disease Prediction Using LV-PSO and Fuzzy Inference Xception Convolution Neural Network on Phonocardiogram Signals [PDF]

Frontiers in Neuroinformatics
C Palanisamy
exaly   +2 more sources

Wavelet-based fundamental heart sound recognition method using morphological and interval features

Healthcare Technology Letters, 2018
Accurate and reliable recognition of fundamental heart sounds (FHSs) plays a significant role in automated analysis of heart sound (HS) patterns. This Letter presents an automated wavelet-based FHS recognition (WFHSR) method using morphological and ...
V. Nivitha Varghees, K.I. Ramachandran, K.P. Soman   +2 more
doaj   +1 more source

Study of the Correlation Between the Ratio of Diastolic to Systolic Durations and Echocardiography Measurements and Its Application to the Classification of Heart Failure Phenotypes

International Journal of General Medicine, 2021
Lifang Cheng,1,2,* Kangla Liao,2,* Yingying Wang,2 Fajin Lv,1 Xingming Guo,3 Yineng Zheng,1 Jian Qin2 1Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, People’s Republic of China ...
Cheng L, Liao K, Wang Y, Lv F, Guo X, Zheng Y, Qin J   +6 more
doaj