Results 101 to 110 of about 5,458 (233)

Impact of a Right Ventricular Impedance Sensor on the Cardiovascular Responses to Exercise in Pacemaker Dependent Patients [PDF]

, 2005
Background. The evaluation of the heart rate (HR) response to exercise is important for the assessment of the rate response algorithm of sensor-controlled pacemakers.
Corey, Tomczak, Edward, Busse, John, Tsang, Linnea, Cook, Robert, Haennel, Tada, Hiroshi, Wladyslaw, Wojcik   +6 more
core  

A Framework for AI-Assisted Detection of Patent Ductus Arteriosus from Neonatal Phonocardiogram [PDF]

, 2021
Sergi Gómez-Quintana, Christoph E. Schwarz, Ihor Shelevytsky, Victoriya Shelevytska, Oksana Semenova, Andreea Factor, Emanuel Popovici, Andriy Temko   +7 more
openalex   +1 more source

A review on deep learning methods for heart sound signal analysis

Frontiers in Artificial Intelligence
IntroductionApplication of Deep Learning (DL) methods is being increasingly appreciated by researchers from the biomedical engineering domain in which heart sound analysis is an important topic of study.
Elaheh Partovi, Ankica Babic, Ankica Babic, Arash Gharehbaghi   +3 more
doaj   +1 more source

A color spectrographic phonocardiography (CSP) applied to the detection and characterization of heart murmurs: preliminary results

BioMedical Engineering OnLine, 2011
Background Although cardiac auscultation remains important to detect abnormal sounds and murmurs indicative of cardiac pathology, the application of electronic methods remains seldom used in everyday clinical practice.
Hassani Kamran, Navidbakhsh Mahdi, Doyle John D, Sarbandi Reza, Torabiyan Hassan   +4 more
doaj   +1 more source

A statistical algorithm for fast estimation of heart rate and localization of cardiac sounds in phonocardiograms recorded by electronic stethoscopes

, 2021
V. N. Oliynik
openalex   +2 more sources

High-Resolution Phonocardiogram Parameters

, 2020
The article describes the results of studying and analyzing phonocardiograms (PCGs) obtained during a physiological experiment with Blu-ray standard equipment. It provides the findings of a spectral and spectral-time analysis for signals with a sampling frequency of 10, 44.1 and 192 kHz.
Zemlyakov, Ivan, Zhdanov, Dmitry, Kosteley, Yana, Golobokova, Evgeniya, Dikman, Ekaterina Yurievna   +4 more
openaire   +1 more source

Classification of phonocardiograms using residual convolutional neural network and MLP

, 2022
Guohui Peng, Haitao Zou, Jin Wang"
openalex   +1 more source

Learning Time-Frequency Representations of Phonocardiogram for Murmur Detection

, 2022
Jae-Man Shin, Seong-Yong Park, Hyun‐Seok Kim, Woo‐Young Seo, Sung-Hoon Kim"   +4 more
openalex   +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

Development of a bedrest muscle stress apparatus [PDF]

, 1979
In attempting further to define the deleterious effects of spaceflight on the human body, measurement systems and techniques were devised to determine the loss of skeletal muscle strength and tone as a result of spaceflight exposure.
Booher, C. R., Hooper, S. L., Setzer, D. N.   +2 more
core   +1 more source