Results 41 to 50 of about 2,160 (180)

Quantitative Confounder Analysis of Electrocardiogram Signals in Cardiac Magnetic Resonance at 1.5, 3 and 7 T—Assessing Standardized Electrode Positions and Sequence Types—Towards Quality Assurance

Journal of Magnetic Resonance Imaging, Volume 63, Issue 4, Page 1140-1154, April 2026.
ABSTRACT Background The electrocardiogram (ECG) used for gating in cardiac MRI may be compromised by multiple confounders inside the scanner bore. Purpose To quantify the influence of magnetic field strengths (1.5 T/3 T/7 T), standardized electrode positions, and imaging sequences on ECG signals used for gating. Study Type Prospective.
Richard Hickstein, Stephanie Wiesemann, Darian Viezzer, Denise Kleindienst, Teodora Chitiboi, Bogdan Andrei Gheorghita, Jens Wetzl, Thomas Hadler, Sebastian Dietrich, Sebastian Schmitter, Jeanette Schulz‐Menger   +10 more
wiley   +1 more source

Application of Acoustic Cardiography in Assessment of Cardiac Function in Horses with Atrial Fibrillation Before and After Cardioversion

Animals
Left atrial mechanical dysfunction is common in horses following the treatment of atrial fibrillation (AF). This study aimed to evaluate the use of an acoustic cardiography monitor (Audicor®) in quantifying cardiac mechanical and hemodynamic function in ...
Mélodie J. Schneider, Isabelle L. Piotrowski, Hannah K. Junge, Glenn van Steenkiste, Ingrid Vernemmen, Gunther van Loon, Colin C. Schwarzwald   +6 more
doaj   +1 more source

Heart Sound Classification Using Wavelet Analysis Approaches and Ensemble of Deep Learning Models

Applied Sciences, 2023
Analyzing the condition and function of the heart is very important because cardiovascular diseases (CVDs) are responsible for high mortality rates worldwide and can lead to strokes and heart attacks; thus, early diagnosis and treatment are important ...
Jin-A Lee, Keun-Chang Kwak
doaj   +1 more source

Transforming healthcare with large language models: Current applications, challenges, and future directions—a literature review

Journal of Intelligent Medicine, Volume 3, Issue 1, Page 8-25, March 2026.
Abstract AI‐based large language models (LLMs) have gradually made their way into various fields, transforming industries and changing the way we solve problems. LLMs have great potential in healthcare, where they can share the burden of data management, retrieval, and decision‐making.
Muhammad Umar, Vanessa Ali, Laiba Shamim, Imshaal Musharaf, Rabia Hafsa, Muhammad Umar Ahsan, Osama Ahmad, Lamea Bint Sabhan, Muhammad Saeed, Somaiya Ahmed, Sana Iftikhar, Noor Ul Ain   +11 more
wiley   +1 more source

Synchronous Acquisition and Processing of Electro- and Phono-Cardiogram Signals for Accurate Systolic Times’ Measurement in Heart Disease Diagnosis and Monitoring

Sensors
Cardiovascular diseases remain one of the leading causes of mortality worldwide, highlighting the importance of effective monitoring and early diagnosis.
Roberto De Fazio, Ilaria Cascella, Şule Esma Yalçınkaya, Massimo De Vittorio, Luigi Patrono, Ramiro Velazquez, Paolo Visconti   +6 more
doaj   +1 more source

Time-Frequency Analysis, Denoising, Compression, Segmentation, and Classification of PCG Signals

IEEE Access, 2020
Phonocardigraphy (PCG) is the graphical representation of heart sounds. The PCG signal contains useful information about the functionality and the condition of the heart. It also provides an early indication of potential cardiac abnormalities. Extracting
Tanzil Hoque Chowdhury, Khem Narayan Poudel, Yating Hu   +2 more
doaj   +1 more source

AI‐Based Non‐Invasive Continuous Blood Pressure Monitoring and Estimation System

Advanced Sensor Research, Volume 5, Issue 1, January 2026.
An AI‐based biosensor pipeline integrates Apple Watch electrocardiogram (ECG), a custom digital stethoscope, and a blood‐pressure cuff to generate and validate 24‐hour cuffless blood‐pressure waveform prediction. Using a wavelet‐preprocessed ECG and a long short‐term memory model trained on MIMIC‐II and Autonomic Aging datasets, the system estimates ...
Barrett L. Burgess, Aruzhan Suleimenova, Jaemin Choi, Chukwudum J. Maduako, Amanat H. Emon, Ellie Skaarer, James Hovanec, Jurn‐Gyu Park, Taeil Kim   +8 more
wiley   +1 more source

Rivero-Carvallo Sign in Bioprosthetic Tricuspid Valve Stenosis

JACC: Case Reports, 2023
In a case with bioprosthetic tricuspid stenosis, simultaneous phonocardiogram and Doppler recordings revealed that the louder diastolic rumble in inspiration (Rivero-Carvallo sign) is related to increased tricuspid gradient caused by less prominent ...
Kazuhito Hirata, MD, Nobuhito Yagi, MD, Minoru Wake, MD   +2 more
doaj   +1 more source

Augmented Phonocardiogram Acquisition and Analysis [PDF]

, 2011
Heart auscultation (the interpretation of heart sounds by a physician) is a widely used screening method for heart disease. It is well documented, however, that with the exception of expert cardiologists, physicians' auscultation skills are limited. It has also been shown that standard training methods do little to improve these skills.
Nancy E. Reed, Todd R. Reed
openaire   +1 more source

Internet of Medical Things‐Driven Deep Learning Approach for Automated Heart Sound Classification

IET Biometrics, Volume 2026, Issue 1, 2026.
The Internet of Medical Things (IoMT) has emerged as a transformative force in healthcare, enabling the development of innovative and noninvasive diagnostic tools that leverage connected technologies. This research focuses on the application of IoMT in conjunction with deep learning techniques to detect and classify heart diseases through the analysis ...
Muhammad Sajid, Ghulam Gilanie, Syeda Naila Batool, Salil Bharany, Rania M. Ghoniem, Amna Ikram, Shefali Gupta, Belayneh Matebie Taye, Junlin Hu   +8 more
wiley   +1 more source