Results 91 to 100 of about 1,500 (190)

Non-Invasive Follow Up of Evolution of Myocarditis With Magnetocardiography

open access: yes, 2007
Introduction Especially for the prognosis of the patient it is important to monitor and follow-up the evolution of myocarditis with non-invasive yet fast and reproducible methods.
Agrawal Czerski Goedde   +4 more
core  

Clinical magnetocardiography. 10 years experience at the Catholic University

open access: yes, 1991
Since the introduction, in 1982, of a Biomagnetic facility in the clinical environment, efforts were concentrated to investigate whether magnetocardiography could really provide new information of potential diagnostic use, even avoiding electromagnetic ...
Fenici, Riccardo
core  

Identity information based on human magnetocardiography signals

open access: yes
We have developed an individual identification system based on magnetocardiography (MCG) signals captured using optically pumped magnetometers (OPMs). Our system utilizes pattern recognition to analyze the signals obtained at different positions on the ...
Zhang, Pengju   +3 more
core   +1 more source

Multichannel magnetocardiography in unshielded hospital laboratory

open access: yes, 2002
Multichannel Magnetocardiography (MMCG), a contactless method for non-invasive imaging of cardiac electrophysiology, was so far possible in shielded rooms only. We tested a novel MMCG system in our unshielded EP cathlab.
Brisinda, Donatella   +2 more
core  

Magnetocardiography: current status and perspectives. Part I: Physical principles and instrumentation

open access: yes, 2002
Magnetocardiography (MCG) is a non-invasive and risk-free technique allowing body surface recording of the magnetic fields generated by the electrical activity of the heart.
Brisinda, Donatella   +11 more
core  

Preprocessing and Denoising Techniques for Electrocardiography and Magnetocardiography: A Review

open access: yes
This review systematically analyzes the latest advancements in preprocessing techniques for Electrocardiography (ECG) and Magnetocardiography (MCG) signals over the past decade.
Yifan Jia   +6 more
core   +1 more source

Prediction of post-PCI angina risk using machine learning-based magnetocardiography model. [PDF]

open access: yesFront Cardiovasc Med
Wang W   +8 more
europepmc   +1 more source

Self-supervised representation learning reveals explainable physiological structure in high-dimensional magnetocardiography. [PDF]

open access: yesNPJ Digit Med
Kranz DD   +7 more
europepmc   +1 more source

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