Results 111 to 120 of about 563,340 (267)

Deciphering Heartbeat Signatures: A Vision Transformer Approach to Explainable Atrial Fibrillation Detection from ECG Signals [PDF]

open access: yesarXiv
Remote patient monitoring based on wearable single-lead electrocardiogram (ECG) devices has significant potential for enabling the early detection of heart disease, especially in combination with artificial intelligence (AI) approaches for automated heart disease detection. There have been prior studies applying AI approaches based on deep learning for
arxiv  

Modelling a Parasystolic Rhythm in a Heart-Transplant Patient [PDF]

open access: yesMed. Biol. Eng. Comput. 37, 492, (1999), 1999
A parasystole from a heart-transplant patient is analysed using a beat-to-beat RR interval time series obtained from an electrocardiogram (ECG). The dysrhythmia, resulting from the co-existence of two pacemakers, the sinus node and an ectopic focus, presents distinctive regular patterns, with transitions from one pattern to another occurring abruptly ...
arxiv  

Studying ECG signals using nonlinear oscillators and Genetic Algorithm [PDF]

open access: yesarXiv
Cardiovascular diseases are the leading cause of death and disability in the world and thus their detection is extremely important as early as possible so that it can be prognosed and managed appropriately. Hence, electrophysiological models dealing with cardiac conduction are critically important in the field of interdisciplinary sciences. The primary
arxiv  

Artificial intelligence–enabled mobile electrocardiograms for event prediction in paroxysmal atrial fibrillation

open access: yesCardiovascular Digital Health Journal, 2023
Background: Paroxysmal atrial fibrillation (AF) often eludes early diagnosis, resulting in significant morbidity and mortality. Artificial intelligence (AI) has been used to predict AF from sinus rhythm electrocardiograms (ECGs), but AF prediction using ...
Ananditha Raghunath, MS   +6 more
doaj  

Exponential distribution of long heart beat intervals during atrial fibrillation and their relevance for white noise behaviour in power spectrum [PDF]

open access: yesarXiv, 2006
The statistical properties of heart beat intervals of 130 long-term surface electrocardiogram recordings during atrial fibrillation (AF) are investigated. We find that the distribution of interbeat intervals exhibits a characteristic exponential tail, which is absent during sinus rhythm, as tested in a corresponding control study with 72 healthy ...
arxiv  

Non extensive statistic of Tsallis in the heartbeat of healthy humans [PDF]

open access: yesRev. Mex. Fis. 57(4) (2011) 362-367, 2007
It is studied the MIT-BIH Normal Sinus Rhythm Database using a statistical technique of analysis, that is based on the Wavelet and Hilbert Transforms. With that technique, it was previously found, that there is a collective and intrinsic dynamical behavior up to a scale of 64 heartbeats. Now it is shown, that using the Biorthogonal wavelet bior3.1 such
arxiv  

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