Results 11 to 20 of about 154 (25)

Inference of ventricular activation properties from non-invasive electrocardiography [PDF]

, 2020
The realisation of precision cardiology requires novel techniques for the non-invasive characterisation of individual patients' cardiac function to inform therapeutic and diagnostic decision-making. The electrocardiogram (ECG) is the most widely used clinical tool for cardiac diagnosis.
arxiv   +1 more source

Electrocardiography Separation of Mother and Baby [PDF]

arXiv, 2014
Extraction of Electrocardiography (ECG or EKG) signals of mother and baby is a challenging task, because one single device is used and it receives a mixture of multiple heart beats. In this paper, we would like to design a filter to separate the signals from each other.
arxiv  

Space-time shape uncertainties in the forward and inverse problem of electrocardiography [PDF]

arXiv, 2020
In electrocardiography, the "classic" inverse problem is the reconstruction of electric potentials at a surface enclosing the heart from remote recordings at the body surface and an accurate description of the anatomy. The latter being affected by noise and obtained with limited resolution due to clinical constraints, a possibly large uncertainty may ...
arxiv  

The Modeling and Quantification of Rhythmic to Non-rhythmic Phenomenon in Electrocardiography during Anesthesia [PDF]

arXiv, 2015
Variations of instantaneous heart rate appears regularly oscillatory in deeper levels of anesthesia and less regular in lighter levels of anesthesia. It is impossible to observe this "rhythmic-to-non-rhythmic" phenomenon from raw electrocardiography waveform in current standard anesthesia monitors. To explore the possible clinical value, I proposed the
arxiv  

Edge computing in 5G cellular networks for real-time analysis of electrocardiography recorded with wearable textile sensors [PDF]

arXiv, 2021
Fifth-generation (5G) cellular networks promise higher data rates, lower latency, and large numbers of interconnected devices. Thereby, 5G will provide important steps towards unlocking the full potential of the Internet of Things (IoT). In this work, we propose a lightweight IoT platform for continuous vital sign analysis. Electrocardiography (ECG) is
arxiv  

Cryptanalyzing an image encryption algorithm based on autoblocking and electrocardiography [PDF]

IEEE MultiMedia, 2018, 2017
This paper analyzes the security of an image encryption algorithm proposed by Ye and Huang [\textit{IEEE MultiMedia}, vol. 23, pp. 64-71, 2016]. The Ye-Huang algorithm uses electrocardiography (ECG) signals to generate the initial key for a chaotic system and applies an autoblocking method to divide a plain image into blocks of certain sizes suitable ...
arxiv  

MINA: Multilevel Knowledge-Guided Attention for Modeling Electrocardiography Signals [PDF]

arXiv, 2019
Electrocardiography (ECG) signals are commonly used to diagnose various cardiac abnormalities. Recently, deep learning models showed initial success on modeling ECG data, however they are mostly black-box, thus lack interpretability needed for clinical usage.
arxiv  

Multi-task Neural Networks for Pain Intensity Estimation using Electrocardiogram and Demographic Factors [PDF]

Information and Communication Technologies for Ageing Well and e-Health; 2023; 324--337
Pain is a complex phenomenon which is manifested and expressed by patients in various forms. The immediate and objective recognition of it is a great of importance in order to attain a reliable and unbiased healthcare system. In this work, we elaborate electrocardiography signals revealing the existence of variations in pain perception among different ...
arxiv   +1 more source

Amplitude Modulation Effects in Cardiac Signals [PDF]

arXiv, 2010
A subject's heart beat can be nearly invisible in a spectrum, when that spectrum is generated using conventional methods of Fourier analysis. The phenomenon has been observed in records of both electrocardiography type and seismocardiography type. The mechanisms of nonlinear physics responsible for these complexities involve the phenomenon of amplitude
arxiv  

Implementation of Neural Network and feature extraction to classify ECG signals [PDF]

arXiv, 2018
This paper presents a suitable and efficient implementation of a feature extraction algorithm (Pan Tompkins algorithm) on electrocardiography (ECG) signals, for detection and classification of four cardiac diseases: Sleep Apnea, Arrhythmia, Supraventricular Arrhythmia and Long Term Atrial Fibrillation (AF) and differentiating them from the normal heart
arxiv