Small animal biomagnetism applications [PDF]
The functioning of the human brain, nervous system and heart is based on the conduction of electrical signals. These electrical signals also create magnetic fields which extend outside the human body. Highly sensitive magnetometers, such as superconducting quantum interference device magnetometers or optically pumped magnetometers, placed outside the ...
arxiv +1 more source
Microscopic Tridomain Model of Electrical Activity in the Heart with Dynamical Gap Junctions. Part 1 -- Modeling and Well-Posedness [PDF]
We present a novel microscopic tridomain model describing the electrical activity in cardiac tissue with dynamical gap junctions. The microscopic tridomain system consists of three PDEs modeling the tissue electrical conduction in the intra-and extra-cellular domains, supplemented by a nonlinear ODE system for the dynamics of the ion channels and the ...
arxiv +1 more source
Monitoring of the heart movements using a FMCW radar and correlation with an ECG [PDF]
Monitoring the activity of the heart is important for diagnosing and preventing cardiovascular diseases. The electrocardiogram (ECG) is the gold standard for diagnosing such diseases. It monitors the heart's electrical activity, and while this is highly correlated with the cardiac mechanical activity, it does not provide all the information.
arxiv +1 more source
A fast computational model for the electrophysiology of the whole human heart [PDF]
In this study we present a novel computational model for unprecedented simulations of the whole cardiac electrophysiology. According to the heterogeneous electrophysiologic properties of the heart, the whole cardiac geometry is decomposed into a set of coupled conductive media having different topology and electrical conductivities: (i) a network of ...
arxiv +1 more source
Shaping bursting by electrical coupling and noise [PDF]
Gap-junctional coupling is an important way of communication between neurons and other excitable cells. Strong electrical coupling synchronizes activity across cell ensembles. Surprisingly, in the presence of noise synchronous oscillations generated by an electrically coupled network may differ qualitatively from the oscillations produced by uncoupled ...
arxiv +1 more source
Bayesian at heart: Towards autonomic outflow estimation via generative state-space modelling of heart rate dynamics [PDF]
Recent research is revealing how cognitive processes are supported by a complex interplay between the brain and the rest of the body, which can be investigated by the analysis of physiological features such as breathing rhythms, heart rate, and skin conductance.
arxiv
Fast and Reliable Reduced-Order Models for Cardiac Electrophysiology [PDF]
Mathematical models of the human heart are increasingly playing a vital role in understanding the working mechanisms of the heart, both under healthy functioning and during disease. The aim is to aid medical practitioners diagnose and treat the many ailments affecting the heart.
arxiv
BIOWISH: Biometric Recognition using Wearable Inertial Sensors detecting Heart Activity [PDF]
Wearable devices are increasingly used, thanks to the wide set of applications that can be deployed exploiting their ability to monitor physical activity and health-related parameters. Their usage has been recently proposed to perform biometric recognition, leveraging on the uniqueness of the recorded traits to generate discriminative identifiers. Most
arxiv
Generation and Detection of Spin Currents in Semiconductor Nanostructures with Strong Spin-Orbit Interaction [PDF]
Storing, transmitting, and manipulating information using the electron spin resides at the heart of spintronics. Fundamental for future spintronics applications is the ability to control spin currents in solid state systems. Among the different platforms proposed so far, semiconductors with strong spin-orbit interaction are especially attractive as ...
arxiv +1 more source
Understanding of Normal and Abnormal Hearts by Phase Space Analysis and Convolutional Neural Networks [PDF]
Cardiac diseases are one of the leading mortality factors in modern, industrialized societies, which cause high expenses in public health systems. Due to high costs, developing analytical methods to improve cardiac diagnostics is essential. The heart's electric activity was first modeled using a set of nonlinear differential equations.
arxiv