Title : Impact of neuron with two dendrites in heart behavior
Abstract:
Neurons are the fundamental units of the brain and the nervous system. The variable structure model of neurons is a system of differential equations with various parameters. By optimizing these parameters, we can create a unique model that describes the dynamic behavior of a single neuron. We have also introduced a neural network based on neurons with multiple dendrites, employing an activation function with variable structure. However, prior research has not explored the impact of dendrite positions on the transmission of information. The electrocardiogram (ECG) is a non-stationary physiological signal that represents a recording of the electrical activity of the heart. After decades, many artificial neural networks have been proposed to develop tools that may lead to a better understanding of the behavior of the heart. The ECG has many applications in various fields, namely medicine, internet of things, cryptography, wearable sensors, biometric recognition and more. In our approach, we use a neuron with two dendrites inspired from Bouallegue neural networks [1 and 2]. We conclude that neurons with two dendrites can be utilized as a novel tool for modeling, identifying, and generating dynamic heart behavior. The results show that this work has the potential to have a significant impact on human welfare and could contribute to the care of heart diseases.
Keywords: Variable Structure Model of Neuron (VSMN), Neural networks, neuron, dendrites, heart behavior, (ECG) Electrocardiogram.
Audience Take Away Notes:
- In this paper, we proposed a new theoretical approach to generate an artificial ECG signal using a set of neurons two dendrites, we have discovered model of dynamic heart behavior. The result show that this work could have a strong impact on the welfare of humanity and can lead to a care heart disease.
- Activation functions have a large impact on the performance of artificial neural networks (ANNs). The design of of ANNs simulates the structure of neural networks of the brain’s central nervous system to a certain extent. An ANNs consists of a number of connected neurons, each act as a parallel distributed processor, which can perform large-scale computations for data processing and classification [12]. Our VSMNs can also be combined to create dendrite based neural networks which generated promising results in different studies [1 and 2]. In this work, we can present the behavior of heart thought the use of our VSMN.
- Understanding the intricate interplay between neurons and the heart is essential
