Digital health in primordial and primary stroke prevention: a systematic review
The stroke burden continues to grow across the globe, disproportionally affecting
developing countries. This burden cannot be effectively halted and reversed without …
developing countries. This burden cannot be effectively halted and reversed without …
Spiking neural networks: background, recent development and the NeuCube architecture
This paper reviews recent developments in the still-off-the-mainstream information and data
processing area of spiking neural networks (SNN)—the third generation of artificial neural …
processing area of spiking neural networks (SNN)—the third generation of artificial neural …
Evolving spatio-temporal data machines based on the NeuCube neuromorphic framework: Design methodology and selected applications
The paper describes a new type of evolving connectionist systems (ECOS) called evolving
spatio-temporal data machines based on neuromorphic, brain-like information processing …
spatio-temporal data machines based on neuromorphic, brain-like information processing …
Stroke lesion segmentation and deep learning: a comprehensive review
Stroke is a medical condition that affects around 15 million people annually. Patients and
their families can face severe financial and emotional challenges as it can cause motor …
their families can face severe financial and emotional challenges as it can cause motor …
Personalized spiking neural network models of clinical and environmental factors to predict stroke
M Doborjeh, Z Doborjeh, A Merkin… - Cognitive …, 2022 - Springer
The high incidence of stroke occurrence necessitates the understanding of its causes and
possible ways for early prediction and prevention. In this respect, statistical methods offer the …
possible ways for early prediction and prevention. In this respect, statistical methods offer the …
Analysis of connectivity in NeuCube spiking neural network models trained on EEG data for the understanding of functional changes in the brain: A case study on …
The paper presents a methodology for the analysis of functional changes in brain activity
across different conditions and different groups of subjects. This analysis is based on the …
across different conditions and different groups of subjects. This analysis is based on the …
[PDF][PDF] Evolving spiking neural networks methods for classification problem: a case study in flood events risk assessment
Analysing environmental events such as predicting the risk of flood is considered as a
challenging task due to the dynamic behaviour of the data. One way to correctly predict the …
challenging task due to the dynamic behaviour of the data. One way to correctly predict the …
A spiking neural networks model with fuzzy-weighted K-nearest neighbour classifier for real-world flood risk assessment
Inspired by the brain working mechanism, the spiking neural networks has proven the
capability of revealing significant association between different variables spike behavior …
capability of revealing significant association between different variables spike behavior …
Ischemic stroke prediction by exploring sleep related features
Ischemic stroke is one of the typical chronic diseases caused by the degeneration of the
neural system, which usually leads to great damages to human beings and reduces life …
neural system, which usually leads to great damages to human beings and reduces life …
Empowering self-management through m-health applications
The advancement in mobile technology has led towards a new frontier of medical
intervention that never been thought possible before. Through the development of MedsBox …
intervention that never been thought possible before. Through the development of MedsBox …