[HTML][HTML] An adaptive classification model for predicting epileptic seizures using cloud computing service architecture
HK Fatlawi, A Kiss - Applied Sciences, 2022 - mdpi.com
Data science techniques have increasing importance in medical data analysis, including
detecting and predicting the probability of contracting a disease. A large amount of medical …
detecting and predicting the probability of contracting a disease. A large amount of medical …
An automatic prediction of epileptic seizures using cloud computing and wireless sensor networks
Epilepsy is one of the most common neurological disorders which is characterized by the
spontaneous and unforeseeable occurrence of seizures. An automatic prediction of seizure …
spontaneous and unforeseeable occurrence of seizures. An automatic prediction of seizure …
Efficient approach to detect epileptic seizure using machine learning models for modern healthcare system
Epileptic seizure is one of the common neurological disorder now a day. But this is curable if
it can be detected in the early stage. So, this research become a necessity in the early …
it can be detected in the early stage. So, this research become a necessity in the early …
GA-SVM modeling of multiclass seizure detector in epilepsy analysis system using cloud computing
In this paper, we present an epilepsy analysis system, referred to as EAS, for long-term
electroencephalography (EEG) monitoring of patients with epilepsy. In our previous works, a …
electroencephalography (EEG) monitoring of patients with epilepsy. In our previous works, a …
Epileptic seizure detection and prediction using deep learning technique
Epilepsy is a brain condition that affects people of all ages and is a chronic, non-
communicable disease. Epilepsy affects around 50 million individuals worldwide, making it …
communicable disease. Epilepsy affects around 50 million individuals worldwide, making it …
[HTML][HTML] A novel epilepsy seizure prediction model using deep learning and classification
Epilepsy is a common neurological disease where the earlier disease prediction
significantly impacts those patients' lives. In this paper, a novel epilepsy seizure prediction …
significantly impacts those patients' lives. In this paper, a novel epilepsy seizure prediction …
A convolutional neural network based framework for classification of seizure types
Epileptic seizures are caused by a disturbance in the electrical activity of the brain and
classified as many different types of epileptic seizures based on the characteristics of EEG …
classified as many different types of epileptic seizures based on the characteristics of EEG …
A comparative study of deep learning algorithms for epileptic seizure classification
YP Singh, DK Lobiyal - 2022 international conference on …, 2022 - ieeexplore.ieee.org
Epilepsy is a potentially lethal and widespread common neurodegenerative illness that
affects millions of people worldwide. Electroencephalography (EEG) is a test used to …
affects millions of people worldwide. Electroencephalography (EEG) is a test used to …
AI-based epileptic seizure detection and prediction in internet of healthcare things: a systematic review
Epilepsy is a neurological condition affecting around 50 million individuals worldwide,
reported by the World Health Organization. This is identified as a hypersensitive disease by …
reported by the World Health Organization. This is identified as a hypersensitive disease by …
SMARTSeiz: deep learning with attention mechanism for accurate seizure recognition in iot healthcare devices
The Internet of Things (IoT) is capable of controlling the healthcare monitoring system for
remote-based patients. Epilepsy, a chronic brain syndrome characterized by recurrent …
remote-based patients. Epilepsy, a chronic brain syndrome characterized by recurrent …