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Machine Learning Methods for Electroencephalogram (EEG) Big Data in the Context of MIOT Smart Systems
Published in Nishu Gupta, Srinivas Kiran Gottapu, Rakesh Nayak, Anil Kumar Gupta, Mohammad Derawi, Jayden Khakurel, Human-Machine Interaction and IoT Applications for a Smarter World, 2023
Aileni Raluca Maria, Pasca Sever
EEG diagnosis is useful in the study of disease pathology: Parkinson's disease is a progressive neurological disorder characterized by limb tremors, muscle rigidity, and bradykinesia. EEG can be used for early-stage monitoring of Parkinson's disease to study abnormalities that may occur in the brain and to determine the evolution of the disease [5, 6].Alzheimer's disease is a disease that involves progressive nerve degeneration due to a diminished number of neurons, brain atrophy, and the presence of “senile plaques,” manifesting through memory loss and disorientation in time and space. EEG can be used for early diagnosis [7, 8] and the dynamics of the disease and abnormalities that occur in the brain [9, 10] compared to other neurological disorders [11].Epilepsy is a chronic disease of the brain that manifests through partial (focal) or generalized seizures, due to spontaneous electrical discharges that occur in the brain.
Automated Epilepsy Seizure Detection from EEG Signals Using Deep CNN Model
Published in Rohit Raja, Sandeep Kumar, Shilpa Rani, K. Ramya Laxmi, Artificial Intelligence and Machine Learning in 2D/3D Medical Image Processing, 2020
Saroj Kumar Pandey, Rekh Ram Janghel, Archana Verma, Kshitiz Varma, Pankaj Kumar Mishra
Roughly 50 million people are suffering from epilepsy globally, according to the study by the WHO (World Health Organization) in 2017 [1]. Approximately 10% of people are affected with epilepsy every year [2]. Epilepsy is a neurological disorder wherein there is an uncontrolled electrical discharge of neurons. Our whole brain is a biological neural network. The primary unit of the neurons system is the cell. Every neuron is made of two parts: axon and cell body dendrites. Neurons transmit signals throughout the body. Epilepsy can affect anyone at any stage of life. Epileptic patients experience a vast range of symptoms which largely depend on the portion and the area of the brain that is affected. Epileptic seizures are of potential harm since they are often responsible for physical, social consequences and psychological disorders, which may result in loss of consciousness, injury to the brain and, in certain cases, abrupt death [1].
Introduction
Published in Munsif Ali Jatoi, Nidal Kamel, Brain Source Localization Using EEG Signal Analysis, 2017
Among them, the most common is epilepsy; according to World Health Organization (WHO) statistics, around 50 million people in the world have been diagnosed as epileptic [45]. This figure amounts to 40%–70% per 0.1 million people in developing countries, which is quite an alarming situation. Furthermore, more than 80% of cases are reported in developing countries, with three-fourths of them not receiving proper treatment. Epilepsy accounts for 0.5% of the global burden on economy and growth. In some countries, such as India, the cost per case has been reported as US$344. However, the social effects on the life of an epileptic individual vary from one country to another. This includes the restriction on marrying, and on going to restaurants, theaters, clubs, and other public buildings. Epilepsy can be treated by antiepileptic drugs or by surgical therapy. Hence, brain source localization techniques are used to localize epileptogenic regions where the abnormal behavior of neurons can be observed during a seizure. In addition, the localization information can help clinicians to operate on brain tumors, as this is one of the reasons behind secondary (or symptomatic) epilepsy.
Performance Evaluation of Discrete Wavelet Transform, and Wavelet Packet Decomposition for Automated Focal and Generalized Epileptic Seizure Detection
Published in IETE Journal of Research, 2021
N. J. Sairamya, M. Joel Premkumar, S. Thomas George, M. S. P. Subathra
Epilepsy is a neurological disorder which is caused due to the arise (transpire) of recurrent seizures. It changes the natural electrical activity between the neurons in the brain, leading to some diverse clinical manifestations depending on the region of the brain being affected [1]. The distortion and anomalies in diverse lobes of the brain can be analysed by using the electroencephalogram (EEG) signal. EEG signal is a non-invasive method measuring the electrical activity of the brain [2]. The EEG is considered as a golden standard clinical tool for diagnosing epilepsy and it is a cost-effective method for long-term monitoring of the epileptic patients [3]. The long-term EEG signal measurement results with an enormous amount of data, leading to a careful inspection of EEG signals for signs of seizure activities. The visual inspection of a large amount of EEG data is a tedious and time-consuming process for the neurologists [4]. Hence, an automatic system to classify the seizure and non-seizure EEG signals is developed to assist the neurologist in the diagnoses process.
Molecular docking and QSAR analysis of a few Gama amino butyric acid aminotransferase inhibitors
Published in Egyptian Journal of Basic and Applied Sciences, 2018
Usman Abdulfatai, Adamu Uzairu, Sani Uba
Epilepsy is a well-documented neurological issue that influences roughly 65 to 75 million individuals around the world, of which 10.5 million are children [1,2] . However, the worldwide prevalence of epilepsy varies from 2.8 to 19.5 per 1000 of the general population [3]. Epilepsy is basically a chronic brain disorder characterized by recurrent derangement of the nervous system due to the sudden excessive disorderly discharge of neurons that result in almost instantaneous disturbance of sensation and loss of consciousness [4]. Seizures which is usually caused by epilepsy can cause a variety of symptoms depending on the areas of the brain affected. Symptoms may be the complete or partial loss of consciousness, loss of speech and uncontrollable motor behavior [5].
Participatory design of a robot for demonstrating an epileptic seizure
Published in Advanced Robotics, 2019
Igor Zubrycki, Izabela Szafarczyk, Grzegorz Granosik
Epilepsy is one of the most common neurological disorders, with an estimated 1% of the world population with some form of epilepsy [1], similar statistics apply in Poland (1% or 300–400 thousand people) [2]. Epilepsy is also the most common serious neurological disorder for children [3]. While epilepsy is a typically chronic spectrum of disorders with varying intensity, types of seizure and causes [4], in most cases, individuals can lead a normal life if properly treated. However, the skills and attitudes of those close to persons with epilepsy may have a large impact on their quality of life. In the case of childhood epilepsy teachers have such significant influence.