China
Africa
Explore chapters and articles related to this topic
Simultaneous Evaluation of Children Epileptic Encephalopathies with Long-Term EEG via Space-Time Dynamic Entropies
Published in Ricardo A. Ramirez-Mendoza, Jorge de J. Lozoya-Santos, Ricardo Zavala-Yoé, Luz María Alonso-Valerdi, Ruben Morales-Menendez, Belinda Carrión, Pedro Ponce Cruz, Hugo G. Gonzalez-Hernandez, Biometry, 2022
Ricardo Zavala-Yoé, Ricardo A. Ramirez-Mendoza
Epileptic seizures are expressions of epilepsy. Seizures are violent discharges of electrical activity in the brain that temporarily affect how it works. Here, violence means sudden interruption in the normal functioning of the brain. They can manifest as a “smooth” loss of consciousness (as in absences seizures) or, conversely, in the case of falls.
Neural Networks for Medical Image Computing
Published in K. Gayathri Devi, Kishore Balasubramanian, Le Anh Ngoc, Machine Learning and Deep Learning Techniques for Medical Science, 2022
V.A. Pravina, P.K. Poonguzhali, A Kishore Kumar
Epilepsy is a neurological disorder in which seizures occur in the nerve cell of brain. Electroencephalography (EEG) is more helpful in detecting epilepsy as it measures temporal and spatial information in the brain. Reinforcement learning allows direct optimizations of deep-brain stimulation based on the flow of ions in the brain that causes spikes. It reduces the number of stimulation and thereby minimizes the cell damage.
Application of Machine-Learning Techniques in Electroencephalography Signals
Published in Mridu Sahu, G. R. Sinha, Brain and Behavior Computing, 2021
Arun Sasidharan, Kusumika Krori Dutta
Epilepsy is the fourth most common neurological disorder characterized by an abrupt and recurrent dysfunction of the brain called a “seizure,” which has a worldwide prevalence of around 65 million [20]. Every year, about 48 out of 100,000 people are estimated to develop epilepsy, globally. It can occur in a wide range of age groups (from very young to very old), irrespective of ethnicity or geographical location. In the U.S. alone, about 1 in 100 people is believed to have had at least a single unprovoked seizure or been diagnosed with epilepsy. Figure 3.11 shows worldwide epilepsy cases [21].
Automated human mind reading using EEG signals for seizure detection
Published in Journal of Medical Engineering & Technology, 2020
Virender Ranga, Shivam Gupta, Jyoti Meena, Priyansh Agrawal
Epilepsy is one of the most occurring neurological disease globally. It is common in early life during childhood. This disease is one of the oldest recognised conditions back to 4000 BC with records. Today it is affecting around 50 million people of all ages. It is a chronic non-communicable disease involving brain [1,2]. The trait of this disease is recurrent seizures which are small intervals of involuntary movement or jerking that can involve the entire body or the partial body. Sometimes seizure results in the loss of consciousness or dysfunction of bladder [3]. The main reasons for epileptic seizures are electrical imbalance & loss of oxygen to brain, or it can be due to some severe head injury, brain stroke and even can be due to genetic heredity [4]. Usually the site of such imbalance can be different parts of the brain. Epileptic seizures can vary in frequency from nominal to several per day. Also along with seizures epilepsy tends to have other psychological conditions, like anxiety and depression too. But seizures can be controlled, around 70% of the people could become seizure free with appropriate medical treatment [3]. But only the main step is timely diagnosis and choice of drugs used for curing.
Epilepsy detection from EEG signals: a review
Published in Journal of Medical Engineering & Technology, 2018
A seizure can be realised as an infinitesimal muscle jerk to severe, which is a generalised and prolonged convulsion. Seizures which occur recurrently and suddenly are hazardous and lead to serious states. In clinical communication, if two or more motiveless seizures occur, it is to suspect that the cause might be epilepsy. If the seizure is owing to epilepsy, then the detection of epilepsy at its onset is very useful for initial treatment with anti-epileptics for improving the quality of life and care of epileptic persons. The epileptic seizures generally begin and end unexpectedly without any external intrusion. If Seizures are unpredicted; it generally causes physical risks due to accidents, such as falling down and head injuries. The most common effective diagnostic method for epilepsy detection is based on the analysis of EEG signals. EEG analyses not only distinguish epileptic data from normal data, and also differentiate epileptic seizure or ictal from pre-ictal or inter-ictal data. The skilled neurophysiologists visually examine the EEG signals and detect epilepsy. However, epilepsy can be detected from a long recording of EEG data, which is difficult and also human expert centred. Therefore, in this paper, an attempt has been made to review the detection of an epileptic seizure. More than 100 research papers have been discussed to discern the techniques for detecting the epileptic seizure.
Minimizing regain awareness time of the epileptic patient using a well-known phone ringtone
Published in Cogent Engineering, 2023
Epilepsy is a disorder of the central nervous system, which regulates the behaviors of the brain by sending and receiving data from the central nervous system (Smithson & Walker, 2012). Electrical activity disturbances in the central nervous system induce seizures. Epilepsy can have an effect on both voluntary and involuntary nervous system functions (Miller & Goodkin, 2014). Epilepsy is a chronic neurological disorder marked by recurrent, uncontrollable seizures. A seizure is a sudden burst of electrical activity in the brain. It affects 65 million individuals worldwide (Razavi & Fisher, 2017).