A fully integrated 8-channel closed-loop neural-prosthetic CMOS SoC for real-time epileptic seizure control
An 8-channel closed-loop neural-prosthetic SoC is presented for real-time intracranial EEG
(iEEG) acquisition, seizure detection, and electrical stimulation in order to suppress epileptic …
(iEEG) acquisition, seizure detection, and electrical stimulation in order to suppress epileptic …
Nonconvulsive epileptic seizure detection in scalp EEG using multiway data analysis
Nonconvulsive status epilepticus is a condition where the patient is exposed to abnormally
prolonged epileptic seizures without evident physical symptoms. Since these continuous …
prolonged epileptic seizures without evident physical symptoms. Since these continuous …
An ultra-low power smart headband for real-time epileptic seizure detection
In this paper, the design of a smart headband for epileptic seizure detection is presented.
The proposed headband consists of four key components: 1) an analog front-end circuitry; 2) …
The proposed headband consists of four key components: 1) an analog front-end circuitry; 2) …
[HTML][HTML] AI-Based Electroencephalogram Analysis in Rodent Models of Epilepsy: A Systematic Review
About 70 million people globally have been diagnosed with epilepsy.
Electroencephalogram (EEG) devices are the primary method for identifying and monitoring …
Electroencephalogram (EEG) devices are the primary method for identifying and monitoring …
A review on automated detection of non-convulsive seizures using eeg
Seizures are mainly categorized as convulsive seizures and non-convulsive seizures.
Diagnosis of convulsive seizures is easy due to its evident clinical manifestations. While …
Diagnosis of convulsive seizures is easy due to its evident clinical manifestations. While …
Early seizure detection by applying frequency-based algorithm derived from the principal component analysis
J Lee, J Park, S Yang, H Kim, YS Choi… - Frontiers in …, 2017 - frontiersin.org
The use of automatic electrical stimulation in response to early seizure detection has been
introduced as a new treatment for intractable epilepsy. For the effective application of this …
introduced as a new treatment for intractable epilepsy. For the effective application of this …
The implementation of a low-power biomedical signal processor for real-time epileptic seizure detection on absence animal models
Epilepsy is one of the most common neurological disorders, with a worldwide prevalence of
approximately 1%. A considerable portion of epilepsy patients cannot be treated sufficiently …
approximately 1%. A considerable portion of epilepsy patients cannot be treated sufficiently …
An approach to absence epileptic seizures detection using approximate entropy
Epilepsy is one of the most common chronic neurological diseases and the most common
neurological chronic disease of childhood. The electroencephalogram (EEG) signal …
neurological chronic disease of childhood. The electroencephalogram (EEG) signal …
A hardware implementation of real-time epileptic seizure detector on FPGA
A considerable portion of epilepsy cannot be well treated by today's available therapies.
Brain stimulation with closed-loop seizure control was recently proposed. In our previous …
Brain stimulation with closed-loop seizure control was recently proposed. In our previous …
A smart headband for epileptic seizure detection
Epilepsy is a common neural disorder disease; about 1.7% of the global population has
epilepsy. Most patients take antiepileptic drugs to reduce their seizures. Among them, nearly …
epilepsy. Most patients take antiepileptic drugs to reduce their seizures. Among them, nearly …