PURPOSE Detection of, and alarming for epileptic seizures is increasingly demanded and researched. Our previous review article provided an overview of non-invasive, non-EEG (electro-encephalography) body signals that can be measured, along with corresponding methods, state of the art research, and commercially available systems. Three years later, many more studies and devices have emerged. Mor...

The most common technology for seizure detection is with electroencephalography (EEG), which has low spatial resolution and minimal depth discrimination. Optical techniques using near-infrared (NIR) light have been used to improve upon EEG technology and previous research has suggested that optical changes, specifically changes in near-infrared optical scattering, may precede EEG seizure onset ...

Electrocardiography has added value to automatically detect seizures in temporal lobe epilepsy (TLE) patients. The wired hospital system is not suited for a long-term seizure detection system at home. To address this need, the performance of two wearable devices, based on electrocardiography (ECG) and photoplethysmography (PPG), are compared with hospital ECG using an existing seizure detection...

The ECG has been much neglected in automatic seizure detection in the newborn. Changes in heart rate and ECG rhythm are often found in animal and adult patients with seizure. However, little is known about heart rate variability (HRV) changes in human neonate during seizure. Results of ongoing time-frequency research are presented here with the aim to compare the performance of various time-fre...

The electroencephalogram (EEG) is an invaluable measurement for the purpose of assessing brain activities. The detection of epileptic seizures based on EEG signal is very useful in diagnostics. In this paper, we present a new method for discrimination between seizure and seizure-free EEG signals. The proposed method is based on empirical mode decomposition (EMD) process. We investigated that th...

Accurate detection of seizure onset as well as identification of neuronal regions critically involved in initiating and propagating a seizure remains an important area of research. Understanding the dynamics of neural processes underlying different stages of a seizure can help in devising novel methods of seizure detection, intervention and treatment. In this paper we analyze linear neuronal dy...

In this paper, we present low-power circuit techniques for implementing a closed-loop neurostimulator (CLNS) as an alternative treatment for medically refractory epilepsy. The proposed circuit has low-power dissipation with better detection sensitivity compared to the recently proposed circuit techniques for epileptic seizure detector. We demonstrate low-power circuit techniques for implementat...

Electroencephalogram (EEG) is the record of the brain electrical activity and it contains valuable information related to the different physiological and pathological states of the brain. Epilepsy is known to be the most prevalent neurological disorder in humans and seizure discharge is the main characteristics of the epilepsy. EEG is an important clinical tool for the diagnosis and monitoring ...