A novel low-power-implantable epileptic seizure-onset detector
A novel implantable low-power integrated circuit is proposed for real-time epileptic seizure
detection. The presented chip is part of an epilepsy prosthesis device that triggers focal …
detection. The presented chip is part of an epilepsy prosthesis device that triggers focal …
Model-based seizure detection for intracranial EEG recordings
This paper presents a novel model-based patient-specific method for automatic detection of
seizures in the intracranial EEG recordings. The proposed method overcomes the …
seizures in the intracranial EEG recordings. The proposed method overcomes the …
Identification of CpG islands in DNA sequences using statistically optimal null filters
R Kakumani, O Ahmad, V Devabhaktuni - EURASIP Journal on …, 2012 - Springer
CpG dinucleotide clusters also referred to as CpG islands (CGIs) are usually located in the
promoter regions of genes in a deoxyribonucleic acid (DNA) sequence. CGIs play a crucial …
promoter regions of genes in a deoxyribonucleic acid (DNA) sequence. CGIs play a crucial …
Morphology-based automatic seizure detector for intracerebral EEG recordings
In this paper, a new seizure detection system aimed at assisting in a rapid review of
prolonged intracerebral EEG recordings is described. It is based on quantifying the …
prolonged intracerebral EEG recordings is described. It is based on quantifying the …
A modified statistically optimal null filter method for recognizing protein-coding regions
Computer-aided protein-coding gene prediction in uncharacterized genomic DNA
sequences is one of the most important issues of biological signal processing. A modified …
sequences is one of the most important issues of biological signal processing. A modified …
A novel morphology-based classifier for automatic detection of epileptic seizures
R Yadav, R Agarwal… - 2010 Annual International …, 2010 - ieeexplore.ieee.org
Most of the automatic seizure detection schemes reported in the literature are complex for
detecting seizures that are of (a) short duration,(b) minimal amplitude evolution, or (c) non …
detecting seizures that are of (a) short duration,(b) minimal amplitude evolution, or (c) non …
Assessment of Epileptic Seizures and Non-Epileptic Seizures via Wearable Sensors and Priori Detection of Epileptic Seizures
Epilepsy is one the most prevalent neurological disorders whose causes are not exactly
known. Diagnosis and treatment of epilepsy are closely related to the patient's story, and the …
known. Diagnosis and treatment of epilepsy are closely related to the patient's story, and the …
[HTML][HTML] An efficient method for epileptic seizure detection in long-term EEG recordings
AEM Helal, AF Seddik, MA Eldosoky… - Journal of Biomedical …, 2014 - scirp.org
Epilepsy is one of the most prevalent neurological disorders with no age, racial, social class,
and neither national nor geographic boundaries. There are 50 million sufferers in the world …
and neither national nor geographic boundaries. There are 50 million sufferers in the world …
Automatic Detection and Classification of Neural Signals in Epilepsy
R Yadav - 2012 - spectrum.library.concordia.ca
The success of an epilepsy treatment, such as resective surgery, relies heavily on the
accurate identification and localization of the brain regions involved in epilepsy for which …
accurate identification and localization of the brain regions involved in epilepsy for which …
Comparative genomic analysis using statistically optimal null filters
R Kakumani, MO Ahmad… - 2010 IEEE International …, 2010 - ieeexplore.ieee.org
It is well established that the function of human gene can be identified by working on the
corresponding gene in a model organism. Such comparative genomic studies have …
corresponding gene in a model organism. Such comparative genomic studies have …