A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations
Decades of rodent research have established the role of hippocampal sharp wave ripples
(SPW-Rs) in consolidating and guiding experience. More recently, intracranial recordings in …
(SPW-Rs) in consolidating and guiding experience. More recently, intracranial recordings in …
Application of artificial neural networks to clinical medicine
WG Baxt - The lancet, 1995 - Elsevier
A 51-year-old man walks into an emergency department with mild left anterior chest pain. He
denies any significant personal or family history of heart disease and he has no other …
denies any significant personal or family history of heart disease and he has no other …
Recurrent neural network based prediction of epileptic seizures in intra-and extracranial EEG
A Petrosian, D Prokhorov, R Homan, R Dasheiff… - Neurocomputing, 2000 - Elsevier
Predicting the onset of epileptic seizure is an important and difficult biomedical problem,
which has attracted substantial attention of the intelligent computing community over the …
which has attracted substantial attention of the intelligent computing community over the …
System for the prediction, rapid detection, warning, prevention, or control of changes in activity states in the brain of a subject
J Dorfmeister, M Frei, D Lerner, I Osorio… - US Patent …, 1999 - Google Patents
[57] ABSTRACT A system (10) analyzes signals representative of a subject's brain activity in
a signal processor (12) for information indicating the subject's current activity state and for …
a signal processor (12) for information indicating the subject's current activity state and for …
Discrimination of sleep stages: a comparison between spectral and nonlinear EEG measures
J Fell, J Röschke, K Mann, C Schäffner - … and clinical Neurophysiology, 1996 - Elsevier
During recent years methods from nonlinear dynamics were introduced into the analysis of
EEG signals. Although from a theoretical point of view nonlinear measures quantify …
EEG signals. Although from a theoretical point of view nonlinear measures quantify …
Comparison of artificial neural network and logistic regression models for prediction of mortality in head trauma based on initial clinical data
B Eftekhar, K Mohammad, HE Ardebili… - BMC medical informatics …, 2005 - Springer
Background In recent years, outcome prediction models using artificial neural network and
multivariable logistic regression analysis have been developed in many areas of health care …
multivariable logistic regression analysis have been developed in many areas of health care …
Wavelet preprocessing for automated neural network detection of EEG spikes
T Kalayci, O Ozdamar - IEEE engineering in medicine and …, 1995 - ieeexplore.ieee.org
The purpose of this study was to investigate the feasibility of using a wavelet transforms (WT)
as a preprocessor for an artificial neural network (ANN) based EEG spike detection system …
as a preprocessor for an artificial neural network (ANN) based EEG spike detection system …
Applications of artificial neural networks in medical science
Computer technology has been advanced tremendously and the interest has been
increased for the potential use of 'Artificial Intelligence (AI)'in medicine and biological …
increased for the potential use of 'Artificial Intelligence (AI)'in medicine and biological …
Automatic detection of seizures and spikes
J Gotman - Journal of Clinical Neurophysiology, 1999 - journals.lww.com
The recording of seizures and spikes is of primary importance in the evaluation of epileptic
patients. This is not always an easy process because these events can be rare and are …
patients. This is not always an easy process because these events can be rare and are …