Gersch, W. (1970): ‘Spectral analysis of EEGs by autorgressive decompositions of time series’, Math. Biosci. , 7 , pp. 205–222. MATHGersch, W. (1970). “Spectral Analysis of EEG’s by Autoregressive Decomposition of Time Series,” Mathematical Biosciences , 7, pp. 205–222....
Seizure prediction with cross-higher-order spectral analysis of EEG signalsCross-bispectrumCross-HOSEEGSeizureSupport vector machineAddressEpilepsy is a neurological disorder that happens because of the propagation of abnormal signals produced by clusters of neurons in the brain. The majority of those ...
Bablu Lal Rajak, Meena Gupta, Dinesh Bhatia, Arun Mukherjee, Sudip Paul, Tapas Kumar Sinha. Power Spectrum Density Analysis of EEG Signals in Spastic Cerebral Palsy Patients by Inducing r-TMS Therapy.Journal of Biomedical Engineering and Technology. 2016; 4(1):7-11. doi: 10.12691/jbet-4-1...
Sleep Stages Clustering Using Time and Spectral Features of EEG SignalsSleep stage classification is a highly addressed issue in polysomnography; It is considered a tedious and time-consuming task if done manually by the specialist; therefore, from the engineering point...
The spectral centroid (SC): It is a measure of the amplitude at the center of the spectrum of the signal distribution over a window calculated from the Fourier transform frequency and amplitude information. From: Brain Seizure Detection and Classification Using EEG Signals, 2022 ...
A novel real-time patient-specific seizure diagnosis algorithm based on analysis of EEG and ECG signals using spectral and spatial features and improved particle swarm optimization classifierNasehiS.PourghassemH.COMPUTERS IN BIOLOGY AND MEDICINE
Further analyzing after the detection using large data set is a good supplement to the wide range of algorithms currently used for analysis. Seizure evolution is typically a dynamic and non stationary process and the EEG signals are composed of many frequency bands. The objective of this work ...
Further model analysis demonstrated that rhythmic EEG signals are profoundly corrupted by shifts in synapse properties. To examine this scenario, we recorded EEGs of human subjects being administered propofol, a general anesthetic and GABA receptor agonist. Drug administration caused broadband EEG changes...
Auger, I., Lawrence, C.: Algorithms for the optimal identification of segments neighborhoods. Bull. Math. Biol. 51 (1989) 39–54 About this Chapter Title Analysis of EEG Time Series Recorded from Alzheimer Patients Based on Their Spectral Content Book Title Advances in Cognitive Neurodynamics...
proposed a linear discriminant method called Hierarchical Discriminant Component Analysis (HDCA) which operates on channel and time dimensions of EEG signals (Gerson, Parra, & Sajda, 2006). Barachant et al. introduced Riemann geometry to measure the distance between EEG raw signals and proposed the...