… high accuracy and low computational complexity without loss of the model … seizure detection.
We designed a CAD system approach for seizure detection that optimizes the complexity of …

… This paper describes a systematic evaluation of current approaches to seizure detection in …
epilepsy detection method. The combination of complexity analysis and spectrum analysis on …

… Despite the promising results about epileptic seizure detection and prediction through offline
analysis, we are still lacking robust, tried-and-true real-time applications. Multidisciplinary …

… a novel complexity analysis … complexity from the perspective of new information emergence.
Followed this definition, the FPE-complexity degree is proposed to measure such complexity …

… This paper discusses a brief study on signal complexity measurement in the EEG signal in
the term of epileptic seizure detection. Complexity measurement based on statistic, entropy, …

… characteristics of EEG with seizure, we firstly compare the complexity of seizure EEG and
seizure-free EEG. As different patients in this dataset may have different seizure types, only the …

… We have recently developed a seizure detection method using sub-band mean phase
coherence (sub-band MPC) [16]. The raw iEEG data of two adjacent electrodes was first band-…

… MLZC successfully showed high and low complexity, respectively. Later, Kalev … seizure
detection performance of MLZC with respect to LZC. This study is a first look at seizure detection …

… of complexity can be used to identify neurological disorders. In this study, a non-linear epileptic
seizure detection … ) has been employed to characterize the complexity of EEG signals. For …

… of both detection performance and computational complexity, when used for seizure detection
in … considering scalp EEG seizure detection published between 2000 and 2010. A simple …