Synchronization and clustering in electroencephalographic signals

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Synchronization in Brain - Assessment by Electroencephalographic Signals

The interdependencies between the electroencephalograms of several cortical areas are measured in human adult subjects during different experimental situations by means of methods based on the theory of dynamical systems. Multiple cortical areas are found to be synchronized together while the brain was engaged in higher information processing task. An additional experiment showed that the inter...

متن کامل

Emotion clustering from stimulated electroencephalographic signals using a Duffing oscillator

The paper proposes an alternative approach to emotion recognition from stimulated EEG signals using Duffing oscillator. Reported works on emotion clustering generally employ the principles of supervised learning. Unfortunately, because of noisy and limited feature set, the classification problem often suffers from high inaccuracy. This has been overcome in this paper by submitting the EEG signa...

متن کامل

Performance of different synchronization measures in real data: a case study on electroencephalographic signals.

We study the synchronization between left and right hemisphere rat electroencephalographic (EEG) channels by using various synchronization measures, namely nonlinear interdependences, phase synchronizations, mutual information, cross correlation, and the coherence function. In passing we show a close relation between two recently proposed phase synchronization measures and we extend the definit...

متن کامل

Comment on "Performance of different synchronization measures in real data: a case study on electroencephalographic signals".

We agree with Duckrow and Albano [Phys. Rev. E 67, 063901 (2003)] and Quian Quiroga [Phys. Rev. E 67, 063902 (2003)] that mutual information (MI) is a useful measure of dependence for electroencephalogram (EEG) data, but we show that the improvement seen in the performance of MI on extracting dependence trends from EEG is more dependent on the type of MI estimator rather than any embedding tech...

متن کامل

Phase Synchronization in Electroencephalographic Recordings Prognosticates Outcome in Paediatric Coma

Brain injury from trauma, cardiac arrest or stroke is the most important cause of death and acquired disability in the paediatric population. Due to the lifetime impact of brain injury, there is a need for methods to stratify patient risk and ultimately predict outcome. Early prognosis is fundamental to the implementation of interventions to improve recovery, but no clinical model as yet exists...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Chaos, Solitons & Fractals

سال: 2007

ISSN: 0960-0779

DOI: 10.1016/j.chaos.2005.10.049