'Eeg signal' presentation slideshows

Source Estimation in EEG

946 views • 72 slides

Brain tumor classification based on EEG hidden dynamics

Brain tumor classification based on EEG hidden dynamics. Authors: Rosaria silipo, Gustavo Deco, Helmut Bartsch Advisor: Dr. Hsu Graduate: Yu-Wei Su. Outline . Motivation Objective Brain tumor classification and rest EEG

785 views • 39 slides

Brain tumor classification based on EEG hidden dynamics

Brain tumor classification based on EEG hidden dynamics. Authors: Rosaria silipo, Gustavo Deco, Helmut Bartsch Advisor: Dr. Hsu Graduate: Yu-Wei Su. Outline . Motivation Objective Brain tumor classification and rest EEG

633 views • 39 slides

On the Feasibility of Side-Channel Attacks with Brain-Computer Interfaces

On the Feasibility of Side-Channel Attacks with Brain-Computer Interfaces. Ivan Martinovic , Doug Davies, Mario Frank, Daniele Perito , Tomas Ros , Dawn Song Presenter: Yeongmin Lee. Outline. Introduction Background Threat Model Experimental Scenarios Analysis Methodology Result.

615 views • 38 slides

426 views • 35 slides

Basis of the M/EEG signal

Basis of the M/EEG signal. Evelyne Mercure & Bonnie Breining. Plan. Overview of EEG & ERP Overview of MEG Comparisons EEG vs. MEG EEG/MEG vs. Other Imaging Techniques. Electroencephalography.

876 views • 29 slides

THE PROBLEM

291 views • 21 slides

What is EEG ?

What is EEG ?. An electroencephalograph (EEG) is the recorded electrical activity generated by the brain. In general, EEG is obtained using electrodes placed on the scalp with a conductive gel.

2.68k views • 20 slides

A study of human emotions from Brain waves

A study of human emotions from Brain waves. Prepared by: Saleh Al- Watban 426101912 Riyadh Al- Khalifah 427101346 Supervised by: prof . Mohammed Rizon. Goal of the project:. 1. to investigate a method to facilitate emotion recognition from physiological signals.

356 views • 17 slides

NI NI SOE (D3) Fractal and Chaos Informatics Laboratory (NLAB)

Analysis of Movement Related EEG Signal by Time Dependent Fractal Dimension and Neural Network for Brain Computer Interface. NI NI SOE (D3) Fractal and Chaos Informatics Laboratory (NLAB). Background and Purpose.

294 views • 16 slides

B rain imaging research

B rain imaging research. Features of all methods. PET excellent spatial resolution fMRI poor temporal resolution EEG poor spatial resolution MEG excellent temporal resolution. Features of all methods.

145 views • 14 slides

Signal and Systems

Signal and Systems. ??????. ?????. ???????????????????????? ?????? (LTI) ???????????????????????? ????????????????????? (Fourier analysis) ????? (Laplace Transform) ? z- ?? (z transform) ??????. ????. ????? ?? ?? Matlab ?? . ????. Introduction

315 views • 12 slides

Introduction

Scanning and Detection of EEG Diseases Using Medical Signal Processing. Introduction. 1.

104 views • 4 slides