EEG analysis and Machine Learning
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This document discusses EEG analysis and machine learning techniques. It describes how EEG data is acquired, preprocessed by removing artifacts, and then features are extracted. Various machine learning algorithms like Bayesian random forests, neural networks, and SVMs are used for prediction and automatic labeling of EEG patterns related to seizures, brain waves during meditation, cognition, and other mental states. It also includes an illustration of electrode positions on the brain and the frequency bands of brain waves.
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EEG analysis and Machine Learning
- 1. EEG ANALYSIS & MACHINE LEARNING EEG Data Acquisiton Amplification Filtering Digitization Artifact Removal Data Pre-Processing EEG Montage Feature Extraction Bayesian Random Forest Neural Networks SVM Decision Trees 4.6 Prediction Machine LearningPrediction Auto LabelingSeizures Events Spectral Temporal Patterns Human Brain Waves Insight Peak focus Expanded consciousness Relaxation Visualization Creativity Alertness Concentration Cognition Meditation Intuition Memory Detached awarness Healing Sleep 0.0 0.2 0.4 0.6 0.8 1.0 Brain & Electrode Positions 10% 10% o1 Pz czFz Fp1 20% 20% 20% 20% 10% 20% NASION Ventex INION Pg1 Preaurical point A1 T3 F7 T5 P3 C3 F3 FRONTAL LOBE TEMPORAL LOBE PARIETAL LOBE Problem solving Planning Word production Vision Word understandingMemory Emotion (not visible) Behavioural control Emotion CEN TRAL F SYLVIAN F EXOOCIPITALF OCCIPITAL LOBE 10% 10% 20% 20% 20% 20% NASION INION Fp1 Pg1 Pg2 Fp2 F7 T3 T5 C3 O1 O2 P3 Pz P4 T6 C4 T4 A2A1 Cz F3 F8 Fz F4 Supplementary motor cortex Organization of complex movement Primary motor cortex contralateral movement Primary somatosensory cortex Perception of contralateral somatosensory stimuli Wernicke’s area Comprehension of speech Broca’s area Expression of speech Auditory cortex Primary visual cortex Central sulcus ( separates frontal /parietal lobes) FRONTAL PARIETAL TEMPORAL OCCIPITAL Copyright © 2017 econcepts - www.egovconcepts.com You must not rely on the information in this poster as an alternative to medical advice from your doctor or other professional healthcare provider. If you have any specific questions about any medical matter you should consult your doctor or other professional healthcare provider. GAMMA 31 - 100 Hz BETA 16 - 30 Hz ALPHA 8 - 15 Hz THETA 4 - 7 Hz DELTA 0.1 - 3 Hz