Essays about: "electroencephalography"
Showing result 16 - 20 of 67 essays containing the word electroencephalography.
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16. A Deep Learning Approach to Brain Tracking of Sound
University essay from Linköpings universitet/ReglerteknikAbstract : Objectives: Development of accurate auditory attention decoding (AAD) algorithms, capable of identifying the attended sound source from the speech evoked electroencephalography (EEG) responses, could lead to new solutions for hearing impaired listeners: neuro-steered hearing aids. Many of the existing AAD algorithms are either inaccurate or very slow. READ MORE
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17. In your dreams! : The neural correlates of lucid dreaming
University essay from Högskolan i Skövde/Institutionen för biovetenskapAbstract : While dreaming, one lacks the understanding that what is experienced is self-generated hallucinatory contents of consciousness. However, during dreaming there is a rare state called lucid dreaming. The minimal requirement for a dream to be considered lucid is that one is self-aware that one is currently sleeping. READ MORE
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18. Deep Learning for Driver Sleepiness Classification using Bioelectrical Signals and Karolinska Sleepiness Scale
University essay from Linköpings universitet/Institutionen för medicinsk teknikAbstract : Driver sleepiness contributes to a large amount of all road traffic crashes. Developing an objective measurement of driver sleepiness in order to prevent eventual traffic accidents is desirable. READ MORE
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19. Training Autoencoders for feature extraction of EEG signals for motor imagery
University essay from Mälardalens högskola/Akademin för innovation, design och teknikAbstract : Electroencephalography (EEG) is a common technique used to read brain activity from an individual, and can be used for a wide range of applications, one example is during the rehab process of stroke victims. Loss of motor function is a common side effect of strokes, and the EEG signals can show if sufficient activation of the part of the brain related to the motor function that the patient is training has been achieved. READ MORE
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20. Classification of EEG Data Using Convolutional Neural Networks and the Scaled Reassigned Spectrogram
University essay from Lunds universitet/Matematisk statistikAbstract : Electroencephalography (EEG) is a medical technique for measuring brain activity through several channels connected to the scalp. Interpreting EEG data is a difficult problem because of the large amount of noise contained in the data. READ MORE
