Browsing by Subject "brain waves"

Now showing 1 - 4 of 4

Access status: Restricted ,
Analiza możliwości wykorzystania sygnałów z urządzenia NIA firmy OCZ Technology do sterowania urządzeniami mechanicznymi
(Data obrony: 2011-01-28) Hat, Marcin; Rega, Tomasz
Wydział Inżynierii Mechanicznej i Robotyki
Access status: Restricted ,
Analiza możliwości wykorzystania sygnałów z urządzenia NIA firmy OCZ Technology do sterowania urządzeniami mechanicznymi
(Data obrony: 2011-01-28) Rega, Tomasz; Hat, Marcin
Wydział Inżynierii Mechanicznej i Robotyki
Access status: Open Access ,
Budowa analogowego efektu audio sterowanego biosygnałami
(Wydawnictwa AGH, 2024) Węgrzyn, Filip
The paper presents a description of the construction of an analog audio effect using biosignals recorded from the human scalp to modulate sound. The biosignals included electroencephalographic waves narrowed to the Alpha brainwave band, as well as electrooculographic waves within the same band. A phaser effect was chosen, which modifies input signals based on changing the center frequency of notch filters. The device was designed to operate in two modes. In the first mode, EEG (electroencephalographic) and EOG (electrooculographic) waves were directly used to control the filters affecting the sound. In the second mode, modulation was carried out using a triangular signal obtained from a voltage-controlled oscillator, to which the envelope of the recorded waves was applied. The effect was tested during an electroencephalograph examination, and the degree of user control over its parameters was determined through the analysis of the obtained spectrograms.
Access status: Open Access ,
Choroba Alzheimera jako przykład desynchronizacji funkcjonowania i zbiór neurokognitywnych wzorców stanowiących potencjalne źródło zasobów dla rozwoju sztucznej inteligencji
(Wydawnictwa AGH, 2022) Kaszyńska, Anna Aleksandra
The review article focuses on the potential development of Artificial Intelligence by extracting fixed patterns and regularities that enable the improvement and refinement of advanced analyses in the field of artificial neural network learning. Is conducted through the prism of the neurocognitive view of Alzheimer’s disease as a potential set of neurocognitive patterns constituting a potential source of resources for the development of artificial intelligence. It is closely related to encephalography, both used to detect pathological dementia changes, and the analysis of brain activity itself, showing the existence of repeated regularities. These patterns, analogic in the astrophysical Lagrandrean mapping analysis of the galaxy, seem to have the potential to develop Artificial Intelligence. Especially, following the idea of perceiving Alzheimer’s disease as a global functional desynchronisation, global neurodegenerative changes may provide potential resources that, through mathematical and algebraic transformations, to serve as a foundation for the development of Artificial Intelligence.