Hofstadter_2022.pdf (31.95 MB)
Developing brain-computer music interfaces for meditation
thesisposted on 2023-08-30, 20:22 authored by Krisztián Hofstädter
This practice research developed two prototype brain-computer music interfacing (BCMI) systems to support meditation practices. The second, more advanced system, BCMI-2, was tested to help induce and maintain a specifc meditative state, the shamanic state of consciousness (SSC), frst with two trainees in a non-clinical neurofeedback training (NFT) setting and then with my own brain signals in an artistic performance setting. In both settings, the system generated soundscapes with two entrainment methods to support the meditation: (1) auditory rhythmic entrainment (ARE) generating drumming gradually decreasing in tempo and rhythmic complexity and (2) a neurofeedback protocol rewarding increased theta brainwaves at Fz with a reward sound embedded as an integral element within the computer-generated drumming. In addition to these techniques, the performance setting also mapped hemispheric coherence measurements to surround sound spatialisation to help increase my and the meditating audience’s feeling of immersion. The main contribution of this research is the creation of the BCMI-2 system and recommendations based on the knowledge gained while developing and testing its suitability to support meditation practices in NFT and artistic performance settings. BCMI-2 is fully open-source, afordable and uses the research-grade OpenBCI Cyton electroencephalograph to record multi-channel brain signals. The project contributes practical knowledge to the feld. It could be of interest to NFT practitioners wishing to design immersive soundscapes for neurofeedback protocols, artists wishing to express themselves with physiological computing and meditation practitioners wishing to understand meditation from a scientifc perspective.
InstitutionAnglia Ruskin University
- Accepted version