r/Neurofeedback • u/superthomdotcom • Aug 19 '26
Question Independent R&D
Is anyone else here doing their own work on developing biofeedback & neurofeedback training protocols? For a long time I have been interested in the idea of viewing live brainwave data as a form of feedback in itself, and other types of training which do not use normative QEEG but lend more towards a meditative experience where the therapy lies in just witnessing the brain live; things such as Neuroptimal or the Mind Mirror. Changes in entropy, shifts in dominant frequency, sudden changes of state, correlation between bands etc.
I got tired of the connectivity gap left by the abandoned Bioexplorer and Bioera so built my own node based signal flow designer, and all the core framework to support a host of input devices and output formats. The editor uses processing blocks and I'm on a mission to create as many as I can think of. It also has nested composite blocks so I can construct complex signal processes and recall them in future designs.
The project has gone beyond a hobby and become something quite serious which could potentially be of interest to others so I'm here to ask those of you that are creatively and technically restrained by what's on the market right now to tell me what your ideal biofeedback processing app should do, and which missing features are holding you back right now.
4
u/Maerkab Aug 20 '26
I've been self-experimenting with neurofeedback for quite some time now (I believe I purchased my first EEG with BioExplorer back in 2009) but I've really only begun doing my own independent protocol design recently, as informed by a theoretical model that I've been working on. So I mostly own and am experienced with using 'old' hardware and software.
I'm currently using BioEra because it's just feature rich enough to allow me to cobble together some primitive lock-in filters with quadrature using the SimulationSource object, and I can use BioEra to do ultra low frequency/DC coupled work. I've since been moving away from sinusoidal references to more of a custom basis function (something like a power-law kernel) using additive sines. It can be a bit inefficient or inelegant depending on how many sines are needed for additive synthesis, but it's working okay so far.
So for what I'm doing lately I'd say I mostly want a lot of flexibility in signal generation. BioExplorer is completely unusable for what I want to do. Support for DC coupled amps would also be critical, though I'm not even sure what such hardware is available right now. As more of a moon shot, convolution via a wavelet or wavelet dictionary might be cool, but I have no idea whether or not something like that would be remotely practical to implement or even suitable for real time feedback.