BINAURAL BEAT BIOFEEDBACK FROM EEG by Philip Soden DISCLAIMER In using these files you agree that the author is not responsible for any injury to persons or property arising from such use. The files may be distributed freely on condition that this readme.txt file is included in the distribution. The files may not be sold or otherwise used for profit-making purposes without the written consent of the author. HAZARD WARNING Listening to binaural beat tones can produce altered states of consciousness and is reported to have triggered epileptic seizures. This application should not be used when driving or operating machinery, and should not be used by epileptics or by anyone receiving psychiatric treatment. CONTENTS This zip file (binaural.zip) contains the following: BINAURAL.CFG A Waverider configuration file to generate a MIDI output from one channel of EEG, the output note varying with the average EEG frequency. SYNTHUSR.SBK A SoundBlaster AWE32 MIDI instrument based on 2 sampled sine waves (120Hz and 134Hz at c4 on the MIDI keyboard) panned left and right respectively within one instrument. BINAURAL.XLS An Excel spreadsheet for calculating output frequencies of left and right channels, delta f (binaural beat) for a range of MIDI notes, and the effect of note range selection (in Waverider) on the offset between measured EEG and fed-back binaural beat frequencies. README.TXT This text file. HARDWARE / SOFTWARE REQUIREMENTS To create binaural beat biofeedback from EEG, this setup needs a Waverider or Waverider Jr. and Waveware software to amplify and process the EEG signals, a SoundBlaster AWE32 or compatible card that accepts *.sbk files, plus a PC / compatible, with Microsoft Windows. If you don't have a Waverider, you can skip the bio-feedback and still make binaural beat tones by using a MIDI sequencer / composition software to play a selected sequence of notes, using the synthusr.sbk file loaded into the Soundblaster AWE32. SETUP (Instructions are for SoundBlaster AWE32 - your mileage may vary) Unzip the file and copy the binaural.cfg file to the c:\waveware\ directory. Copy the synthusr.sbk file to the relevant Soundblaster subdirectory (e.g. c:\sb16\sfbank\) Open AWE Setup and select User Custom Synth in the Synth Bank drop-down box, then select synthusr.sbk into user bank 1. As confirmation that all is well, the title "Binaural Beat Bank" should be displayed under the User Bank number selector. Hit [Set] and quit AWE setup. Start Waverider and select Load Configuration from the Files pull- down menu. Select binaural.cfg, gel up the headband and you're ready to go. HOW IT WORKS The Waverider amplifies and processes EEG signals from electrodes on the Waverider headband, and the Waveware software produces a MIDI output which controls the sound card from the EEG inputs. With the binaural.cfg file loaded into Waverider, the output MIDI notes vary in pitch in proportion to the average brainwave frequency. The synthusr.sbk file configures the SoundBlaster AWE32 as a custom MIDI instrument to be played by the Waverider. When a "note-on" signal is received from the Waverider, the SoundBlaster produces two sine waves of slightly different frequencies, one in each ear (headphones are recommended for effective binaural beat listening). Playing a lower MIDI note makes both sine waves lower in pitch, as well as reducing the frequency difference (beat) between the two tones. If a higher note is played, the frequency of the tones and also the beat frequency between them are increased. This gives useful conscious audible feedback in that the tones themselves follow the average EEG frequency up and down. More to the point, the beat frequency between the two tones also reduces and increases, tracking the average EEG frequency. The theory of binaural beat stimulation is that brainwaves tend to follow the applied beat frequency (if the offset between EEG and beat frequency is less than 15%), so by choosing a binaural beat frequency that stays slightly below the average EEG frequency, it is possible to lead the EEG slower into alpha and theta states via this bio-feedback mechanism. This combination of conscious and subconscious feedback is a powerful way of centering and clearing the mind. Rising tones give early warning signals of potentially distracting thoughts even before the user is consciously aware of the thought. At the lower end of the range, the output frequencies become less and less audible due to the frequency response of the ear and of the headphones. This helps to reach deeper meditative states where the tones would be distracting if continued at mid-range levels. ADJUSTING PITCH AND OFFSET The offset frequency (i.e. the difference between the average EEG frequency and the binaural beat frequency) can be adjusted, and can be set to lead the brainwaves up or down in frequency. There are several ways of adjusting the offset, including the coarse and fine tuning within the .sbk, or selecting a different root note for the samples (you will need Vienna Studio or similar software to do either of these). Another, perhaps easier method is to adjust the output note range for the MIDI instrument within Waverider. Open binaural.xls (Microsoft Excel spreadsheet) to find the note range combination that produces your desired offset. The offset is initially set at 0.4 Hz, leading downwards (i.e. the beat frequency is lower than the average EEG frequency). If you want to change the offset, enter another combination of start and end notes in binaural.xls until you reach the desired offset, and enter those values in Waverider (double click on the Waverider MIDI display window to access this function). Please note that negative offset values represent beat frequencies that are higher than the average EEG frequency, i.e. they would tend to lead the brainwaves upwards into beta. TROUBLESHOOTING If this doesn't work with your sound card, check against the manualŠs instructions for loading a user sound bank, and ensure that the card can handle multi-layer samples within one instrument. MORE... Please send constructive criticism or suggestions to Phil Soden at dven@mail.hkapa.edu (c) Philip Soden August 1995