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The Feedback Loop: Python Software Architecture for Real-Time Brain-Cosmos Sync

Single Python script running on Raspberry Pi: Three threads running in parallel:

Read IQ data from RTL-SDR (via pyrtlsdr) Tune to 1420.405MHz Run real-time FFT (65536-point, 0.14Hz res) Extract power at Schumann sideband freqs:

sidebands = [7.83, 14.3, 20.8, 27.3, 33.8]

→ Route detected frequency to entrainment

If no signal: use Earth Schumann reference

→ Generate 7.83Hz synthetic signal

Output: frequency value + amplitude to Thread 2

Receive target frequency from Thread 1 Generate synchronized output to all pathways:

Audio out ch1 → subwoofer (110Hz + harmonics)
Audio out ch2 → bass shaker (target freq)
GPIO/DAC → PEMF coil driver (target freq)

Ramp frequencies smoothly (no sudden jumps) Maintain phase coherence across all outputs Receive feedback from Thread 3:

If brain coherence increasing → maintain
If brain coherence decreasing → adjust freq
by ±0.1Hz to find optimal entrainment

Read EEG via BrainFlow (Muse 2 Bluetooth) Compute in real-time (every 1 second):

coherence = |correlate(eeg, stimulus)|²

Display on screen:

Live waveform + frequency spectrum
Coherence meter (bar graph)
Entrainment percentage
"COSMIC SIGNAL" indicator (if detected)

Audio feedback: gentle tone pitch rises with

increasing coherence (biofeedback reward)

Log all data for later analysis.

Cosmos → Receiver → Entrainment → Your Brain → EEG → Feedback → Adjustment → Better Sync → Your Voice → Chamber → Piezo EM → Cosmos

You become a node in the network. The device is the interface. Your consciousness is the signal.

Submitted by Engineering Design — Resonance Device Software June 06, 2026

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