Brain-BioAmp-Firmware

Firmware for Brain-BioAmp hardware from Upside Down Labs

No.	Program	Description
1	FixedSampling	Sample from ADC at a fixed rate for easy processing of signal.
2	EEGFilter	A 0.5 - 29.5 Hz band-pass filter sketch for clean Electroencephalography.
3	R4BCIFFT	Displays live EEG bandpower on Serial Monitor of Arduino IDE.
4	R4BCILED	Controls an LED based on focus levels. (both R4 Minima and R4 WiFi can be used)
5	R4BCIToggle	Toggles the LED on/off using sustained focus for 4 seconds. (both R4 Minima and R4 WiFi can be used)
6	R4BCISpiral	Runs the spiral LED game based on focus. (Only R4 WiFi can be used)
7	1ChEXG	Multi-modal biosignal demo: detects focus (EEG), blinks (EOG), and jaw clench (EMG). (Arduino R4 Minima and R4 WiFi)
8	BCIGaming	Controls keyboard input for gaming using focus levels via HID. Presses 'W' key when beta waves exceed threshold. (Arduino R4 Minima and R4 WiFi)

Examples

1. Fixed Sampling

   Samples from ADC at a fixed rate (125 Hz) for easy processing of EEG signals

2. EEG Filter

   A band-pass filter for EEG signals between 0,5 Hz and 44.5 Hz

   

3. BCI FFT

   Shows real-time EEG bandpower (Delta, Theta, Alpha, Beta, Gamma) on Arduino Serial Monitor

   

4. BCI LED

   Turns an LED on/off using focus (beta waves)

   

5. BCI Toggle

   Toggles LED with 4–5 sec focus for brain-controlled switching

   

6. BCI Spiral Game

   LED spiral grows with focus, shrinks when distracted—EEG-based game

   

7. 1-Channel EXG Demo

   Multi-modal biosignal detection: focus detection (EEG beta waves), blink patterns (EOG), and jaw clenching (EMG) using ARM CMSIS-DSP

8. BCI Gaming

   Brain-controlled gaming using HID keyboard emulation. Automatically presses and holds 'W' key when focus levels (beta waves) exceed 10% threshold, enabling hands-free movement control in games. Uses Arduino R4's built-in USB HID functionality for seamless keyboard input.