// ADS1299 EEG Acquisition — ESP32-S3 // CyberMind.FR — Gandalf // OPORD-EEG-1 #include "ads1299.h" #include "esp_bt.h" #include "freertos/FreeRTOS.h" // Config ADS1299 #define SPS 250 // samples/sec #define N_CHANNELS 8 // canaux EEG #define VREF 4.5f // référence (V) #define GAIN 24 // gain ampli void eeg_task(void *pvParam) { ads1299_init(SPS, GAIN); int32_t samples[N_CHANNELS]; while(1) { ads1299_read_all(samples); ble_notify_eeg(samples, N_CHANNELS); vTaskDelay(1 / portTICK_PERIOD_MS); } } // HRV — MAX30102 sur I2C void hrv_task(void *pvParam) { max30102_init(I2C_NUM_0, 0x57); while(1) { uint32_t ir = max30102_read_ir(); rr_detect_update(ir); // détection pic R hrv_compute_rmssd(); vTaskDelay(10 / portTICK_PERIOD_MS); } }

# Stack analyse EEG/HRV psychédélique # CyberMind.FR — Session Monitor v1.0 import mne # EEG analysis import biosppy # biosignal processing import neurokit2 # HRV complete toolkit import pylsl # Lab Streaming Layer import streamlit # Dashboard realtime import numpy as np # Réception BLE → LSL stream_eeg = pylsl.StreamInlet( pylsl.resolve_stream('type', 'EEG')[0]) def compute_band_power(data, sf): """FFT → bandes Delta/Theta/Alpha/Beta/Gamma""" freqs, psd = mne.time_frequency.psd_array_welch( data, sfreq=sf, fmin=0.5, fmax=100) bands = { 'theta': (freqs>=4) & (freqs<=8), 'alpha': (freqs>=8) & (freqs<=12), 'gamma': (freqs>=30) & (freqs<=80) } return {k: np.mean(psd[v]) for k,v in bands.items()} # HRV : détection R-peaks + RMSSD hrv_signals, _ = neurokit2.ecg_process(ecg, sf=1000) hrv_metrics = neurokit2.hrv_time(hrv_signals)