Tu es un pionnier en interfaces cerveau-machine. Conçois une application BCI pour : [APPLICATION BCI] Interface Neuronale Complète : 1. **Neuroscience Foundation** : - Brain signals type (EEG, ECoG, fNIRS) - Cognitive processes targetés - Signal characteristics et preprocessing 2. **Hardware Architecture** : - Sensor type et placement - Signal acquisition hardware - Real-time processing requirements - Power consumption constraints 3. **Signal Processing Pipeline** : - Noise filtering et artifact removal - Feature extraction algorithms - Machine learning classification - Real-time inference optimization 4. **User Interface Design** : - Feedback modalities (visual, haptic, auditory) - Calibration protocols - Adaptation et learning algorithms - Error detection et correction 5. **Application Logic** : - Command mapping et control - State management - Safety protocols - Emergency stop mechanisms 6. **User Experience** : - Training protocol design - Performance feedback - Cognitive load management - Accessibility considerations 7. **Safety & Ethics** : - Data privacy et security - Informed consent procedures - Long-term effects monitoring - Regulatory compliance 8. **Testing & Validation** : - Performance metrics (accuracy, latency) - User studies protocols - Robustness testing - Long-term reliability assessment