Brain Computer Interfaces

Service Overview

Develop cutting-edge brain-computer interface systems that enable direct communication between the brain and external devices. Our BCI services span from research and development to clinical implementation, creating solutions for medical rehabilitation, assistive technology, cognitive augmentation, and human-machine interaction.

We work with invasive and non-invasive neural recording techniques, advanced signal processing, machine learning for neural decoding, and real-time feedback systems to create practical BCI applications.

Core Capabilities

• BCI System Design: Custom BCI paradigms including motor imagery, P300, SSVEP, and hybrid approaches for specific applications
• Neural Signal Processing: Real-time preprocessing, artifact removal, feature extraction, and neural decoding from EEG, ECoG, or invasive recordings
• Machine Learning for BCIs: Classification and regression models for decoding motor commands, cognitive states, and user intentions
• Assistive Technology: BCI-controlled wheelchairs, prosthetics, communication devices, and environmental control systems
• Neurofeedback Systems: Closed-loop BCIs for cognitive training, attention enhancement, and neurological rehabilitation
• Clinical BCI Applications: Solutions for stroke rehabilitation, ALS communication, epilepsy monitoring, and locked-in syndrome

Best Practices & Methodologies

Development Standards

• Signal Quality: Rigorous electrode placement protocols, impedance monitoring, and signal quality metrics (SNR, artifact levels)
• Preprocessing Pipeline: Bandpass filtering, ICA for artifact removal, common average referencing, and baseline correction
• Feature Engineering: Domain-specific features including power spectral density, time-frequency analysis, and connectivity metrics
• Adaptive Algorithms: Self-calibrating systems that adapt to individual neural patterns and evolving signals
• Real-Time Performance: Latency optimization (<100ms) for responsive closed-loop systems
• User Training: Comprehensive user training protocols and neurofeedback for improving BCI control
• Ethical Compliance: IRB approval, informed consent, and adherence to neurotechnology ethical guidelines

Technologies & Frameworks

Industry Applications