EEG-Mediated Computing Device for Alzheimer’s Interaction

The patent introduces an intermediary system (computing device with EEG interface) that mediates between the Alzheimer's patient and family/friends. The device translates the patient's EEG signals into recognizable communication patterns, enabling effective interaction despite cognitive decline. This intermediary handles the complexity of signal processing and pattern recognition, keeping the patient-side interface simple.

The patent replaces conventional mechanical communication methods (speech, writing) with a biological signal-based system. Instead of relying on deteriorating cognitive functions for communication, the system uses EEG waveform patterns that remain relatively preserved, substituting the broken mechanical communication pathway with a functional biological signal pathway.

The system performs preliminary actions by collecting and storing EEG waveform data during periods when the patient has good cognitive function. These pre-collected waveform patterns serve as a library for future recognition, enabling accurate identification of communication intent even when cognitive function deteriorates. The preliminary data collection reduces the need for extensive real-time processing.

The patent creates copies of EEG waveform patterns associated with specific communication intents or emotional states. Instead of storing and processing raw continuous EEG data, the system stores representative waveform copies that capture the essential characteristics of different communication states, reducing storage requirements while maintaining recognition accuracy.