A seizure detection system analyzes inter-region neural correlations to identify transitions from hyposynchrony to hypersynchrony.
A predictive algorithm system characterizes patient neural state to generate personalized intervention recommendations.
Fixed-order ARMA model analyzes EEG signals to determine complex poles, resolving measurement precision limits in clinical monitoring.
A hardware-efficient non-linear SVM engine classifies multichannel EEG data to resolve the trade-off between detection latency and accuracy.
An integrated circuit digitizes neural signals and applies a digital line frequency filter algorithm to remove noise without complex hardware.
Replacing survey errors with EEG, GSR, and EKG measurements resolves the contradiction between collection ease and measurement precision.
Segmenting the ground across the PCB and accessory body resolves the conflict between quarter-wavelength length requirements and device miniaturization.
Automated electrode array switching based on detected device orientation eliminates manual alignment errors and improves measurement reliability.
Head-mounted outward-facing cameras capture user perspective data to resolve latency and restricted coverage limits in traditional external tracking systems.
Integrated conductive threads and EMI shielding in a wearable garment resolve skin irritation and lead tangling while maintaining signal quality.
EEG electrodes detect brain waves to switch hearing instruments between active and relaxation modes, eliminating manual adjustments.
Control circuitry delivers electrical therapy to synchronize brain areas in response to external sensory stimuli, avoiding independent activation.
Flexible textile electrodes enable self-operable bio-signal monitoring without medical assistance.
A biomarker fusion system processes ERP test results alongside other biomarker data to classify patients based on defined class and feature sets.
A closed-loop deep brain stimulation system detects hyperkinetic states via gamma oscillation monitoring.
Evaluating neuroplasticity via transcranial magnetic stimulation resolves the contradiction between diagnostic accuracy and early detection timing.
An active electrode coupler controls sensor current to match patient voltage, establishing a low impedance interface at the skin contact point.
A learning system detects user motivation via electroencephalogram event-related potentials to output break prompts when engagement drops.
A driving assistance device estimates driver concentration using biometric data to adjust vehicle support.
Piezoionic polymer electrodes in a sensor array generate electrical signals from mechanical deformation, eliminating the need for external excitation energy.
A cognitive-kinesthetic drawing method uses audio-haptic feedback to train spatial cognition and motor coordination through non-visual interaction.