Electroencephalography TRIZ Cases

EEG baseline tolerance readings prevent unauthorized transactions by comparing real-time signals against pre-established velocity thresholds.

A wearable device adjusts holding force based on usage state to ensure a secure fit.

A wireless neural modulation implant uses electromagnetic induction to power intracranial electrodes without percutaneous wires.

Processor system combines electrocardiographic and electroencephalographic data features to determine SUDEP risk through statistical association measures.

A system determines information inflow across brain regions during resting periods to identify the focal area of abnormal interactions.

Frequency-weighted energy calculation identifies aortic and pulmonary components in heart sounds, resolving noise interference that hinders manual auscultation.

A processing unit analyzes brain waves to estimate target stimulus events and determine discrimination scores for objective cognitive assessment.

An implantable medical device generates microburst and conventional electrical signals to stimulate the vagus nerve.

A wearable device system delivers haptic feedback through tactile stimulation patterns to communicate physiological data.

Segmented frequency analysis and spectral edge metrics resolve the trade-off between device complexity and reliability in anesthesia monitoring.

Nested sensing eyewear frames accommodate conventional glasses while maintaining sensor skin contact for accurate measurement.

A binaural sound system generates tailored audio recipes using real-time brain wave monitoring to induce specific physiological responses.

A bio-signal processing method estimates motion occurrence times to apply targeted attenuation factors for signal correction.

A sleep monitoring system calculates restoration levels using slow wave activity metrics for personalized assessment.

Real-time capnography feedback adjusts inspired CO2 concentration, correcting apnea without triggering patient arousal.

A brain-computer interface system processes EEG signals to detect motor intent and provide personalized feedback.

Coherent narrowband feedback signal rejects noise interference to improve signal-to-noise ratio for accurate weak capacitive coupling measurements.

Pseudo-random noise tags embedded in stimuli enable robust brain wave signal detection through correlation processing.

Elastic tongs press needle electrodes into skin to suppress noise and eliminate adhesive irritation.

Multi-tiered neural probes integrate thin-film electrodes and optical fibers on a cylindrical substrate to detect neuronal dipoles with high spatial resolution.

A combination of transcranial photobiomodulation and electrical stimulation restructures dysfunctional neural pathways.

Computing root mean square error between successive EEG snapshots to detect peaks and valleys that define stable brain microstates.

A lightweight mask integrates a sensor body and electronic module to measure air flow via differential pressure.

Segmenting the processing module from sensor electrodes minimizes motion-related artifacts in vital sign measurements during ambulatory monitoring.

A portable system integrates EEG, eye tracking, and voice sensors to collect multi-modal biological data for brain health assessment.

Adjusting rTMS pulse frequency based on EEG settling time maximizes neural resonance.

EEG attention measurement system replaces complex neuroimaging with cross-correlation analysis to determine cortical attention levels.

A COSEn algorithm analyzes heart beat interval dynamics to detect atrial fibrillation accurately.

Flexible parylene substrates reduce tethering forces and infection risks while maintaining high-resolution neural activity detection.

A neural event extractor generates Sp/Ap curve data and field potential data from vestibular signals.

Estimation device modulates audio signals with ambient noise to determine hearing acuity levels.