Electroencephalography TRIZ Cases

A binaural sleep inducing system generates adaptive acoustic tones to transition users from wakefulness to deep restful sleep states.

Counting EEG amplitude changes identifies seizure precursors, reducing false positives and enabling timely therapy delivery.

A bio-signal processing system measures driver brainwaves to determine physiological state and adjust vehicle control authority.

Coordinated 1-10 Hz audio and visual stimuli replace invasive implants, resolving the trade-off between reliable seizure control and patient comfort.

Headrest electrodes apply transcranial neurostimulation to alleviate motion sickness without requiring user action.

A remote physical examination sensor uses automated visual feedback to guide patients into correct chest placement for accurate cardiovascular data collection.

A data processing device constructs a body temperature curve to identify the sleep-onset time point for calculating sleep efficiency.

A reconfigurable biosignal processing architecture selectively powers analog and digital circuits to handle neural data.

A shielded EEG headset uses a flex circuit with a conductive shield layer to reduce noise interference.

A single-unit leadless EEG sensor integrates electrodes and amplifiers into one compact device for rapid skin attachment.

A closed-loop deep brain stimulation system modulates pathological neuronal activity using implanted electrodes.

A comparator circuit evaluates lead signals against a reference voltage to determine connection states without high-speed sampling.

A brain machine interface maps neural signals to intention estimating kinematics using a modified Kalman filter.

ARMA signal processing separates cortical input and state to resolve temporal resolution limits in brain function monitoring.

A biosensor response electrode generates an electric field to enable specific receptor binding for target substance detection.

A cloud-based system captures unconscious physiological signals using consumer devices for remote audience monitoring.

A sonification system converts brain and heart electrical signals into combined acoustic patterns using time-varying parameters.

A comfortableness assessment system measures electroencephalogram signals to detect event-related potential components.

Automated EEG seizure detection analyzes individual wave shapes and parameters to identify events without manual review.

Processor measures electrode impedance to select optimal contacts, reducing signal attenuation and eliminating manual placement.

A non-invasive brain stimulation device delivers theta burst electromagnetic pulses to enhance neuroplasticity.

EEG data analysis predicts hormone levels using calculated frequency band ratios, replacing invasive biosample collection with instant non-invasive measurement.

Targeted neuromodulation of the ventral striatum improves memory and attention in neurocognitive disorders using closed-loop feedback systems.

Processing unit determines discrimination scores from electroencephalograph signals to identify authentication candidates.

Torso electrodes conduct brain signals to bypass scalp attachment limits, enabling accurate attention training and gaming applications.

A neural probe uses a delta-modulator and delta-sigma analog-to-digital converter to digitize biological electrical activity.

An expert system preprocesses electrical data to compute brain activity source locations using inverse and forward models.

Internal routing of a flexible printed circuit within eyeglass frame cavities prevents conductor breakage while accommodating thin structural constraints.

A multi-algorithm system combines outputs with confidence values to optimize electrocardiogram diagnosis.

Harmonic regression models periodic artifacts to remove ballistocardiogram noise from EEG recordings without corrupted reference signals.

A visualization training system measures performance with and without visual stimuli to evaluate subject capabilities.

A serial addressing method controls multiple electrodes via a single digital bus line.

A distraction detection apparatus monitors operator state via optical or thermal imaging to trigger automatic control or warnings.

Segmented buffers reduce memory usage while maintaining measurement precision for accurate detection of oscillatory phenomena.

A processor adjusts alarm timing based on real-time sleep sensor data to ensure adequate rest.

A portable video electroencephalography helmet integrates dry electrodes and a synchronized camera for continuous patient monitoring.

A distraction detection apparatus uses electroencephalogram signals to estimate driver arousal and attention allocation for targeted safety interventions.

A visualization system maps neurophysiologic biomarkers to brain anatomy using spatiotemporal EEG data processing.

A wearable garment embeds a magnetometer system and conductive fibers to monitor physiological parameters in real time.

Segmented electrode arrays on rigid DBS leads resolve the trade-off between small diameter and high density, enabling complex directional stimulation patterns.

A processor applies sub-therapeutic pulses to match electrode impedance.

A signal relay apparatus analyzes sensor data and detects patient monitor display abnormalities to maintain continuous physiological monitoring.

Multi-core beamformer segments computation across independent cores to handle correlated sources, reducing computational time by a factor of 100.

A video game rewards users with attribute points based on real-time brain wave measurements to encourage self-regulation.

Stepless axial displacement of the sensor housing adjusts contact pressure across varying head shapes, eliminating manual calibration and reducing washing time.

Rotating oblique terminals navigate hair follicles to maintain electrical conductivity without scalp discomfort.

A biological signal acquisition device uses a controller to select optimal cell electrode pairs for reliable electrical signal detection.

A brain mapping system segments neural signals into epochs synchronized with pseudorandom stimulus sequences to generate correlation functions.

A medical device dynamically adjusts heart rate thresholds to detect neurological events.