Electroencephalography TRIZ Cases

Bonded nonwoven fabric and shield layers eliminate exposed conductive portions in biological electrode tools, reducing external noise interference.

Adaptive neurostimulation system measures monitoring latencies and adjusts intervention timing to reduce delay in closed-loop neural modulation.

A fixation-locked system segments EEG data using eye tracking to detect cognitive responses in natural environments.

A dissolving organic substrate supports conductive traces in an implantable electrode array, reducing MRI artifacts and cortical heating risks.

Active material vehicle components adapt properties via biometric signals.

A flat sensor package uses a hydrogel layer and hydrocolloid sections to adhere securely to skin surfaces.

A wearable computing device detects user drowsiness via physiological sensors and outputs mode-specific feedback messages.

A method uses varied stimulation waveforms to determine nerve fiber thresholds through patient perception signals.

Segmenting inter-ictal periods into contra-ictal and non-contra-ictal states provides real-time safety assurance, reducing uncertainty about seizure timing.

Segmented electrode arrays compute voltage differences and correlate frequency bands to pinpoint seizure onset positions.

Adaptive judgment standards adjust to event-related potential variations for accurate disappointment detection.

Local biosignal classification using orthonormal domain filters reduces network congestion and power drain by transmitting only abnormal events.

A seizure detection system quantifies brain wave signal evolution through paths in a parameter space.

An automated system measures EEG reactivity by calculating signal irregularity changes relative to stimulus timing.

Multiple parallel bandpass filters separate cardiac signals into distinct frequency bands to detect R-wave and T-wave amplitudes.

A wireless sensor array detects brain waves, heart rate, and orientation to objectively determine user emotional responses during media consumption.

Electromagnetic propulsion drives a flexible probe through guiding tubes, enabling precise deep brain implantation while reducing glial scarring.

A steering wheel grip sensor and head-wearable brain wave detector feed data to a controller for fatigue state determination.

A wearable data acquisition unit integrates with sensor strips and nasal masks to collect neuro-cardio-respiratory signals for sleep analysis.

Real-time intracranial stimulation restores theta wave synchronization to abort seizure onset.

A system extracts frequency features from EEG signals to identify optimal discriminating features for musical preference detection.

Algorithm adjusts therapy parameters based on detected acceleration forces exceeding 1G to compensate for electrode-tissue position changes.

Phase-space distribution functions analyze EEG signals to generate dynamic neural fingerprints, resolving identity theft risks from static biometric forgery.

Thin conformable pads on a cortical sensing device prevent tissue penetration and movement by adapting to brain contours for accurate monitoring.

Nasal platelet-rich plasma infusion combined with hyperbaric oxygen therapy addresses sub-acute to chronic traumatic brain injury symptoms.

A cognitive function testing system records response coordinates and timing via a segmented touch panel display for objective measurement.

A wound thin film medical lead integrates high-density electrodes on an elongated carrier to deliver precise electrical stimulation pulses.

A wireless brain-monitoring system captures EEG signals via subcutaneous electrodes and transmits data using infrared energy.

Resampled minute ventilation signals detect disordered breathing events, eliminating false positives from fragmented sleep monitoring.

Control circuitry calculates amplitude variance of bioelectrical signals to assess neural activation levels.

Replacing subjective surveys with EEG measurements, the device removes low-significance portions of stimulus material for accurate compression.

An ophthalmic lens integrates neural frequency sensors and a controller to monitor brain activity in real time.

Weighted averaging of overlapping epochs stitches artifact-reduced segments into a continuous display, resolving discontinuities that hinder seizure analysis.

Flexible conductive element decouples snap movement from skin contact, preventing signal distortion during body motion.

A neural sensing microprobe uses segmented insulation to isolate conductive vias from skin layers.

Time-compressed scalp electroencephalography records baseline and continuous patterns to identify spreading depolarization features.

Differentiated electrical pulses bypass sensory perception to normalize nervous system function without adverse reactions.

A multi-channel synchronous collection system integrates EEG and fNIRS technologies for brain activity detection.

A fatigue determination system calculates actual work duration using biological signals and environmental data.

Dry electrodes in a hair band secure to the scalp via hair to reduce movement interference while enabling wireless data transmission.

A neurotrophic electrode cone houses a multi-channel assembly encased in a thin dielectric ribbon to expose recording sites.

An EEG analysis system builds cerebral network models from conditioned signals to extract quantitative features for brain condition classification.

A wireless wearable brain machine interface transfers neural signals between implanted and external modules.

Nested shielding structures isolate capacitive electrodes from external electromagnetic fields, reducing movement artefacts in biological signal measurements.

EEG pattern matching links brain activity to personal meanings via database comparison, resolving accuracy limits in non-invasive measurement.

Combining driver behavior with sensor inputs resolves reliability limits from narrow recognition ranges in complex environments.

A dual modality sensor merges a tissue-contact electrode with an overlying mechanical sensor to detect surface displacement.

Switchable contacts merge EEG and ECG functions into one housing, resolving the contradiction between functional versatility and circuit complexity.

A biological signal display apparatus renders evoked responses as bar-shaped images on a surgical microscope.

A cognitive digital assistant analyzes environmental sensor data to generate adaptive prompts for users with memory decline.