Electroencephalography TRIZ Cases

A safety grade calculating apparatus integrates gas sensor data with biometric information to determine a user's safety level.

Iteratively reweighted edge sparsity minimization estimates brain source distribution, eliminating background activity without subjective thresholding.

A neuroheadset detects brain signals to dynamically adjust therapeutic video game difficulty and environmental stimuli for real-time patient engagement.

A microelectrode array integrates electrical light sources on a flexible substrate to stimulate brain regions while measuring neural activity.

A wireless EEG head strap uses conductive threads and a docking station to transmit brain signals without wires.

Quantify frequency, duration, and intensity of network co-activation to objectively track Alzheimer's disease progression.

EEG frontal lobe gamma wave detection validates ipsative assessment integrity by correlating neural responses with self-reported answers.

A custom artificial bone casing houses implantable device electronics while filling the craniotomy site to reduce cable length and eliminate skin bulging.

Passive biometric sensors detect physiological signals to replace manual self-reporting, resolving bias and low compliance in user experience measurement.

A neurofeedback system calculates a prospective treatment frequency using a general-purpose computer to generate a therapeutic RF field.

Monitoring process segments EEG frequency bands to exclude EMG contamination when NMDA antagonists induce high frequency activity.

A detection system extracts activity primitives from multi-dimensional time series data to classify abnormal instances without prior knowledge.

A modular patient monitoring system uses a communication bus to link parameter and utility modules for scalable physiological data collection.

Segmented processing reduces power consumption while cushioning minimizes surgical risk, enabling accurate detection of ictal events.

Portable EEG monitoring device delivers voice messages directly into the ear canal via an acoustic transducer.

A neurophysiological control system generates test stimuli to elicit predetermined brain responses for verifying sensor and processing chain operability.

Semirigid telescopic structures in the positioning cap prevent elastomeric failure, ensuring stable electrode placement for active subjects.

AC drive signals assess electrode skin contact quality to prevent data collection interruptions during EEG recording.

An optimized weighting matrix in a micro electrode array resolves low spatial resolution caused by high mutual signal levels between adjacent electrodes.

Wireless nanowire electrodes detect biopotential signals for continuous physiological monitoring.

Single-trial EEG measurements update a user model of latent traits to adapt second language lessons based on cognitive responses.

Operational circuit decomposes maximum and minimum value matrices into components, enabling real-time remote monitoring without manual transmission.

Transparent graphene electrodes on flexible substrates allow simultaneous optogenetic stimulation and neural signal recording without blocking light.

A wearable system estimates sleep stages by analyzing physiological responses to sensory stimuli.

Nested conductive shield intercepts electrostatic fields from clothing and bedding, preventing capacitive coupling to low-intensity ECG signals.

A video capturing unit extracts pupil size variation signals to detect brain-heart connectivity parameters.

A biosignal electrode uses a protective barrier layer to transfer electrical signals while isolating the conductive substrate.

Dynamic template updating corrects EEG artifacts during fMRI scans despite head movement.

An EEG measurement apparatus extracts acoustic signal envelopes to estimate electrical noise mixed at proximity electrodes.

A consciousness index generated from symbolic mutual information and Kolmogorov symbolic complexity analysis of EEG signals.

Multiscale algorithms extract nonlinear features from EEG signals to identify epileptogenicity biomarkers.

Modular patient side units connect via a serial bus to a common Wilson terminal for reliable electrophysiological signal acquisition.

Segmenting the sensor module from the garment body allows manufacturers to use standard equipment, avoiding supply chain retooling costs.

A wearable brain stimulation device uses sensor-based wearing state detection to control electrode output.

A multichannel burst neuro-stimulation device delivers controlled stimuli to specific brain regions without resetting neuronal phase.

A seizure monitoring system identifies contra-ictal conditions using N-dimensional feature vectors from physiological signals.

Medical therapy system detects sleep stages to generate seizure probability metrics.

Implanted electrodes detect epileptiform activity and apply neurostimulation to language cortical regions, replacing drugs to avoid cognitive side effects.

A Bayesian nonparametric Markov switching process parses intracranial EEG data into dynamic event states for real-time seizure prediction.

Adaptive seizure detection system uses evolving parameter space envelopes to identify brain wave anomalies in real time.

A camera operating apparatus adjusts modes using wearable sensor bio-signals.

A tape spring carrier provides controlled stiffness to deploy neural probes into brain tissue while allowing the electrode array to flex with tissue movement.

A sensor data processing system classifies signal dynamics to select specific outlier detection methods for accurate information extraction.

Fusing EEG, REG, and NIRS signals enables non-invasive intracranial pressure monitoring, bypassing the need for skilled personnel and invasive procedures.

A system extracts unique brain signatures from EEG signals using eigenvectors and 4D visualization to identify individuals.

A closed-loop system adjusts learning schedules using real-time EEG decoding and targeted neuromodulation stimuli.

A biosignal electrode uses a hydrogel ion conductive member to transmit ionic current.

A sleep monitoring system uses microphones and sensors to track acoustic patterns during all sleep phases.

Wicking reservoir electrodes deliver conductive fluid through hair to the scalp, enabling reliable contact without manual gel application.