Electroencephalography TRIZ Cases

An EEG assembly transmits alert data to an external device using near-field magnetic communication for visual presentation.

Multi-frequency signal processing isolates tissue resistance from amplifier bandwidth errors, enabling accurate therapy parameter determination.

Behind-ear sensor placement reduces headset weight and bulk, resolving the contradiction between measurement precision and ergonomic comfort.

Predictive stimulus sequences enable anticipatory timing diagnosis by measuring attention, fatigability, and distractibility metrics.

An elastic headband positions scalp electrodes automatically, eliminating manual adjustment requirements.

A medical device system compares brain signals to cardiopulmonary data using integrated monitoring elements and a processor.

Segmenting the circular buffer into priority levels preserves critical waveforms while overwriting less important data to prevent loss.

Fluorescent tracers replace microelectrode recordings to resolve spatial localization precision limits in deep brain stimulation procedures.

A computer-implemented method generates a precursor pattern detection model by extracting and filtering features from annotated monitoring data.

Flexible protrusions hold electromagnetic sensors on the forehead to detect brain activity, maintaining stable contact during ambulatory motion.

A measurement device integrates EEG and ECG signals using a shell with adjustable contacts.

A magnetic interface enables swappable electronics on a skin-contacting electrode patch, resolving adhesive trauma and signal consistency trade-offs.

Segmenting broadband oscillations into multiple sinusoidal components to retain full spectral structure lost by single-frequency collapse.

A multi-patient trained Support Vector Machine classifier processes EEG feature vectors to identify seizure events in real time.

A video control apparatus measures viewer brain activity to estimate perceived motion vectors and adjust display parameters.

Thermal curing replaces UV crosslinking to expand biocompatible material selection while maintaining manufacturing speed and precision.

Implantable system monitors neural biomarkers to adjust stimulation parameters, resolving variability in patient response.

Porous polymer substrates and flexible elastomeric films allow wearable patches to endure muscle movements while maintaining breathability.

A vascular navigation device delivers electrodes through cerebral veins to map brain activity.

A signal detection section measures event-related potential negative shifts to determine user confidence levels.

Pivoting panels conform to skull curvature while spring force ensures stable electrical coupling during self-administered neuromuscular stimulation.

A multi-parameter neural stimulation system identifies and reverses epileptogenic brain patterns.

Wearable EEG capture device records brain activity patterns to enable direct thought expression for users with physical disabilities or cognitive impairments.

A computer system generates internal impedance data using electrodes to detect abnormalities within a subject.

A subcutaneous signal processing unit analyzes EEG signals to detect hypoglycaemic attack precursors.

Spring groove and aperture clamp the fastening stud, reducing body thickness while maintaining secure bio-signal transfer.

A testing device tracks eye movements while color grids change dynamically to identify vision defects.

Transform multi-channel MEG data into orthogonal virtual channels using spherical harmonic decomposition to simplify source localization processing.

Inextensible elements with sliding expansion joints accommodate varying head sizes while biasing elements maintain sensor position accuracy.

Magnetic connectors enable easy sensor attachment on headgear, resolving signal quality issues caused by scalp contact discomfort.

A computer-based education system monitors brain activity to identify declining attention points and triggers dynamic presentation modifications.

A classification system filters somatosensory evoked potential recordings using median frequency and zero-crossing rate metrics to isolate clean signals for averaging.

A multiple-part cortical electrode assembly uses grommet-like structures to secure micro-wire arrays and depth electrodes within base aperture holes.

A conductive stiffener integrates with a flexible printed circuit board to transmit electrical signals directly from the skin.

A three-dimensional neural probe array aligns multiple planar silicon microelectrode arrays in an x, y, and z configuration.

A processor analyzes timing relationships between cardiac and neurological signals to identify matched events.

Two-dimensional EEG frames combine sensor measurements and calculated values for machine learning classification.

Segmenting EEG analysis into distinct feature modules resolves the contradiction between diagnostic accuracy and computational complexity.

Phase transition elements replace binary calculations to reproduce complex human brain determination processes while managing reaction timing.

A biofeedback system acquires biometric data and produces a value based on task correlation to control devices.