Electroencephalography TRIZ Cases

Silk-fixed PEDOT-PSS fibers improve wet-state strength, conductivity, and biocompatibility for wearable and implantable biological electrodes.

Aortic pulse wave analysis compares frequency slope and fluctuation changes to detect driver sleepiness with fewer false alerts.

Time-division multiplexing and delta encoding cut recording channel area while suppressing artifacts and preserving high-precision biopotential capture.

A VCO-based phase ADC captures weak electrophysiological signals despite large non-stationary interferers without front-end saturation.

Formal concept analysis removes dependent data substreams to cut wireless transmission load while preserving zero-distortion reconstruction.

A feedback amplifier drives the EEG electrode array to cancel common average voltage, avoiding resistor balancing and improving common mode rejection.

BPBD compressive sensing with symmetric padding cuts wearable ECG and PPG data volume while preserving reconstruction quality and battery life.

Filtered positive feedback and a phantom impedance path let capacitive sensors capture EEG, EMG, and ECG signals without conductive contacts.

A wired implantable sensor and transponder split pressure sensing from telemetry to improve rodent blood pressure accuracy with lower stress and power use.

Physiological sensing drives real-time sound field adjustment, turning static audio playback into a more personalized listening experience.

A bootstrap input with common-mode cancellation raises impedance and suppresses RF and line noise for more accurate consciousness monitoring.

A capacitive path across the isolation barrier shunts radiated noise current, cutting leakage and common-mode voltage in medical amplifiers.

A multi-frequency chopping signal spreads DC offset, flicker noise, and ripple artifacts, easing filtering while preserving amplifier bandwidth.

Chopper modulation shifts low-frequency physiological signals away from 1/f noise, enabling cleaner amplification with lower power in implantable devices.

A capacitive path across the isolation barrier shunts noise current, cutting leakage and differential voltage in medical amplifiers.

SR-CMFB and active/guard reference buffering preserve neural amplifier CMRR across frequency while limiting power and circuit area.

Programmable negative capacitance cancels parasitic input loading, raising impedance for accurate dry-electrode EEG sensing.

Chronological noise-level tracking guides adaptive signal averaging, avoiding excessive summation and shortening biological signal tests.

A reversible amplifier and inverse digital filter restore distorted bioelectric signals for accurate wide-frequency monitoring.

Chopper modulation shifts biopotential signals away from 1/f amplifier noise, enabling one configurable circuit to measure impedance too.

Selecting chopper frequency and ADC sampling rate shifts spectral aggressors outside the target band, reducing noise in physiological signals.

Active filtering, galvanic isolation, and cross-barrier voltage sensing keep EEG and EMG signals reliable in high-frequency interference.

Dynamic bit-depth adjustment in SAR A/D conversion cuts cycle time and power while preserving needed resolution for implantable medical monitoring.

Physically unique EEG dictionaries isolate extracranial artifacts from neuronal signals, improving source localization during MRI recordings.

A test-frequency calibration loop adjusts active electrode gain mismatch to improve CMRR and preserve biopotential signal integrity.

A switched-capacitor HPF, open-loop chopper amplifier, and embedded gm-C LPF cut neural interface noise, power, and area.

A monitor classifies detection states from multiple health parameters to assign alarm statuses based on physiological relationships.

A determination system uses an ear hole electrode as a stable reference to measure voltage changes between the head and ear hole electrodes.

A processor segments cardiac signals using reference points derived from brain stimulation events to synchronize monitoring data.

A closed-loop brain stimulation system adjusts electrical parameters via real-time EEG monitoring to optimize neural states.

Positioning a grounding electrode between distinct modules establishes a defined return path that reduces noise interference and improves signal-to-noise ratio.

A fault-tolerant multielectrode array replaces faulty sensors with spare modules to maintain reliable brain activity monitoring.

Cluster mapping correlates neural activity with location metadata to generate personalized travel recommendations.

A physiological signal analysis system integrates expert opinions with automated processing to generate syndrome recognition parameters.

Dynamic scheduling adjusts signal analysis frequency based on neurological event susceptibility to conserve energy in medical devices.

Sulphonamide salt-based bio-electrodes maintain conductivity during drying, preventing water evaporation losses while ensuring skin biocompatibility.

An implantable neurostimulator correlates brain and cardiac signals to identify neurological events for timely therapy intervention.

EEG biofeedback adjusts quantitative EEG variables based on cognitive task correlations, improving memory by 1.78 standard deviations.

Protruding electrodes extend from a common base to contact non-planar surfaces, eliminating electrolyte gel application time and short circuit risks.

Hierarchical subspace pursuit algorithms localize neural currents in deep brain structures, resolving spatial resolution limits caused by signal attenuation.

An in-ear device integrates EEG electrodes and optical sensors to measure brain activity and blood oxygen levels.

Live Z-score analysis across multiple EEG channels normalizes brain rhythms, reducing adverse reactions from single-channel training instability.