Electroencephalography TRIZ Cases
- Transcranial Stimulation Device Using EEG-Based Brain Injury Localization
Electroencephalography localizes brain dysfunction to guide transcranial stimulation, resolving diagnostic inaccuracy from subjective assessments.
- Self-Powered Biomedical Sensors with Hermetic Sealing
Hermetically sealed compartments protect printed batteries and electrolytes from humidity, extending shelf life to six months without special handling.
- Adaptive Hearing Evaluation Using Population Models
A probabilistic hearing ability model updates based on individual responses to optimize stimulus sequences.
- EEG Interface System with Facial and Ear Electrodes for HMD Control
Integrating electrodes into a head-mount display eliminates separate parietal attachment, maintaining measurement precision while improving ease of operation.
- Sensory Stimulator Sleep Stage Transition Control
A sensory stimulator guides brain activity into target ranges to facilitate sleep stage transitions.
- Biphasic Conductive Layer via Liquid Metal Alloying
Alloying liquid metal into a solid film creates percolating paths that resolve conductivity and stretchability trade-offs in thin interconnections.
- Emotion-Triggered Audio and Image Capture System
A system analyzes physiological data and voice audio to detect simultaneous emotional changes for automatic media capture.
- EEG Fatigue Detection Using Dry Electrodes and Spectral Analysis
A dry-contact EEG system classifies brain fatigue using spectral features from gamma, beta, theta, alpha bands.
- Brain Stimulation Volume Prediction Using Machine Learning
Machine learning models map electrophysiology data to predict optimal stimulation volumes, reducing trial-and-error sessions.
- EEG-Based Speech Intelligibility Assessment System
An EEG-based assessment system measures event-related potential components to identify specific auditory processing impairments without requiring user input.
- EEG Signal Denoising via Wavelet Packet Decomposition
Wavelet packet decomposition dynamically adjusts noise filtering for each time segment of an EEG signal, effectively handling varying noise patterns.
- Electrode Contact Quality Evaluation Circuitry
Automated impedance measurement replaces manual inspection to resolve the trade-off between ease of operation and connection precision.
- EEG Channel Selection for Cognitive Load Determination
Statistical learning extracts time-frequency features to identify valid EEG channels for cognitive load analysis.
- Uncomfortableness Threshold Estimation via EEG Event-Related Potentials
A system estimates uncomfortableness threshold values by measuring electroencephalogram signals and extracting event-related potential characteristics.
- Switching Circuit for Bioelectric Electrode Impedance Measurement
A switching arrangement and controller measure bioelectric electrode impedances without disconnecting electrodes from the amplifier.
- EEG Interface System Dynamic Flicker Adjustment for Intent Accuracy
An electroencephalogram interface system adjusts option flickering counts based on calculated certainty levels to confirm user intent.
- Collaborative Biosignal Analysis System
A biosignal analysis system transmits bioelectrical datasets between users to enable collaborative research and mental health insights.
- Electrogram Denoising via Wavelet Transform and ICA
Independent component analysis isolates non-stationary ocular and muscle artifacts from EEG signals, preserving relevant data without manual intervention.
- Cardiac-Triggered Neurological Therapy System
A medical device synchronizes cardiac and brain signals to deliver targeted neurological therapy.
- Disposable Electrode Assembly with Double Plunger Ejection
A disposable electrode assembly uses a double plunger system to eject the sensor from its holder for skin attachment.
- Mobile Device Sensor Baseline Monitoring for Behavioral Anomaly Detection
A mobile device monitoring system establishes individual behavioral baselines using built-in sensors to detect deviations from normal activity patterns.