Comparing pre- and post-sleep SSVEP responses determines sleep need dissipation without continuous EEG recording, eliminating sleep disruption artifacts.
A biosignal detection module monitors electroencephalogram signals to identify volitional patient inputs for adjusting therapy delivery parameters.
Apparatus acquires and compares electroencephalogram power in specific frequency bands from distinct head regions.
Segmenting daily step goals into hourly intervals generates targeted alerts that reduce prolonged sedentary periods without increasing hardware complexity.
A composite index combining EEG and EMG variability metrics to quantify analgesic state.
EEG-driven cardiac therapy suspends pacing during seizures, preventing unnecessary interventions that interfere with natural neurological responses.
Segmenting the visual field into regions with unique temporal frequencies enables simultaneous assessment of deficits while reducing testing duration.
Co-registering EEG source localization with resting state functional MRI creates a detailed 3D brain network map to guide precise surgical resection planning.
A control unit analyzes sensor signals to generate output signals directing users to modify voluntary breathing actions.
An evaluation system extracts event-related potential information from electroencephalogram signals to estimate user uncomfortable sound pressure levels.
A complex auditory brainstem response analysis system extracts neural timing and spectral features to predict literacy skills in pre-readers.
A method estimates cerebral sources using small EEG channels augmented with synthetic data for 3D imaging.
Service providing system detects user answers via event-related potentials, enabling study assistance when hands are occupied.
A trained pattern classifier processes scalp EEG signals to generate multidimensional visual representational spaces for image reconstruction.
A hydrogel medical electrode incorporates active agents to deliver thermal sensations upon skin contact.
Computing covariance patterns from slow cortical potentials identifies functional brain areas without awake surgery or direct electrical stimulation.
A rehabilitation system updates training intensity using brain activity and motion state measurements.
Spectral analysis of TEOAE frequency components replaces simple level comparisons, enabling reliable automated detection while reducing test duration.
A parameter determination apparatus compares patient neurograms with normal references to identify optimal frequency bands for hearing devices.
Camera-based photoplethysmography captures biometric signals to generate adaptive music.
A noncontact vision system measures cognitive fatigue by extracting task-evoked pupillary response from pupil images.
A control device verifies magnetic assembly identifiers to authorize transcranial magnetic stimulation treatments.
A cerebral electromagnetic analysis method calculates phase synchronism between sensors to map neural interactions.
A matching system compares electroencephalogram scaling indices with music long-range correlation values to identify compatible audio files automatically.