100 results for "amplitude depth" · page 10 of 10 · ranked by relevance
…denoting the anode/cathode labels, amplitude, pulse frequency, pulse width, and pulse…
This open-access hybrid brain-computer interface dataset combines simultaneous EEG and near-infrared spectroscopy (NIRS) recordings from 29 healthy subjects performing mental arithmetic and motor imagery tasks. Experiment B focuses on mental arithmetic (serial subtraction) versus rest conditions across six sessions with preprocessed data at 200 Hz sampling rate. The dataset includes comprehensive preprocessing (bandpass filtering, ICA-based artifact rejection, common average referencing) and serves as a benchmark for validating hybrid BCI approaches that integrate multimodal neuroimaging signals.
…Mean Amplitudes Cross-Validation ---------------- Method: training-test split Evaluation type: within_session…
…This dataset is unprecedented in its depth of characterization of a healthy…
A resting-state EEG dataset comprising 149 subjects (100 with Parkinson's disease and 49 healthy controls) recorded using a 64-channel BrainVision system. Participants were seated in a quiet environment with eyes open for two minutes of continuous recording. This dataset provides neurophysiological data suitable for investigating oscillatory brain activity and potential biomarkers associated with Parkinson's disease.
…denoting the anode/cathode labels, amplitude, pulse frequency, pulse width, and pulse…
…denoting the anode/cathode labels, amplitude, pulse frequency, pulse width, and pulse…
This dataset contains multimodal EEG-fNIRS recordings from patients undergoing general anesthesia. It was collected to study neurophysiological changes associated with anesthetic states, combining electrophysiological and hemodynamic measures. The data are provided in BIDS format to facilitate reuse and reproducible analysis.
…at 36 Hz and an amplitude modulated 40 Hz tone was played…
This dataset comprises 128-channel EEG recordings collected during a speech production paradigm designed to investigate neural correlates of overt, minimally overt, and covert speech. Participants produced one of five color words under each speech condition, with additional peripheral recordings including EOG, EMG, microphone, and display markers to support speech decoding analyses. The dataset includes both calibration sessions for decoder training and online sessions for real-time decoding evaluation.