PhysioNet 2018 Challenge: Sleep Arousal Detection PSG (Training)
…989 subjects (PSG signals only, no annotations) - Demographics: mean age 55 +/- 14…
- Participants
- 1983
- Channels
- 6 (other)
- Citations
- 91
- Size
- 401 GB
- Version
- v1.1.0
- Updated
- Jul 10, 2026
100 results for "signal entropy" · page 6 of 10 · ranked by relevance
…989 subjects (PSG signals only, no annotations) - Demographics: mean age 55 +/- 14…
…False ## Signal Processing - **Classifiers**: EM (Expectation-Maximization), LLP (Learning from Label Proportions…
…Low-frequency signal - HGA: High-gamma activity - BBS: Broadband signal Tasks: Chinese…
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 66-channel recordings (64 EEG + 1 EOG + 1 stim) at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.
…V - `signal_electrode`: Physical electrode name (E0-E15) - `reference`: bipolar **electrodes.tsv…
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
…If the N20 latency was >20 ms, we selected a signal window…
This dataset comprises EEG recordings from 24 participants across two related studies (2019 and 2021) investigating phoneme discrimination during concurrent transcranial magnetic stimulation (TMS) of motor and speech-related cortical regions. Participants listened to speech sounds—including single phonemes, phoneme pairs, and phoneme triplets (real and pseudowords)—and responded via button press, enabling exploration of articulation and coarticulation effects on neural speech decoding. The dataset supports research into cortical mechanisms underlying speech perception and motor cortex involvement in phoneme processing.
Imported from OpenNeuro ds004368
…Study neural signals, including event-related potentials and oscillations, alongside peripheral physiology…