fNIRS Finger Tapping
…And also demonstrates how to convert measurements obtained using a NIRx device…
- Participants
- 5
- Size
- 47.4 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "Speech Production Measurement" · page 10 of 10 · ranked by relevance
…And also demonstrates how to convert measurements obtained using a NIRx device…
…electrooculography (4 channels), and inertial measurement unit recordings (6 channels: 3-axis…
This open-access EEG dataset comprises multi-session, multi-task recordings from 15 healthy participants performing resting state and graded difficulty levels of the MATB-II task. Acquired at 500 Hz using 62 active electrodes, the dataset includes 90 trials per participant across two sessions and is designed to support passive brain-computer interface research and mental workload estimation in neuroergonomic applications.
[ presented at variable stimulus onset asynchronies (60-600 ms). The dataset comprises 31-channel EEG recordings at 1000 Hz acquired with BrainProducts BrainAmp DC during an online closed-loop brain-computer interface experiment designed to optimize stimulation parameters using Bayesian optimization and random search strategies.
[ ## Abstract The perception and production of regular geometric shapes is a…
This dataset contains behavioral events and intracranial electrophysiology recordings from a delayed free recall task with closed-loop electrical stimulation delivered during encoding, guided by a classifier trained on encoding data. Participants studied lists of visually presented words, performed arithmetic distractor tasks, and then freely recalled the words. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, and represent a closed-loop stimulation extension of the FR1 and FR2 free recall datasets.
…Three behavioural tasks and neural measurements (EEG) using these stimuli. - Spontaneous dissimilarity…
This multimodal dataset comprises EEG, ECG, and pupillometry recordings from participants performing an n-back working memory task at four difficulty levels (1-back through 4-back). Data were collected using a combined mobile EEG+ECG system synchronized with a Pupil Labs eye tracker via Lab Streaming Layer, and converted from raw XDF recordings into BIDS format. The dataset is intended to support research on cognitive workload assessment across multiple physiological modalities.