61 results for "kinesthetic imagination" · page 4 of 7 · ranked by relevance
[ dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
…Participants were asked to perform kinesthetic motor imagery rather than a visual…
Imported from OpenNeuro ds002578
…even drones by decoding motor imagination from electroencephalography (EEG). Large and uniform…
NEMAR Dataset nm000105: discrete_gestures - Discrete hand gesture detection from EMG
BCIComp2020UpperLimb is a preprocessed EEG dataset from BCI Competition 2020 Track 4 containing motor imagery recordings of three grasping tasks (cylindrical, spherical, lumbrical) from 15 healthy subjects across three sessions. The dataset comprises 60-channel EEG data sampled at 250 Hz with 450 trials per subject (150 trials per session across 3 sessions), designed to evaluate session-to-session transfer learning in brain-computer interface applications. Data were preprocessed with 60 Hz notch filtering and cue-aligned epoching, with the 4-second motor imagery window extracted for analysis.
…and right-handed hand-grip imagination tasks. First open dataset addressing left…
…them to use motor and kinesthetic information (i.e., vestibular input and…
This dataset contains simultaneous EEG, electrospinography (ESG), electroneurography (ENG), and electromyography (EMG) recordings from 26 healthy participants during resting state and various peripheral nerve stimulation paradigms (mixed and sensory nerve stimulation of median, tibial, and digital/toe nerves). The recordings aim to characterize somatosensory evoked potentials at the level of the spinal cord and cortex, enabling investigation of somatosensory processing across peripheral, spinal, and cortical levels. The study was pre-registered and organized according to the BIDS specification.