ArticleScientific data2018
Full body mobile brain-body imaging data during unconstrained locomotion on stairs, ramps, and level ground.
Article in Scientific data, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 35 citations in OpenAlex.
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- Enabling ambulatory movement in wearable magnetoencephalography with matrix coil active magnetic shielding.NeuroImage · 2023Article
- Simplified Markerless Stride Detection Pipeline (sMaSDP) for Surface EMG Segmentation.Sensors (Basel, Switzerland) · 2023Article
- A Non-Laboratory Gait Dataset of Full Body Kinematics and Egocentric Vision.Scientific data · 2023Article
- Review of public motor imagery and execution datasets in brain-computer interfaces.Frontiers in human neuroscience · 2023Review
- Characterizing and Removing Artifacts Using Dual-Layer EEG during Table Tennis.Sensors (Basel, Switzerland) · 2022Article
- The Effect of Body Composition on Gait Variability Varies with Age: Interaction by Hierarchical Moderated Regression Analysis.International journal of environmental research and public health · 2022Article
- Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running.Scientific data · 2021Article
- Lower-limb kinematics and kinetics during continuously varying human locomotion.Scientific data · 2021Article
- The Untapped Potential of Virtual Reality in Rehabilitation of Balance and Gait in Neurological Disorders.Frontiers in virtual reality · 2021Article
- GaiTRec, a large-scale ground reaction force dataset of healthy and impaired gait.Scientific data · 2020Article
- Dance on the Brain: Enhancing Intra- and Inter-Brain Synchrony.Frontiers in human neuroscience · 2020Article
- High-density EEG mobile brain/body imaging data recorded during a challenging auditory gait pacing task.Scientific data · 2019Article
- Multi-channel EEG recordings during a sustained-attention driving task.Scientific data · 2019Article
- Understanding Natural Cognition in Everyday Settings: 3 Pressing Challenges.Frontiers in human neuroscience · 2018Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Human locomotion is a complex process that requires the integration of central and peripheral nervous signalling. Understanding the brain's involvement in locomotion is challenging and is traditionally investigated during locomotor imagination or observation. However, stationary imaging methods lack the ability to infer information about the peripheral and central signalling during actual task execution. In this report, we present a dataset containing simultaneously recorded electroencephalography (EEG), lower-limb electromyography (EMG), and full body motion capture recorded from ten able-bodied individuals. The subjects completed an average of twenty trials on an experimental gait course containing level-ground, ramps, and stairs. We recorded 60-channel EEG from the scalp and 4-channel EOG from the face and temples. Surface EMG was recorded from six muscle sites bilaterally on the thigh and shank. The motion capture system consisted of seventeen wireless IMUs, allowing for unconstrained ambulation in the experimental space. In this report, we present the rationale for collecting these data, a detailed explanation of the experimental setup, and a brief validation of the data quality.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.