Trial reportPloS one2015
EEG Single-Trial Detection of Gait Speed Changes during Treadmill Walk.
Trial report in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed, 66 citations in OpenAlex.
- The role of virtual reality in improving motor performance as revealed by EEG: a randomized clinical trial.Journal of neuroengineering and rehabilitation · 2017Trial
- Effects of Optic Flow on Electrocortical Dynamics During Walking and Stepping Over Virtual Obstacles.The European journal of neuroscience · 2026Article
- The classification of walking and phases of gait using EEG: a scoping review.Journal of neuroengineering and rehabilitation · 2026Article
- Article
- Lateralized modulation of cortical beta power during human gait is related to arm swing.iScience · 2024Article
- Mobile neuroimaging: What we have learned about the neural control of human walking, with an emphasis on EEG-based research.Neuroscience and biobehavioral reviews · 2024Review
- Article
- Classifying Motion Intention of Step Length and Synchronous Walking Speed by Functional Near-Infrared Spectroscopy.Cyborg and bionic systems (Washington, D.C.) · 2021Article
- Hierarchical goal effects on center of mass velocity and eye fixations during gait.Experimental brain research · 2020Article
- Detecting self-paced walking intention based on fNIRS technology for the development of BCI.Medical & biological engineering & computing · 2020Article
- Faster Gait Speeds Reduce Alpha and Beta EEG Spectral Power From Human Sensorimotor Cortex.IEEE transactions on bio-medical engineering · 2020Article
- Pseudo-Online BMI Based on EEG to Detect the Appearance of Sudden Obstacles during Walking.Sensors (Basel, Switzerland) · 2019Article
- Trial-by-trial source-resolved EEG responses to gait task challenges predict subsequent step adaptation.NeuroImage · 2019Article
- Reduced premovement positivity during the stimulus-response interval precedes errors: Using single-trial and regression ERPs to understand performance deficits in ADHD.Psychophysiology · 2019Article
- Electrocorticographic Encoding of Human Gait in the Leg Primary Motor Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2018Article
- Pilot Study on Gait Classification Using fNIRS Signals.Computational intelligence and neuroscience · 2018Article
- Markov Switching Model for Quick Detection of Event Related Desynchronization in EEG.Frontiers in neuroscience · 2018Article
- Brain Oscillations in Sport: Toward EEG Biomarkers of Performance.Frontiers in psychology · 2016Review
- Analyzing EEG signals to detect unexpected obstacles during walking.Journal of neuroengineering and rehabilitation · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we analyse the electroencephalography (EEG) signal associated with gait speed changes (i.e. acceleration or deceleration). For data acquisition, healthy subjects were asked to perform volitional speed changes between 0, 1, and 2 Km/h, during treadmill walk. Simultaneously, the treadmill controller modified the speed of the belt according to the subject's linear speed. A classifier is trained to distinguish between the EEG signal associated with constant speed gait and with gait speed changes, respectively. Results indicate that the classification performance is fair to good for the majority of the subjects, with accuracies always above chance level, in both batch and pseudo-online approaches. Feature visualisation and equivalent dipole localisation suggest that the information used by the classifier is associated with increased activity in parietal areas, where mu and beta rhythms are suppressed during gait speed changes. Specifically, the parietal cortex may be involved in motor planning and visuomotor transformations throughout the online gait adaptation, which is in agreement with previous research. The findings of this study may help to shed light on the cortical involvement in human gait control, and represent a step towards a BMI for applications in post-stroke gait rehabilitation.
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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.