ArticleScientific reports2022
Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea).
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Artificial intelligence and machine learning in sports medicine: mapping clinical tasks and assessing clinical maturity - a scoping review.BMC medical informatics and decision making · 2026Article
- Exploring Dynamic Alpha Band Connectivity in Parkinson's Disease: A Novel Approach to Postural Control Assessment Using the BioVRSea Paradigm.Brain topography · 2026Article
- Assessing Brain Network Dynamics During Postural Control Task Using EEG Microstates.Brain topography · 2025Article
- Sensory integration processes characterize concussed athletes with balance deficits.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Leveraging Sensor Technology to Characterize the Postural Control Spectrum.Sensors (Basel, Switzerland) · 2024Article
- Assessment of Sports Concussion in Female Athletes: A Role for Neuroinformatics?Neuroinformatics · 2024Review
- Virtual Reality-Based Interventions to Improve Balance in Patients with Traumatic Brain Injury: A Scoping Review.Brain sciences · 2024Article
- Capability of Machine Learning Algorithms to Classify Safe and Unsafe Postures during Weight Lifting Tasks Using Inertial Sensors.Diagnostics (Basel, Switzerland) · 2024Article
- Being in Virtual Reality and Its Influence on Brain Health-An Overview of Benefits, Limitations and Prospects.Brain sciences · 2024Review
- sEMG Spectral Analysis and Machine Learning Algorithms Are Able to Discriminate Biomechanical Risk Classes Associated with Manual Material Liftings.Bioengineering (Basel, Switzerland) · 2023Article
- Center of Pressure Behavior in Response to Unexpected Base of Support Shifting: A New Objective Tool for Dynamic Balance Assessment.Sensors (Basel, Switzerland) · 2023Article
- 2023 Padua Days of Muscle and Mobility Medicine: post-meeting Book of Abstracts.European journal of translational myology · 2023Article
- Abstracts of the 2023 Padua Days of Muscle and Mobility Medicine (2023Pdm3) to be held March 29 - April 1 at the Galileian Academy of Padua and at the Petrarca Hotel, Thermae of Euganean Hills, Padua, Italy.European journal of translational myology · 2023Article
- Adaptation strategies and neurophysiological response in early-stage Parkinson's disease: BioVRSea approach.Frontiers in human neuroscience · 2023Article
- Motion sickness susceptibility and visually induced motion sickness as diagnostic signs in Parkinson's disease.European journal of translational myology · 2022Article
- Predicting postural control adaptation measuring EEG, EMG, and center of pressure changes: BioVRSea paradigm.Frontiers in human neuroscience · 2022Article
- Updated Review of Neurologic Concussion Biomarkers for Time-sensitive Point-of-care Testing.Journal of emergencies, trauma, and shockReview
Corrections and comments
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Authors and funding
17 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Current diagnosis of concussion relies on self-reported symptoms and medical records rather than objective biomarkers. This work uses a novel measurement setup called BioVRSea to quantify concussion status. The paradigm is based on brain and muscle signals (EEG, EMG), heart rate and center of pressure (CoP) measurements during a postural control task triggered by a moving platform and a virtual reality environment. Measurements were performed on 54 professional athletes who self-reported their history of concussion or non-concussion. Both groups completed a concussion symptom scale (SCAT5) before the measurement. We analyzed biosignals and CoP parameters before and after the platform movements, to compare the net response of individual postural control. The results showed that BioVRSea discriminated between the concussion and non-concussion groups. Particularly, EEG power spectral density in delta and theta bands showed significant changes in the concussion group and right soleus median frequency from the EMG signal differentiated concussed individuals with balance problems from the other groups. Anterior-posterior CoP frequency-based parameters discriminated concussed individuals with balance problems. Finally, we used machine learning to classify concussion and non-concussion, demonstrating that combining SCAT5 and BioVRSea parameters gives an accuracy up to 95.5%. This study is a step towards quantitative assessment of concussion.
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