ArticleMedical devices (Auckland, N.Z.)2020
Physiological Vibration Acceleration (Phybrata) Sensor Assessment of Multi-System Physiological Impairments and Sensory Reweighting Following Concussion.
Article in Medical devices (Auckland, N.Z.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06846047 (Therapeutic Effects of Electrical Vestibular Stimulation), which is not on this map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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.
Therapeutic Effects of Electrical Vestibular Stimulation (EVS) on Balance and Gait
Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Validity and Reliability of Methods to Assess Movement Deficiencies Following Concussion: A COSMIN Systematic Review.Sports medicine - open · 2023Pooled it
- Electrical vestibular stimulation to improve balance in older adults: a pilot randomized controlled trial.Journal of neuroengineering and rehabilitation · 2025Trial
- Analysis of balance in adults with chronic axial spinal pain receiving medial branch block or radiofrequency ablation procedures.PM & R : the journal of injury, function, and rehabilitation · 2026Article
- Quantifying Changes in Balance, Gait, Fall Risk, and Sensory Reweighting in Older Adults Following Multi-Session Electrical Vestibular Stimulation Therapy.Medical devices (Auckland, N.Z.) · 2026Article
- Potential for Wearable Sensor-Based Field-Deployable Diagnosis and Monitoring of Mild Traumatic Brain Injury: A Scoping Review.Sensors (Basel, Switzerland) · 2025Article
- Phybrata Digital Biomarkers of Age-Related Balance Impairments, Sensory Reweighting, and Intrinsic Fall Risk.Medical devices (Auckland, N.Z.) · 2025Article
- Quantifying unsupported sitting posture impairments in humans with cervical spinal cord injury using a head-mounted IMU sensor.Spinal cord · 2024Article
- Effect of test duration and sensor location on the reliability of standing balance parameters derived using body-mounted accelerometers.Biomedical engineering online · 2024Article
- Phybrata Sensors and Machine Learning for Enhanced Neurophysiological Diagnosis and Treatment.Sensors (Basel, Switzerland) · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo assess the utility of a head-mounted wearable inertial motion unit (IMU)-based physiological vibration acceleration ("phybrata") sensor to support the clinical diagnosis of concussion, classify and quantify specific concussion-induced physiological system impairments and sensory reweighting, and track individual patient recovery trajectories.
methodsData were analyzed from 175 patients over a 12-month period at three clinical sites. Comprehensive clinical concussion assessments were first completed for all patients, followed by testing with the phybrata sensor. Phybrata time series data and spatial scatter plots, eyes open (Eo) and eyes closed (Ec) phybrata powers, average power (Eo+Ec)/2, Ec/Eo phybrata power ratio, time-resolved phybrata spectral density (TRPSD) distributions, and receiver operating characteristic (ROC) curves are compared for individuals with no objective impairments and those clinically diagnosed with concussions and accompanying vestibular impairment, other neurological impairment, or both vestibular and neurological impairments. Finally, pre- and post-injury phybrata case report results are presented for a participant who was diagnosed with a concussion and subsequently monitored during treatment, rehabilitation, and return-to-activity clearance.
resultsPhybrata data demonstrate distinct features and patterns for individuals with no discernable clinical impairments, diagnosed vestibular pathology, and diagnosed neurological pathology. ROC curves indicate that the average power (Eo+Ec)/2 may be utilized to support clinical diagnosis of concussion, while Eo and Ec/Eo may be utilized as independent measures to confirm accompanying neurological and vestibular impairments, respectively. All 3 measures demonstrate area under the curve (AUC), sensitivity, and specificity above 90% for their respective diagnoses. Phybrata spectral analyses demonstrate utility for quantifying the severity of concussion-induced physiological impairments, sensory reweighting, and subsequent monitoring of improvements throughout treatment and rehabilitation.
conclusionPhybrata testing assists with objective concussion diagnosis and provides an important adjunct to standard concussion assessment tools by objectively ascertaining neurological and vestibular impairments, guiding targeted rehabilitation strategies, monitoring recovery, and assisting with return-to-sport/work/learn decision-making.
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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.