ArticleFrontiers in human neuroscience2021
Clinical Recognition of Sensory Ataxia and Cerebellar Ataxia.
Article in Frontiers in human neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- A Systematic Review of the Learning Dynamics of Proprioception Training: Specificity, Acquisition, Retention, and Transfer.Neurorehabilitation and neural repair · 2023Pooled it
- A Sensory Adaptation Program for Individuals With Mal de Débarquement Syndrome: A Case Series.Journal of neurologic physical therapy : JNPT · 2026Article
- Cervical myelopathy screening using in-shoe inertial measurement unit sensors and machine learning focusing on gait disturbance.European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society · 2026Article
- Limb Position Sense Across Multiple Proprioceptive Tasks in Healthy Adults.Annals of rehabilitation medicine · 2026Article
- Exploring motor variability in adults with severe athetoid or ataxic cerebral palsy: Impact on error-based and reward-based learning.PloS one · 2026Article
- Effect of hyperbaric oxygen therapy on ataxia: A case report.SAGE open medical case reports · 2025Article
- Personalized MRI-based characterization of subcortical anomalies in Ataxia-Telangiectasia using deep-learning.PloS one · 2025Article
- Neuroprotective Effects of Metformin Through AMPK Activation in a Neurotoxin-Based Model of Cerebellar Ataxia.Molecular neurobiology · 2024Article
- A missense mutation in theFrontiers in neuroscience · 2024Article
- Movement Disorders in Multiple Sclerosis: An Update.Tremor and other hyperkinetic movements (New York, N.Y.) · 2022Review
Corrections and comments
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Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ataxia is a kind of external characteristics when the human body has poor coordination and balance disorder, it often indicates diseases in certain parts of the body. Many internal factors may causing ataxia; currently, observed external characteristics, combined with Doctor's personal clinical experience play main roles in diagnosing ataxia. In this situation, different kinds of diseases may be confused, leading to the delay in treatment and recovery. Modern high precision medical instruments would provide better accuracy but the economic cost is a non-negligible factor. In this paper, novel non-contact sensing technique is used to detect and distinguish sensory ataxia and cerebellar ataxia. Firstly, Romberg's test and gait analysis data are collected by the microwave sensing platform; then, after some preprocessing, some machine learning approaches have been applied to train the models. For Romberg's test, time domain features are considered, the accuracy of all the three algorithms are higher than 96%; for gait detection, Principal Component Analysis (PCA) is used for dimensionality reduction, and the accuracies of Back Propagation (BP) neural Network, Support Vector Machine (SVM), and Random Forest (RF) are 97.8, 98.9, and 91.1%, respectively.
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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.