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Assessing Cerebellar Disorders with Wearable Inertial Sensor Data Using Time-Frequency and Autoregressive Hidden Markov Model Approaches

Sensors(2022)10.3390/s22239454Source: DataRank Database

Assessing Cerebellar Disorders with Wearable Inertial Sensor Data Using Time-Frequency and Autoregressive Hidden Markov Model Approaches is a research paper published in Sensors (2022). On theSindex it has a DataRank of 0. It has been cited 13 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access13 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)Impact (FWCI 0.92)OA: goldTopics (48)IDs (PubMed, PMC, OpenAlex)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Anoopum S. Gupta ORCID,Karin Knudson ORCID

Live enrichment

PubMed:36502155 PMC:PMC9737930 OpenAlex:https://openalex.org/W3193841477

Ataxia-Telangiectasia Children’s Project, NIH

Grant: R01NS117826

Biogen (United States)

Grant: NA

National Institutes of Health

Grant: 5R01NS117826-04

A Computational Approach for Quantifying Motor Behaviors in Spinocerebellar Ataxias to Improve Early Detection of Motor Signs and Precisely Estimate Disease Severity and Disease Change

Biogen

FWCI

0.92

Citation Percentile

0.7%

Citation Trend

2022

2023

2024

2025

2026

goldLicense: cc-by

journalhttps://www.mdpi.com/1424-8220/22/23/9454/pdf?version=1670313162

publisherhttps://www.mdpi.com/1424-8220/22/23/9454/pdf?version=1670313162

publisherhttps://www.mdpi.com/1424-8220/22/23/9454/pdf

journalhttps://doi.org/10.3390/s22239454

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36502155

Fields of Study

Vestibular and auditory disordersGait Recognition and AnalysisBalance, Gait, and Falls Prevention03 medical and health sciences0302 clinical medicineHumansWearable Electronic DevicesMovementParkinson DiseaseCerebellar DiseasesAtaxia

MeSH Terms

Wearable Electronic DevicesAtaxiaCerebellar DiseasesHumansMovementParkinson Disease

Keywords

Autoregressive modelHidden Markov modelWearable computerInertial measurement unitComputer scienceSpeech recognitionArtificial intelligenceMathematicsStatisticsEmbedded systemHidden Markov modelsTime-frequency analysisAtaxiaBayesian NonparametricsWaveletsWearable SensorsImusFOS: Computer and information sciencesChemical technologyMovementParkinson DiseaseTP1-1185Statistics - ApplicationsArticleWearable Electronic DevicesCerebellar DiseasesQuantitative Biology - Neurons and CognitionFOS: Biological sciencesHumansNeurons and Cognition (q-bio.NC)Applications (stat.AP)

Sustainable Development Goals

SDG 0: Good health and well-being