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FoG-Finder: Real-time Freezing of Gait Detection and Treatment

PubMed(2023)10.1145/3580252.3586980Source: DataRank Database

FoG-Finder: Real-time Freezing of Gait Detection and Treatment is a research paper published in PubMed (2023). On theSindex it has a DataRank of 0. It has been cited 11 times.

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0DataRank · unranked

Scored on demand from live citation data

Open Access11 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (1 grants)Impact (FWCI 18.63)OA: goldTopics (16)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 (8)

Woosub Jung ORCID,GinaMari G. Blackwell ORCID,Abbott Pinney,Matthew Chen ORCID,Leslie Cloud ORCID

Live enrichment

PubMed:37736618 PMC:PMC10513482 OpenAlex:https://openalex.org/W4386944545

NIH (National Institutes of Health)

Grant: R01NS120560

FWCI

18.63

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

goldLicense: https://www.acm.org/publications/policies/copyright_policy#Background

https://dl.acm.org/doi/pdf/10.1145/3580252.3586980

publisherhttps://dl.acm.org/doi/10.1145/3580252.3586980

https://doi.org/10.1145/3580252.3586980

repositoryhttps://pubmed.ncbi.nlm.nih.gov/37736618

Fields of Study

Balance, Gait, and Falls PreventionCerebral Palsy and Movement DisordersMuscle activation and electromyography studies

Keywords

GaitGait analysisComputer scienceLatency (audio)Falling (accident)Physical medicine and rehabilitationFalse positive rateSimulationArtificial intelligenceMedicineNeural networksFreezing Of GaitWearable Devices

Sustainable Development Goals

SDG 0: Good health and well-being