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UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)(2022)10.1109/embc48229.2022.9871090Source: DataRank Database

UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety is a research paper published in 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (2022). On theSindex it has a DataRank of 0. It has been cited 13 times.

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13 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)Impact (FWCI 5.41)OA: closedTopics (23)IDs (PubMed, OpenAlex)SDGs (2)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (0/2)

Interoperable (0/2)

Reusable (0/3)

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Authors (6)

Julia Halvorson-Phelan ORCID,Aisling O’Leary ORCID,Nick Cheney ORCID,Ellen W. McGinnis ORCID,Ryan S. McGinnis ORCID

Live enrichment

PubMed:36085630 OpenAlex:https://openalex.org/W4295444881

National Science Foundation

Grant: 2046440

CAREER: Platform for Characterizing Transdiagnostic Markers of Disease from Wearable and Mobile Technologies

National Institutes of Health

Grant: MH123031

FWCI

5.41

Citation Percentile

1.0%

Citation Trend

2023

2024

2025

2026

closedLicense: STM Policy #29

publisherhttp://xplorestaging.ieee.org/ielx7/9870821/9870822/09871090.pdf?arnumber=9871090

conferencehttps://doi.org/10.1109/embc48229.2022.9871090

repositoryhttps://pubmed.ncbi.nlm.nih.gov/36085630

https://doi.org/10.1109/EMBC48229.2022.9871090

Fields of Study

Heart Rate Variability and Autonomic ControlNeuroscience of respiration and sleepAttention Deficit Hyperactivity Disorder03 medical and health sciences0302 clinical medicine

MeSH Terms

Wearable Electronic DevicesAnxietyAnxiety DisordersFamilyHumansSuicide

Keywords

Wearable computerAnxietyComputer sciencePsychologyPhysical medicine and rehabilitationMedicinePsychiatrySuicideWearable Electronic DevicesHumansFamilyAnxiety Disorders

Sustainable Development Goals

SDG 3: 3. Good healthSDG 0: Good health and well-being

UVM KID Study: Identifying Multimodal Features and Optimizing Wearable Instrumentation to Detect Child Anxiety

FAIR Checklist

Authors (6)

Funding (2 grants)

Impact

Open Access

Topics