Matches in SemOpenAlex for { <https://semopenalex.org/work/W4387449230> ?p ?o ?g. }
Showing items 1 to 93 of
93
with 100 items per page.
- W4387449230 endingPage "12" @default.
- W4387449230 startingPage "1" @default.
- W4387449230 abstract "We employed wearable multimodal sensing (heart rate and triaxial accelerometry) with machine learning to enable early prediction of impending exertional heat stroke (EHS). US Army Rangers and Combat Engineers (N = 2,102) were instrumented while participating in rigorous 7-mile and 12-mile loaded rucksack timed marches. There were three EHS cases, and data from 478 Rangers were analyzed for model building and controls. The data-driven machine learning approach incorporated estimates of physiological strain (heart rate) and physical stress (estimated metabolic rate) trajectories, followed by reconstruction to obtain compressed representations which then fed into anomaly detection for EHS prediction. Impending EHS was predicted from 33 to 69 min before collapse. These findings demonstrate that low dimensional physiological stress to strain patterns with machine learning anomaly detection enables early prediction of impending EHS which will allow interventions that minimize or avoid pathophysiological sequelae. We describe how our approach can be expanded to other physical activities and enhanced with novel sensors." @default.
- W4387449230 created "2023-10-10" @default.
- W4387449230 creator A5004129655 @default.
- W4387449230 creator A5015825469 @default.
- W4387449230 creator A5018286855 @default.
- W4387449230 creator A5025168071 @default.
- W4387449230 creator A5028534820 @default.
- W4387449230 creator A5028550998 @default.
- W4387449230 creator A5032527149 @default.
- W4387449230 creator A5041345202 @default.
- W4387449230 creator A5042284505 @default.
- W4387449230 creator A5045133530 @default.
- W4387449230 creator A5049892627 @default.
- W4387449230 creator A5053786912 @default.
- W4387449230 creator A5067865457 @default.
- W4387449230 creator A5076381884 @default.
- W4387449230 creator A5076927036 @default.
- W4387449230 creator A5090765091 @default.
- W4387449230 date "2023-01-01" @default.
- W4387449230 modified "2023-10-18" @default.
- W4387449230 title "Early Prediction of Impending Exertional Heat Stroke with Wearable Multimodal Sensing and Anomaly Detection" @default.
- W4387449230 doi "https://doi.org/10.1109/jbhi.2023.3323014" @default.
- W4387449230 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/37812534" @default.
- W4387449230 hasPublicationYear "2023" @default.
- W4387449230 type Work @default.
- W4387449230 citedByCount "0" @default.
- W4387449230 crossrefType "journal-article" @default.
- W4387449230 hasAuthorship W4387449230A5004129655 @default.
- W4387449230 hasAuthorship W4387449230A5015825469 @default.
- W4387449230 hasAuthorship W4387449230A5018286855 @default.
- W4387449230 hasAuthorship W4387449230A5025168071 @default.
- W4387449230 hasAuthorship W4387449230A5028534820 @default.
- W4387449230 hasAuthorship W4387449230A5028550998 @default.
- W4387449230 hasAuthorship W4387449230A5032527149 @default.
- W4387449230 hasAuthorship W4387449230A5041345202 @default.
- W4387449230 hasAuthorship W4387449230A5042284505 @default.
- W4387449230 hasAuthorship W4387449230A5045133530 @default.
- W4387449230 hasAuthorship W4387449230A5049892627 @default.
- W4387449230 hasAuthorship W4387449230A5053786912 @default.
- W4387449230 hasAuthorship W4387449230A5067865457 @default.
- W4387449230 hasAuthorship W4387449230A5076381884 @default.
- W4387449230 hasAuthorship W4387449230A5076927036 @default.
- W4387449230 hasAuthorship W4387449230A5090765091 @default.
- W4387449230 hasConcept C119857082 @default.
- W4387449230 hasConcept C121332964 @default.
- W4387449230 hasConcept C127413603 @default.
- W4387449230 hasConcept C1276947 @default.
- W4387449230 hasConcept C12997251 @default.
- W4387449230 hasConcept C146978453 @default.
- W4387449230 hasConcept C149635348 @default.
- W4387449230 hasConcept C150594956 @default.
- W4387449230 hasConcept C154945302 @default.
- W4387449230 hasConcept C186379835 @default.
- W4387449230 hasConcept C26873012 @default.
- W4387449230 hasConcept C2780645631 @default.
- W4387449230 hasConcept C41008148 @default.
- W4387449230 hasConcept C54290928 @default.
- W4387449230 hasConcept C739882 @default.
- W4387449230 hasConceptScore W4387449230C119857082 @default.
- W4387449230 hasConceptScore W4387449230C121332964 @default.
- W4387449230 hasConceptScore W4387449230C127413603 @default.
- W4387449230 hasConceptScore W4387449230C1276947 @default.
- W4387449230 hasConceptScore W4387449230C12997251 @default.
- W4387449230 hasConceptScore W4387449230C146978453 @default.
- W4387449230 hasConceptScore W4387449230C149635348 @default.
- W4387449230 hasConceptScore W4387449230C150594956 @default.
- W4387449230 hasConceptScore W4387449230C154945302 @default.
- W4387449230 hasConceptScore W4387449230C186379835 @default.
- W4387449230 hasConceptScore W4387449230C26873012 @default.
- W4387449230 hasConceptScore W4387449230C2780645631 @default.
- W4387449230 hasConceptScore W4387449230C41008148 @default.
- W4387449230 hasConceptScore W4387449230C54290928 @default.
- W4387449230 hasConceptScore W4387449230C739882 @default.
- W4387449230 hasFunder F4320337345 @default.
- W4387449230 hasLocation W43874492301 @default.
- W4387449230 hasLocation W43874492302 @default.
- W4387449230 hasOpenAccess W4387449230 @default.
- W4387449230 hasPrimaryLocation W43874492301 @default.
- W4387449230 hasRelatedWork W2143820878 @default.
- W4387449230 hasRelatedWork W2667207928 @default.
- W4387449230 hasRelatedWork W2806741695 @default.
- W4387449230 hasRelatedWork W2912112202 @default.
- W4387449230 hasRelatedWork W3090300519 @default.
- W4387449230 hasRelatedWork W3189286258 @default.
- W4387449230 hasRelatedWork W3207797160 @default.
- W4387449230 hasRelatedWork W3210364259 @default.
- W4387449230 hasRelatedWork W4290647774 @default.
- W4387449230 hasRelatedWork W4300558037 @default.
- W4387449230 isParatext "false" @default.
- W4387449230 isRetracted "false" @default.
- W4387449230 workType "article" @default.