Evaluating the Reliability of a Marker-Less, Digital Video Analysis Approach to Characterize Fire-fighter Trunk and Knee Postures During a Lift Task: A Proof-of-Concept Study

Abstract

See, stats, and : https : / / www . researchgate. net / publication / 295253757 Evaluating - Less , Digital Fire - fighter . . .ArticleDOI:10.4172/2165-7556.1000145CITATIONS0READS1122:Some:INTERDISCIPLINARY'DEFINITIONEVIDENCE-BASEDTheprojectKathrynLakehead12SEEJoyThe529,897SEEAll.The.All-textand,letting.AbstractBackground:Validandreliableposturalassessmenttoolscanbettersupportinjurypreventionstrategies.3-dimensionalmovementanalysisasthegoldstandardtoassesshumanmovementisoftennotfeasibleinapplied,occupationalsettings.Forexample,heavyliftingassociatedwithknowninjuryriskfactorsisimpactedwhenperformedbyfire-fighterswearingpersonalprotectiveequipment(PPE).TasksimulationsincludingPPEcomplicateposturalassessmentmethods.Consequently,thestudypurposeswere:a)Toestablishproof-of-conceptusingDartfishmovementanalysissoftwaretomeasurefire-fighters'trunkandkneeposturesduringafire-fightinglifttaskwhilewearingPPEandb)Toestablishthereliabilityofthisapproach.Methods:Asampleoftwelveactive-dutyfire-fightersliftedahigh-risepackfromfloortoshoulderlevel.FrontalandsagittaltrunkandkneeflexionanglesandhipverticaldisplacementweremeasuredusingDartfish.Allmeasurementswererepeatedonaseconddayforreliabilityanalysis.Descriptivestatisticscharacterizedfire-fighterlowerextremitypostures.Intra-classcorrelationcoefficients,standarderrorofmeasurementandminimaldetectablechangedeterminedreliabilityoftrunkandkneeanglesandhipdisplacementmeasures.