Deep Learning for Automated Aortic Stenosis and Valvular Heart Disease Detection Using a Digital Stethoscope

Eko Devices, Inc., Oakland CA

Investigators

Linked publications, trials & patents

Abstract

Project? ?Summary/Abstract This? ?SBIR? ?Phase? ?I? ?project? ?will? ?develop? ?a? ?deep? ?learning-based? ?clinical? ?decision? ?support? ?algorithm for? ?identifying? ?aortic? ?stenosis? ?from? ?heart? ?sounds? ?recorded? ?using? ?the? ?Eko? ?Core? ?Digital Stethoscope.? ?This? ?screening? ?tool? ?will? ?help? ?to? ?decrease? ?the? ?number? ?of? ?patients? ?with? ?severe asymptomatic? ?aortic? ?stenosis? ?that? ?remain? ?undertreated? ?simply? ?because? ?the? ?condition? ?is? ?not diagnosed.? ?Auscultation? ?is? ?commonly? ?the? ?method? ?by? ?which? ?valvular? ?heart? ?disease? ?is? ?first detected,? ?but? ?cases? ?often? ?fail? ?to? ?be? ?referred? ?to? ?echocardiography? ?for? ?diagnosis? ?because clinicians? ?fail? ?to? ?detect? ?heart? ?murmurs,? ?particularly? ?in? ?noisy? ?or? ?rushed? ?environments.? ?To? ?address this? ?challenge,? ?Eko? ?had? ?developed? ?the? ?Core,? ?a? ?digital? ?stethoscope? ?attachment? ?that? ?can? ?be? ?added in-line? ?to? ?a? ?clinician?s? ?existing? ?stethoscope? ?that? ?amplifies? ?heart? ?sounds? ?and? ?streams? ?digitized phonocardiograms? ?to? ?a? ?smartphone,? ?tablet? ?or? ?personal? ?computer.? ?There,? ?the? ?signal? ?can? ?be analyzed? ?with? ?the? ?decision? ?support? ?algorithm? ?we? ?will? ?develop? ?as? ?part? ?of? ?this? ?project.? ?The? ?specific aims? ?of? ?this? ?study? ?are? ?(1)? ?to? ??collect? ?a? ?database? ?with? ?condition-specific? ?recording? ?labels? ?to enable? ?deep? ?learning? ?for? ?heart? ?sounds? ?though? ?clinical? ?data? ?collection? ?at? ?UCSF? ?and? ?(2)? ?to develop? ?and? ?evaluate? ?a? ?deep? ?convolutional? ?neural? ?network-based? ?algorithm? ?trained? ?on? ?the database.? ?By? ?integrating? ?this? ?deep? ?learning? ?algorithm? ?into? ?Eko?s? ?mobile? ?and? ?cloud? ?software platform,? ?currently? ?used? ?by? ?clinicians? ?at? ?over? ?700? ?institutions? ?worldwide,? ?we? ?anticipate? ?this algorithm? ?will? ?enable? ?more? ?accurate? ?screening? ?for? ?aortic? ?stenosis,? ?leading? ?to? ?earlier? ?diagnosis and? ?better? ?patient? ?outcomes.