Voice_analysis_as_an_objective_state_marker_in_bipolar_disorder嗓音分析作为双相情感障碍的客观状态标志物

Voice_analysis_as_an_objective_state_marker_in_bipolar_disorder嗓音分析作为双相情感障碍的客观状态标志物

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时间:2019-08-08

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1、Downloadedfromorbit.dtu.dkon:07,2018VoiceanalysisasanobjectivestatemarkerinbipolardisorderFaurholt-Jepsen,M.;Busk,Jonas;Frost,M.;Vinberg,M.;Christensen,E.M.;Winther,Ole;Bardram,JakobEyvind;Kessing,L.V.Publishedin:TranslationalPsychiatryLinktoarticle,DOI:10.1038/tp.2016.123Publicationda

2、te:2016DocumentVersionPublisher'sPDF,alsoknownasVersionofrecordLinkbacktoDTUOrbitCitation(APA):Faurholt-Jepsen,M.,Busk,J.,Frost,M.,Vinberg,M.,Christensen,E.M.,Winther,O.,...Kessing,L.V.(2016).Voiceanalysisasanobjectivestatemarkerinbipolardisorder.TranslationalPsychiatry,6(7),[e856].DOI

3、:10.1038/tp.2016.123GeneralrightsCopyrightandmoralrightsforthepublicationsmadeaccessibleinthepublicportalareretainedbytheauthorsand/orothercopyrightownersanditisaconditionofaccessingpublicationsthatusersrecogniseandabidebythelegalrequirementsassociatedwiththeserights.•Usersmaydownloada

4、ndprintonecopyofanypublicationfromthepublicportalforthepurposeofprivatestudyorresearch.•Youmaynotfurtherdistributethematerialoruseitforanyprofit-makingactivityorcommercialgain•YoumayfreelydistributetheURLidentifyingthepublicationinthepublicportalIfyoubelievethatthisdocumentbreachescopy

5、rightpleasecontactusprovidingdetails,andwewillremoveaccesstotheworkimmediatelyandinvestigateyourclaim.OPENCitation:TranslPsychiatry(2016)6,e856;doi:10.1038/tp.2016.123www.nature.com/tpORIGINALARTICLEVoiceanalysisasanobjectivestatemarkerinbipolardisorder12311221MFaurholt-Jepsen,JBusk,MF

6、rost,MVinberg,EMChristensen,OWinther,JEBardramandLVKessingChangesinspeechhavebeensuggestedassensitiveandvalidmeasuresofdepressionandmaniainbipolardisorder.Thepresentstudyaimedatinvestigating(1)voicefeaturescollectedduringphonecallsasobjectivemarkersofaffectivestatesinbipolardisorderand

7、(2)ifcombiningvoicefeatureswithautomaticallygeneratedobjectivesmartphonedataonbehavioralactivities(forexample,numberoftextmessagesandphonecallsperday)andelectronicself-monitoreddata(mood)onillnessactivitywouldincreasetheaccuracyasamarkerofaffectivestates.Usingsmartphones,voicefeature

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