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Can Home-Monitoring of Sleep Predict Depressive Episodes in Bipolar Patients?

dc.contributor.authorMariani, S.
dc.contributor.authorBianchi, A. M.
dc.contributor.authorBertschy, G.
dc.contributor.authorKosel, M.
dc.contributor.authorMigliorini, M.
dc.date.accessioned2022-02-18T10:56:16Z
dc.date.available2022-02-18T10:56:16Z
dc.identifier.citationMigliorini M., Mariani S., Bertschy G., Kosel M., Bianchi A. M. , "Can Home-Monitoring of Sleep Predict Depressive Episodes in Bipolar Patients?", 37th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC), Milan, İtalya, 25 - 29 Ağustos 2015, ss.2215-2218
dc.identifier.othervv_1032021
dc.identifier.otherav_c8ff48d2-7a78-403c-a2d9-eed5bc71ff72
dc.identifier.urihttp://hdl.handle.net/20.500.12627/180202
dc.description.abstractThe aim of this study is the evaluation of the autonomic regulations during depressive stages in bipolar patients in order to test new quantitative and objective measures to detect such events. A sensorized T-shirt was used to record ECG signal and body movements during the night, from which HRV data and sleep macrostructure were estimated and analyzed. 9 out of 20 features extracted resulted to be significant (p<0.05) in discriminating among depressive and non-depressive states. Such features are representation of HRV dynamics in both linear and non-linear domain and parameters linked to sleep modulations.
dc.language.isoeng
dc.subjectSinyal İşleme
dc.subjectBiyomedikal Mühendisliği
dc.subjectMühendislik ve Teknoloji
dc.subjectSignal Processing
dc.subjectGeneral Engineering
dc.subjectEngineering (miscellaneous)
dc.subjectBiomedical Engineering
dc.subjectElectrical and Electronic Engineering
dc.subjectMÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK
dc.subjectPhysical Sciences
dc.subjectBioengineering
dc.subjectBilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectMühendislik
dc.subjectMÜHENDİSLİK, BİYOMEDİKSEL
dc.titleCan Home-Monitoring of Sleep Predict Depressive Episodes in Bipolar Patients?
dc.typeBildiri
dc.contributor.departmentPolytechnic University of Milan , ,
dc.contributor.firstauthorID3382801


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