{"id":194,"date":"2017-06-09T10:31:56","date_gmt":"2017-06-09T10:31:56","guid":{"rendered":"http:\/\/www.ns.spinlabs.deib.polimi.it\/?page_id=194"},"modified":"2017-06-26T12:37:34","modified_gmt":"2017-06-26T12:37:34","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/research\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<style>\ntable, th, td {\n    border: 1px solid black;\n    border-collapse: collapse;\n}\nth, td {\n    padding: 5px;\n    text-align: left;\n}\n<\/style>\n<table>\n<tbody>\n<tr>\n<td style=\"text-align: center;\">TITOLO<\/td>\n<td style=\"text-align: center;\">DATA DI PUBBLICAZIONE<\/td>\n<td style=\"text-align: center;\">AUTORE<\/td>\n<\/tr>\n<tr>\n<td>Characterization of Depressive States in Bipolar Patients using Wearable Textile Technology and Instantaneous Heart Rate Variability Assessment<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1109\/JBHI.2014.2307584\">10.1109\/JBHI.2014.2307584<\/a><\/td>\n<td>gennaio 2015<\/td>\n<td>Valenza G, Citi L, Gentili C, Lanata\u2019 A, Scilingo EP, Barbieri R<\/td>\n<\/tr>\n<tr>\n<td>\u201cRelationships between Heart\u2013Rate Variability and Pulse\u2013Rate Variability obtained from video-PPG signal using ZCA\u201d<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1088\/0967-3334\/37\/11\/1934\">10.1088\/0967-3334\/37\/11\/1934<\/a><\/td>\n<td><em>November, 2016<\/em><\/td>\n<td>\u00a0L. Iozzia, L. Cerina, L. T. Mainardi<\/td>\n<\/tr>\n<tr>\n<td>\u201cPreliminary investigation of instantaneous cardiovascular dynamics from contactless video-photoplethysmography\u201d<\/td>\n<td><em>February, 2016<\/em><\/td>\n<td>\u00a0G. Valenza, L. Iozzia, L.T, Mainardi, R. Barbieri<\/td>\n<\/tr>\n<tr>\n<td>\u00a0 \u201cAssessment of beat-to-beat heart rate detection method using a camera as contactless sensor\u201d<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1109\/EMBC.2016.7590754\">10.1109\/EMBC.2016.7590754<\/a><\/td>\n<td>\u00a0<em>October,2016<\/em><\/td>\n<td>\u00a0L. Iozzia, L. Cerina, L. T. Mainardi<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/www.cinc2017.org\/\">\u00a0\u201cIdentification of Atrial Fibrillation Episodes Using a Camera as Contactless Sensor\u201d<\/a><\/td>\n<td>\u00a0In press<\/td>\n<td>\u00a0Corino, L. Iozzia, A. Mariani, G. D\u2019Alessandro, C. D\u2019Ettore, L. T. Mainardi<\/td>\n<\/tr>\n<tr>\n<td>\u00a0\u201cRespiratory Rate Detection Using a Camera as Contactless Sensor\u201d<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1109\/EMBC.2016.7590754\">10.1109\/EMBC.2016.7590754<\/a><\/td>\n<td><\/td>\n<td>\u00a0Iozzia, J. Lazaro, E. Gil, L. Cerina, D. Silvestri, L. T. Mainardi, P. Laguna<\/td>\n<\/tr>\n<tr>\n<td>\u00a0Construction and analysis of non-Poisson stimulus-response models of neural spike train activity<\/p>\n<p><a href=\"https:\/\/www.ncbi.nlm.nih.gov\/pubmed\/11166363\"><span class=\"highlight\">11166363<\/span><\/a><\/td>\n<td>\u00a030 gennaio 2001<\/td>\n<td>\u00a0Barbieri R, Quirk MC, Frank LM, Wilson MA, Brown EN<\/td>\n<\/tr>\n<tr>\n<td>Dynamic analyses of information encoding in neural ensembles<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1162\/089976604322742038\">10.1162\/089976604322742038<\/a><\/td>\n<td>16 febbraio 2004<\/td>\n<td>Barbieri R, Frank LM, Nguyen DP, Quirk MC, Solo V, Wilson MA, Brown EN<\/td>\n<\/tr>\n<tr>\n<td>Characterizing the dynamic frequency structure of fast oscillations in the rodent hippocampus<\/p>\n<p><a href=\"https:\/\/doi.org\/10.3389\/neuro.07.011.2009\">10.3389\/neuro.07.011.2009<\/a><\/td>\n<td>10 giugno 2009<\/td>\n<td>Nguyen DP, Kloosterman F, Barbieri R, Brown EN, Wilson MA<\/td>\n<\/tr>\n<tr>\n<td>Likelihood Methods for Point Processes with Refractoriness<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1162\/NECO_a_00548\">10.1162\/NECO_a_00548<\/a><\/td>\n<td>26 febbraio 2014<\/td>\n<td>Citi L, Ba D, Brown EN, Barbieri R<\/td>\n<\/tr>\n<tr>\n<td>Heart rate control and mechanical cardiopulmonary coupling to assess central volume: a systems analysis<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1152\/ajpregu.00127.2002\">10.1152\/ajpregu.00127.2002<\/a><\/td>\n<td>novembre 2002<\/td>\n<td>Barbieri R, Triedman JK, Saul JP<\/td>\n<\/tr>\n<tr>\n<td>A point process model of human heart rate intervals: new definitions of heart rate and heart rate variability<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1152\/ajpheart.00482.2003\">10.1152\/ajpheart.00482.2003<\/a><\/td>\n<td>16 settembre 2004<\/td>\n<td>Barbieri R, Matten EC, Alabi AA, Brown EN<\/td>\n<\/tr>\n<tr>\n<td>Point-process nonlinear models with Laguerre and Volterra expansions: instantaneous assessment of heartbeat dynamics<\/td>\n<td>2013<\/td>\n<td>Valenza G, Citi L, Scilingo EP, Barbieri R<\/td>\n<\/tr>\n<tr>\n<td>Point-process Nonlinear Autonomic Assessment of Depressive States in Bipolar Patients<\/p>\n<p><a href=\"https:\/\/doi.org\/10.3414\/ME13-02-0036\">10.3414\/ME13-02-0036<\/a><\/td>\n<td>27 giugno 2014<\/td>\n<td>Valenza G, Citi L, Gentili C, Lanata\u2019 A, Scilingo EP, Barbieri R<\/td>\n<\/tr>\n<tr>\n<td>Nonlinear digital signal processing in mental health: characterization of major depression using instantaneous entropy measures of heartbeat dynamics<\/p>\n<p><a href=\"https:\/\/doi.org\/10.3389\/fphys.2015.00074\"><span class=\"highlight\">10.3389\/fphys.2015.00074<\/span><\/a><\/td>\n<td>marzo 2015<\/td>\n<td>\u00a0Valenza G, Garcia R, Citi L, Scilingo EP, Tomaz C, Barbieri R<\/td>\n<\/tr>\n<tr>\n<td>Relationship between cardiac vagal activity and mood congruent memory bias in major depression<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1016\/j.jad.2015.09.075\">10.1016\/j.jad.2015.09.075<\/a><\/p>\n<p>&nbsp;<\/td>\n<td>13 ottobre 2015<\/td>\n<td>Garcia RG, Valenza G, Tomaz C, Barbieri R<\/td>\n<\/tr>\n<tr>\n<td>Brain Correlates of Autonomic Modulation: Combining Heart Rate Variability with fMRI<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1016\/j.neuroimage.2008.04.238\">10.1016\/j.neuroimage.2008.04.238<\/a><\/td>\n<td>2008<\/td>\n<td>Napadow V, Dhond RP, Conti G, Makris N, Brown EN, Barbieri R<\/td>\n<\/tr>\n<tr>\n<td>\u00a0Brain correlates of phasic autonomic response to acupuncture stimulation: an event-related fMRI study<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1002\/hbm.22091\">10.1002\/hbm.22091<\/a><\/td>\n<td>12 aprile 2014<\/td>\n<td>Napadow V, Lee J, Kim J, Cina S, Maeda Y, Barbieri R, Harris RE, Kettner N, Park K<\/td>\n<\/tr>\n<tr>\n<td>Brain Circuitry Supporting Multi-Organ Autonomic Outflow in Response to Nausea<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1093\/cercor\/bhu172\">10.1093\/cercor\/bhu172<\/a><\/td>\n<td>2014<\/td>\n<td>Sclocco R, Kim J, Garcia RG, Sheehan JD, Beissner F, Bianchi AM, Cerutti S, Barbieri R, Napadow V<\/td>\n<\/tr>\n<tr>\n<td>The somatosensory link in fibromyalgia: Functional connectivity of the primary somatosensory cortex is altered by sustained pain and is associated with clinical\/autonomic dysfunction<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1002\/art.39043\">10.1002\/art.39043<\/a><\/td>\n<td>2015<\/td>\n<td>Kim, J., Loggia, M.L., Cahalan, C.M., Harris, R.E., Beissner, F., Garcia, R.G., Kim, H., Barbieri, R., Wasan, A.D., Edwards, R.R., Napadow, V<\/td>\n<\/tr>\n<tr>\n<td>Brain Circuitry Supporting Multi-Organ Autonomic Outflow in Response to Nausea<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1093\/cercor\/bhu172\">10.1093\/cercor\/bhu172<\/a><\/td>\n<td>2016<\/td>\n<td>Sclocco, R., Kim, J., Garcia, R.G., Sheehan, J.D., Beissner, F., Bianchi, A.M., Cerutti, S., Kuo, B., Barbieri, R., Napadow, V<\/td>\n<\/tr>\n<tr>\n<td>Neuroimaging brainstem circuitry supporting cardiovagal response to pain: A combined heart rate variability\/ultrahigh-field<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1098\/rsta.2015.0189\">10.1098\/rsta.2015.0189<\/a><\/td>\n<td>2016<\/td>\n<td>Sclocco, R., Beissner, F., Desbordes, G., Polimeni, J.R., Wald, L.L., Kettner, N.W., Kim, J., Garcia, R.G., Renvall, V., Bianchi, A.M., Cerutti, S., Napadow, V., Barbieri, R<\/td>\n<\/tr>\n<tr>\n<td>Uncovering brain-heart information through advanced signal and image processing. Philosophical transactions<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1098\/rsta.2016.0020\">10.1098\/rsta.2016.0020<\/a><\/td>\n<td>2016<\/td>\n<td>Valenza G, Toschi N, and Barbieri R<\/td>\n<\/tr>\n<tr>\n<td>Characterization of affective states by pupillary dynamics and autonomic correlates<\/p>\n<p><a href=\"https:\/\/doi.org\/10.3389\/fneng.2013.00009\">10.3389\/fneng.2013.00009<\/a><\/td>\n<td>novembre 2013<\/td>\n<td>Onorati F, Barbieri R, Mauri M, Russo V, Mainardi L<\/td>\n<\/tr>\n<tr>\n<td>Revealing real-time emotional responses: A personalized assessment based on heartbeat dynamics<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1038\/srep04998\">10.1038\/srep04998<\/a><\/td>\n<td>marzo 2014<\/td>\n<td>Valenza G, Citi L, Lanata\u2019 A, Scilingo EP, Barbieri R<\/td>\n<\/tr>\n<tr>\n<td>A multivariate time-frequency method to characterize the influence of respiration over heart period and arterial pressure<\/td>\n<td>2012<\/td>\n<td>Orini M, Bailon R, Laguna P, Mainardi LT, Barbieri R<\/td>\n<\/tr>\n<tr>\n<td>A dynamic point process framework for assessing heartbeat dynamics and cardiovascular functions<\/td>\n<td>2015<\/td>\n<td>Chen, Z., Barbieri, R<\/td>\n<\/tr>\n<tr>\n<td>Nonlinear analysis of pupillary dynamics<\/p>\n<p><a href=\"https:\/\/doi.org\/10.1515\/bmt-2015-0027\">10.1515\/bmt-2015-0027<\/a><\/td>\n<td>2016<\/td>\n<td>Onorati, F., Mainardi, L.T., Sirca, F., Russo, V., Barbieri, R<\/td>\n<\/tr>\n<tr>\n<td>Preliminary Investigation of Instantaneous Cardiovascular Dynamics<\/td>\n<td>2016<\/td>\n<td>Valenza G, Iozzia L, Cerina L, Mainardi L, Barbieri R<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n","protected":false},"excerpt":{"rendered":"<p>TITOLO DATA DI PUBBLICAZIONE AUTORE Characterization of Depressive States in Bipolar Patients using Wearable Textile Technology and Instantaneous Heart Rate Variability Assessment 10.1109\/JBHI.2014.2307584 gennaio 2015 Valenza G, Citi L, Gentili C, Lanata\u2019 A, Scilingo EP, Barbieri R \u201cRelationships between Heart\u2013Rate Variability and Pulse\u2013Rate Variability obtained from video-PPG signal using ZCA\u201d 10.1088\/0967-3334\/37\/11\/1934 November, 2016 \u00a0L. Iozzia, &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/research\/publications\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Publications&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":40,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-194","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/wp-json\/wp\/v2\/pages\/194","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/wp-json\/wp\/v2\/comments?post=194"}],"version-history":[{"count":41,"href":"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/wp-json\/wp\/v2\/pages\/194\/revisions"}],"predecessor-version":[{"id":491,"href":"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/wp-json\/wp\/v2\/pages\/194\/revisions\/491"}],"up":[{"embeddable":true,"href":"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/wp-json\/wp\/v2\/pages\/40"}],"wp:attachment":[{"href":"https:\/\/www.ns.spinlabs.deib.polimi.it\/en\/wp-json\/wp\/v2\/media?parent=194"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}