NEurobehavioural predictiVE and peRsonalised Modelling of depressIve symptoms duriNg primary somatic Diseases with ICT-enabled self-management procedures

Información del proyecto

NEVERMIND

Identificador del acuerdo de subvención: 689691

Sitio web del proyecto

DOI

10.3030/689691

Proyecto cerrado

Fecha de la firma de la CE 11 Noviembre 2015

Fecha de inicio 1 Enero 2016

Fecha de finalización 30 Septiembre 2020

Financiado con arreglo a

SOCIETAL CHALLENGES - Health, demographic change and well-being

Coste total

€ 4 999 513,75

Aportación de la UE

€ 4 999 513,75

4 999 513,75

Coordinado por

UNIVERSITA DI PISA
Italy

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Resultado final

Fourth year Impact report

The reports will help track dissemination progress and measure impact.

Third year Impact report

The reports will help track dissemination progress and measure impact.

Project flyer

The project flyer will be supplemented by additional dissemination materials as the project progress and as defined by the dissemination plan.

First year Impact report

The reports will help track dissemination progress and measure impact.

Second year Impact report

The reports will help track dissemination progress and measure impact.

Dissemination and communication plan

The plan will be developed by M6 and will be updated yearly based on research progress and impacts.

Demonstration event

A demonstration event will be organised to create awareness and in view of supporting the commercialization phase.

Project website

A project website will be created as a platform for dissemination and communication.

Publicaciones

Recent Advances on Wearable Electronics and Embedded Computing Systems for Biomedical Applications

Autores: Enzo Scilingo, Gaetano Valenza
Publicado en: Electronics, Edición 6/1, 2017, Página(s) 12, ISSN 2079-9292
Editor: MDPI AG
DOI: 10.3390/electronics6010012

Assessment of linear and nonlinear/complex heartbeat dynamics in subclinical depression (dysphoria)

Autores: Alberto Greco, Simone Messerotti Benvenuti, Claudio Gentili, Daniela Palomba, Enzo Pasquale Scilingo, Gaetano Valenza
Publicado en: Physiological Measurement, Edición 39/3, 2018, Página(s) 034004, ISSN 1361-6579
Editor: IOP
DOI: 10.1088/1361-6579/aaaeac

Inhomogeneous Point-Processes to Instantaneously Assess Affective Haptic Perception through Heartbeat Dynamics Information

Autores: G. Valenza, A. Greco, L. Citi, M. Bianchi, R. Barbieri, E. P. Scilingo
Publicado en: Scientific Reports, Edición 6/1, 2016, Página(s) pp. 1-14, ISSN 2045-2322
Editor: Nature Publishing Group
DOI: 10.1038/srep28567

Predicting Mood Changes in Bipolar Disorder Through Heartbeat Nonlinear Dynamics

Autores: Gaetano Valenza, Mimma Nardelli, Antonio Lanata, Claudio Gentili, Gilles Bertschy, Markus Kosel, Enzo Pasquale Scilingo
Publicado en: IEEE Journal of Biomedical and Health Informatics, Edición 20/4, 2016, Página(s) 1034-1043, ISSN 2168-2194
Editor: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/JBHI.2016.2554546

Combining electroencephalographic activity and instantaneous heart rate for assessing brain?heart dynamics during visual emotional elicitation in healthy subjects

Autores: G. Valenza, A. Greco, C. Gentili, A. Lanata, L. Sebastiani, D. Menicucci, A. Gemignani, E. P. Scilingo
Publicado en: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Edición 374/2067, 2016, Página(s) 20150176, ISSN 1364-503X
Editor: Royal Society of London
DOI: 10.1098/rsta.2015.0176

Skin Admittance Measurement for Emotion Recognition: A Study over Frequency Sweep

Autores: Alberto Greco, Antonio Lanata, Luca Citi, Nicola Vanello, Gaetano Valenza, Enzo Scilingo
Publicado en: Electronics, Edición 5/3, 2016, Página(s) 46, ISSN 2079-9292
Editor: MDPI
DOI: 10.3390/electronics5030046

Self-reported Well-being Score Modelling and Prediction: Proof-of-Concept of an Approach based on Linear Dynamic Systems

Autores: X Li, R Poli, G Valenza, EP Scilingo, L Citi
Publicado en: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Editor: IEEE