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

Informacje na temat projektu

NEVERMIND

Identyfikator umowy o grant: 689691

Strona internetowa projektu

DOI

10.3030/689691

Projekt został zamknięty

Data podpisania przez KE 11 Listopada 2015

Data rozpoczęcia 1 Stycznia 2016

Data zakończenia 30 Września 2020

Finansowanie w ramach

SOCIETAL CHALLENGES - Health, demographic change and well-being

Koszt całkowity

€ 4 999 513,75

Wkład UE

€ 4 999 513,75

4 999 513,75

Koordynowany przez

UNIVERSITA DI PISA
Italy

CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.

Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .

Rezultaty

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.

Publikacje

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

Autorzy: Enzo Scilingo, Gaetano Valenza
Opublikowane w: Electronics, Numer 6/1, 2017, Strona(/y) 12, ISSN 2079-9292
Wydawca: MDPI AG
DOI: 10.3390/electronics6010012

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

Autorzy: Alberto Greco, Simone Messerotti Benvenuti, Claudio Gentili, Daniela Palomba, Enzo Pasquale Scilingo, Gaetano Valenza
Opublikowane w: Physiological Measurement, Numer 39/3, 2018, Strona(/y) 034004, ISSN 1361-6579
Wydawca: IOP
DOI: 10.1088/1361-6579/aaaeac

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

Autorzy: G. Valenza, A. Greco, L. Citi, M. Bianchi, R. Barbieri, E. P. Scilingo
Opublikowane w: Scientific Reports, Numer 6/1, 2016, Strona(/y) pp. 1-14, ISSN 2045-2322
Wydawca: Nature Publishing Group
DOI: 10.1038/srep28567

Predicting Mood Changes in Bipolar Disorder Through Heartbeat Nonlinear Dynamics

Autorzy: Gaetano Valenza, Mimma Nardelli, Antonio Lanata, Claudio Gentili, Gilles Bertschy, Markus Kosel, Enzo Pasquale Scilingo
Opublikowane w: IEEE Journal of Biomedical and Health Informatics, Numer 20/4, 2016, Strona(/y) 1034-1043, ISSN 2168-2194
Wydawca: 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

Autorzy: G. Valenza, A. Greco, C. Gentili, A. Lanata, L. Sebastiani, D. Menicucci, A. Gemignani, E. P. Scilingo
Opublikowane w: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, Numer 374/2067, 2016, Strona(/y) 20150176, ISSN 1364-503X
Wydawca: Royal Society of London
DOI: 10.1098/rsta.2015.0176

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

Autorzy: Alberto Greco, Antonio Lanata, Luca Citi, Nicola Vanello, Gaetano Valenza, Enzo Scilingo
Opublikowane w: Electronics, Numer 5/3, 2016, Strona(/y) 46, ISSN 2079-9292
Wydawca: MDPI
DOI: 10.3390/electronics5030046

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

Autorzy: X Li, R Poli, G Valenza, EP Scilingo, L Citi
Opublikowane w: 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
Wydawca: IEEE