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

Total Cost €


EC-Contrib. €






 NEVERMIND project word cloud

Explore the words cloud of the NEVERMIND project. It provides you a very rough idea of what is the project "NEVERMIND" about.

speech    giving    disease    worsening    interactions    diseases    interact    amputation    preventive    play    serious    shirt    leg    home    mediating    psychosomatic    psychological    patients    collect    contributor    care    nevermind    diet    comorbidity    smartphone    personal    status    leaps    reduce    movement    symptoms    people    occurrence    time    conduct    center    feedback    predicting    progression    monitored    unburden    hygiene    health    empower    tools    severity    mental    patient    final    data    sleep    treatment    severe    monitoring    physiological    recurrence    illnesses    myocardial    lightweight    somatic    placing    lacking    infarction    lack    kidney    mood    running    suffer    seeking    strictly    trigger    minds    social    decision    alter    giant    physical    body    locally    healthcare    sign    onset    cancer    equipped    global    primary    therapy    depressive    encouraging    chronic    sensitized    vital    lifestyle    depression    medicine    market   

Project "NEVERMIND" data sheet

The following table provides information about the project.


Organization address
city: PISA
postcode: 56126

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Italy [IT]
 Project website
 Total cost 4˙999˙513 €
 EC max contribution 4˙999˙513 € (100%)
 Programme 1. H2020-EU.3.1.4. (Active ageing and self-management of health)
 Code Call H2020-PHC-2015-single-stage
 Funding Scheme RIA
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2020-06-30


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DI PISA IT (PISA) coordinator 914˙866.00
2    UNIVERSITY OF ESSEX UK (COLCHESTER) participant 599˙046.00
3    UNIVERSITA DEGLI STUDI DI TORINO IT (TORINO) participant 539˙532.00
4    KAROLINSKA INSTITUTET SE (STOCKHOLM) participant 523˙178.00
5    Associação para Investigação e Desenvolvimento da Faculdade de Medicina PT (Lisbon) participant 520˙753.00
7    SMARTEX S.R.L. IT (PRATO) participant 499˙376.00
8    GAIA AG DE (HAMBURG) participant 472˙511.00
9    INVENTYA LTD UK (WARRINGTON) participant 428˙370.00


 Project objective

Personal health systems for the management of chronic diseases have seen giant leaps in development over recent years. These systems offer vital sign monitoring and therapy delivery at home, focusing on the primary physical disease conditions. However, they do not provide support for early mood assessment or psychological treatment and lack a real-time comprehensive assessment of the patient’s mental status. Depression is the third leading contributor to global diseases, and depressive mood state is also considered to be strictly related to the onset or worsening of a severe primary somatic disease. Indeed effective preventive medicine related to the onset of depressive symptoms as a comorbidity and worsening factor of psychosomatic diseases such as myocardial infarction, leg-amputation, cancer, and kidney failure is lacking. NEVERMIND sets out to empower people who suffer from symptoms of depression related to a serious somatic disease by placing them at the center of their mental healthcare. Equipped with just a smartphone and a lightweight sensitized shirt, patients seeking care and treatment for their mental illnesses interact with these devices that collect data about their mental and physical health, to then get effective feedback. Lifestyle factors, i.e. diet, physical activity and sleep hygiene, play a significant mediating role in the development, progression and treatment of depression, and in NEVERMIND will be monitored by a real-time Decision Support System running locally on the patient’s smartphone, predicting the severity and onset of depressive symptoms, by processing physiological data, body movement, speech, and the recurrence of social interactions. The data will trigger a response encouraging the patient to conduct or alter activities or lifestyle to reduce the occurrence and severity of depressive symptoms. The final aim is to bring this system to the market, giving people the tools to control their depression and unburden their minds.


List of deliverables.
Second year Impact report Documents, reports 2020-01-20 17:39:26
Third year Impact report Documents, reports 2020-01-20 17:39:26
Project website Websites, patent fillings, videos etc. 2020-01-20 17:39:25
Dissemination and communication plan Documents, reports 2020-01-20 17:39:25
First year Impact report Documents, reports 2020-01-20 17:39:25
Project flyer Documents, reports 2020-01-20 17:39:25

Take a look to the deliverables list in detail:  detailed list of NEVERMIND deliverables.


year authors and title journal last update
List of publications.
2018 Alberto Greco, Simone Messerotti Benvenuti, Claudio Gentili, Daniela Palomba, Enzo Pasquale Scilingo, Gaetano Valenza
Assessment of linear and nonlinear/complex heartbeat dynamics in subclinical depression (dysphoria)
published pages: 34004, ISSN: 1361-6579, DOI: 10.1088/1361-6579/aaaeac
Physiological Measurement 39/3 2020-01-20
2017 X Li, R Poli, G Valenza, EP Scilingo, L Citi
Self-reported Well-being Score Modelling and Prediction: Proof-of-Concept of an Approach based on Linear Dynamic Systems
published pages: , ISSN: , DOI:
39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) 2020-01-20
2016 G. Valenza, A. Greco, C. Gentili, A. Lanata, L. Sebastiani, D. Menicucci, A. Gemignani, E. P. Scilingo
Combining electroencephalographic activity and instantaneous heart rate for assessing brain?heart dynamics during visual emotional elicitation in healthy subjects
published pages: 20150176, ISSN: 1364-503X, DOI: 10.1098/rsta.2015.0176
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374/2067 2020-01-20
2016 Alberto Greco, Antonio Lanata, Luca Citi, Nicola Vanello, Gaetano Valenza, Enzo Scilingo
Skin Admittance Measurement for Emotion Recognition: A Study over Frequency Sweep
published pages: 46, ISSN: 2079-9292, DOI: 10.3390/electronics5030046
Electronics 5/3 2020-01-20
2016 G. Valenza, A. Greco, L. Citi, M. Bianchi, R. Barbieri, E. P. Scilingo
Inhomogeneous Point-Processes to Instantaneously Assess Affective Haptic Perception through Heartbeat Dynamics Information
published pages: pp. 1-14, ISSN: 2045-2322, DOI: 10.1038/srep28567
Scientific Reports 6/1 2020-01-20
2017 Enzo Scilingo, Gaetano Valenza
Recent Advances on Wearable Electronics and Embedded Computing Systems for Biomedical Applications
published pages: 12, ISSN: 2079-9292, DOI: 10.3390/electronics6010012
Electronics 6/1 2020-01-20
2016 Gaetano Valenza, Mimma Nardelli, Antonio Lanata, Claudio Gentili, Gilles Bertschy, Markus Kosel, Enzo Pasquale Scilingo
Predicting Mood Changes in Bipolar Disorder Through Heartbeat Nonlinear Dynamics
published pages: 1034-1043, ISSN: 2168-2194, DOI: 10.1109/JBHI.2016.2554546
IEEE Journal of Biomedical and Health Informatics 20/4 2020-01-20

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The information about "NEVERMIND" are provided by the European Opendata Portal: CORDIS opendata.

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