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

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

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.

Coordinator

UNIVERSITA DI PISA

Address

Lungarno Pacinotti 43/44
56126 Pisa

Italy

Activity type

Higher or Secondary Education Establishments

EU Contribution

€ 914 866,25

Participants (8)

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UNIVERSIDAD POLITECNICA DE MADRID

Spain

EU Contribution

€ 501 878,75

UNIVERSITY OF ESSEX

United Kingdom

EU Contribution

€ 699 046,25

UNIVERSITA DEGLI STUDI DI TORINO

Italy

EU Contribution

€ 439 532,50

Associação para Investigação e Desenvolvimento da Faculdade de Medicina

Portugal

EU Contribution

€ 520 753,75

KAROLINSKA INSTITUTET

Sweden

EU Contribution

€ 523 178,75

INVENTYA LTD

United Kingdom

EU Contribution

€ 428 370

GAIA AG

Germany

EU Contribution

€ 472 511,25

SMARTEX S.R.L.

Italy

EU Contribution

€ 499 376,25

Project information

Grant agreement ID: 689691

Status

Ongoing project

  • Start date

    1 January 2016

  • End date

    31 December 2019

Funded under:

H2020-EU.3.1.4.

  • Overall budget:

    € 4 999 513,75

  • EU contribution

    € 4 999 513,75

Coordinated by:

UNIVERSITA DI PISA

Italy