NEVERMINDProject reference: 689691
Funded under :
NEurobehavioural predictiVE and peRsonalised Modelling of depressIve symptoms duriNg primary somatic Diseases with ICT-enabled self-management procedures
Total cost:EUR 4 999 513,75
EU contribution:EUR 4 999 513,75
Topic(s):PHC-28-2015 - Self management of health and disease and decision support systems based on predictive computer modelling used by the patient him or herself
Call for proposal:H2020-PHC-2015-single-stageSee other projects for this call
Funding scheme:RIA - Research and Innovation action
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.
EU contribution: EUR 914 866,25
LUNGARNO PACINOTTI 43/44
EU contribution: EUR 501 878,75
CALLE RAMIRO DE MAEZTU 7 EDIFICIO RECTORADO
EU contribution: EUR 699 046,25
CO4 3SQ COLCHESTER
EU contribution: EUR 439 532,5
Via Giuseppe Verdi 8
EU contribution: EUR 520 753,75
Av. Prof. Egas Moniz
EU contribution: EUR 523 178,75
Nobels Vag 5
EU contribution: EUR 428 370
520 BIRCHWOOD BOULEVARD BIRCHWOOD
WA3 7QX WARRINGTON
EU contribution: EUR 472 511,25
EU contribution: EUR 499 376,25
VIA LUNGO IL FICARELLO 3