Nevermind App

"NEVERMIND, I can handle this."

Smart shirt and mobile app solution for depression self management.

Vital Sign Monitoring

Voice, activity index, sleep patterns, electrodermal response, biochemical markers help us to identify and predict changes in pathological mental states.

Decision Support via App

Real-time inference of the patient’s mental state and best interventions chosen through highly personalised models and consequent provision of real-time feedback.

Real Results

Nevermind helps patients to cope with daily stressful situations with clarity and calm.

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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.

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Centro di Ricerca “E. Piaggio” – Università di Pisa

The Centro di Ricerca “E. Piaggio” was founded in 1962 as an interdisciplinary branch of the Engineering School with the aim of carrying out industry-driven research. Over the years the Center has created a reputation as being a formidable player in leading state-of-the-art research in different fields of Engineering, including Bioengineering.

The Bioengineering group coordinating the Nevermind Project is developing wearable systems that monitor physiological signals and behavioural parameters. The research is focused specifically on statistical and non-linear biomedical signal processing, modelling of cardiovascular and neural systems as well as embedded multi-parametric computing. Results achieved in the recent years have been exploited in the fields of mental health, assessment of autonomic nervous system dynamics, affective computing, disorders of consciousness, computing and computational neuroscience.


Call: H2020-PHC-2014-2015/H2020-PHC-2015-single-stage

Grant Agreement number: 689691

Action acronym: NEVERMIND

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

Topic: Self-management of health and disease and decision support systems based on predictive computer modelling used by the patient him or herself

Type of action: Research and Innovation action


  • The Kick-off meeting was held at the University of Pisa on January 20-21, 2016

  • The NEVERMIND consortium met at Inventya on January 18-20, 2017 in Manchester, UK.

  • A second consortium meeting was held June 13-14, 2016 at Karolinska Institutet in Stockholm.


NEVERMIND has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 689691.