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Chronic Stress Biomarkers for Early Detection and Prevention of Burnout

Objective

In 2013, the costs of work-related depression in the EU-27 was estimated to be €617 billion annually , taking in account costs to employers resulting from absenteeism (€272 billion), loss of productivity (€242 billion), healthcare costs (€63 billion) and social welfare costs (€39 billion).

The project focuses on the early detection of work-related psychological stress resulting in negative health outcomes, such as burnout or depression.

• In phase 1, the project will validate the technical and commercial feasibility of a non-obtrusive smartphone-based solution able to detect stress based on the analysis of speech, sleep and typing behaviour. The project will establish the market interest (competitive analysis, willingness to pay) and recruit corporate organizations willing to participate to clinical trials in phase 2.

• In phase 2, the project will implement a clinical trial in order to demonstrate the validity of the existing solution prototype based on the stress biomarkers researched in phase 1. The solution will be tested with adult subjects against other known stress biomarker sensors.

One of the key innovations of the project is the use of speech analysis to evaluate chronic stress by using a dual approach: first, recognize stressed speech using two nonlinear feature models and second, recognize emotion profiles in order to assess mental resilience. The analysis follows a machine learning approach by identifying relevant features to build classifiers which are then trained on a suitable data set.

The platform built in this project will also be used to develop an ecosystem of partner companies (e.g. wearable suppliers, online coaching services) that can reuse SOMA Analytics algorithms inside their own product offerings, thus driving further European innovation in the area.

Fields of science (EuroSciVoc)

CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.

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Programme(s)

Multi-annual funding programmes that define the EU’s priorities for research and innovation.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-SMEInst-2014-2015

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Coordinator

SOMA ANALYTICS UG (HAFTUNGSBESCHRANKT)
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
VAGENERSTRASSE 10
83052 BRUCKMUHL
Germany

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Bayern Oberbayern Rosenheim, Landkreis
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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