Opendata, web and dolomites

PREDESA SIGNED

Non-invasive technology for remote screening and personalised therapy of sleeping disorders: EU piloting and commercialisation project

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "PREDESA" data sheet

The following table provides information about the project.

Coordinator
NUKUTE OY 

Organization address
address: KIVIHARJUNTIE 11
city: OULU
postcode: 90220
website: n.a.

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 Finland [FI]
 Total cost 2˙499˙500 €
 EC max contribution 1˙749˙650 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-2-2016-2017
 Funding Scheme /SME-2
 Starting year 2017
 Duration (year-month-day) from 2017-11-01   to  2019-10-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    NUKUTE OY FI (OULU) coordinator 1˙749˙650.00

Mappa

 Project objective

Sleep apnea (SA) is not just a disease anymore, it is an epidemic affecting more than 500 million people globally. The number of SA patients is increasing rapidly, causing cardiovascular diseases, neurocognitive dysfunction, daytime sleepiness, motor vehicle accidents, etc.

SA is treatable, but the screening and care is not accessible for most people. Still, over 80% of SA-suffering patients are undiagnosed.

Currently, most of the SA diagnostics and therapy is based on complex and stationary technology, available only at clinical settings. Also, the current prevailing methods are invasive, expensive and unreliable. Waiting lists are long, nearly 40% of performed analysis fail and when once diagnosed, patients tend to ditch the treatment soon.

Nukute has a solution. We introduce a telemedicine ready technology that exceeds the current state-of-the-art technologies in analysis reliability, cost, therapy functions and user comfort. It is an excellent addition to expensive, stationary and error-prone polysomnography analysis and enables to extend SA screening service to wider patients´ audiences for 90% lower cost.

Our technology combines sensitive microphones and gravity-meters with advanced diagnostics software to identify and predict upcoming SA events. Our unique collar device can diagnose different types of sleep apnea by monitoring the patient´s breathing quality and the respiratory rate and profile. The integrated Therapy function is based on body conditioning. It sends small electric pulses to stimulate the throat muscles when apnea or snoring occurs, without waking up the patient. The HW is integrated with applications running on a smartphone, tablet or laptop.

The technology is already tested successfully against clinical equipment in Finnish hospitals. As a direct result of the project, Nukute will finalise the technology, ensure market clearance in EU and USA and are ready to start market introduction with Screening device from 2018.

 Work performed, outcomes and results:  advancements report(s) 

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "PREDESA" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

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

More projects from the same programme (H2020-EU.2.1.1.;H2020-EU.2.3.1.)

eyecontrol (2018)

EyeControl

Read More  

BioAhead (2017)

BioAhead – an innovative optimization algorithm for amino acid chain analytics

Read More  

scanvid (2017)

ScanVid - One-Click Integrated Access to Product-related Digital Content

Read More