Project description
A smart personalised diagnostics and therapeutic solution for sleep disordered breathing
Obstructive sleep apnea (OSA) is the most frequently encountered sleep disordered breathing disorder, associated with various health complications such as a high risk of heart disease, hypertension and daytime sleepiness. Despite its negative impact and various comorbidities, OSA remains poorly diagnosed and ineffectively treated. The EU-funded SLEEP REVOLUTION project is introducing an approach based on machine learning to assess OSA severity and treatment needs. Through a set of wearables and a digital management platform, the project aims to bring together researchers, patients and healthcare professionals to provide an up-to-date method of accurate OSA diagnosis and optimal treatment.
Objective
Obstructive sleep apnea (OSA) is associated with various negative health consequences including increased risk of heart disease, hypertension and daytime sleepiness causing road accidents. The economic burden of OSA is rising as almost 1 billion people worldwide are estimated to have OSA. The current diagnostic metric, however, relates poorly to these symptoms and comorbidities. It merely measures the frequency of breathing cessations without assessing OSA severity in any other physiologically relevant way. Furthermore, the clinical methods for analyzing PSG signals are outdated, expensive and laborious. Due to this, the majority of OSA patients remain without diagnosis or have an inaccurate diagnosis leading to sub-optimal treatment. Thus, it is evident that more personalized diagnostics are required including predictive and preventive health care and patient participation.
The SLEEP REVOLUTION aims to develop machine learning techniques to better estimate OSA severity and treatment needs to improve health outcomes and quality of life. These techniques are implemented to high-end wearables developed in this project to alleviate the costs and increase the availability of PSGs. Finally, we aim to design a digital platform that functions as a bridge between researchers, patients and healthcare professionals.
We will achieve these ambitious goals throughout extensive collaboration between sleep specialists, computer scientists and industry partners. The collaboration network consists of over 30 sleep centers working together to provide the needed retrospective data (over 10.000 sleep studies). The multi-center prospective trials involve experts and end-users to assess and validate the new SLEEP REVOLUTION diagnostic algorithms, wearables and platforms. With the commitment of the European Sleep Research Society and Assembly of National Sleep Societies (over 8000 members), we have the unique possibility to create new standardized guidelines for sleep medicine in the EU.
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Funding Scheme
RIA - Research and Innovation actionCoordinator
102 REYKJAVIK
Iceland
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Participants (38)
70211 KUOPIO
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4072 Brisbane
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1478 Lorenskog
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0313 Oslo
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51005 Tartu
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93059 Regensburg
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105 Reykjavik
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
101 Reykjavik
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
0154 Oslo
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
9000 Gent
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405 30 Goeteborg
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2650 Edegem
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10561 Athina
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10117 Berlin
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4 Dublin
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691 00 KOMOTINI
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38058 Grenoble
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74100 Rethimno
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35100 İzmir
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250 67 Klecany
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3000 Leuven
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1649-028 Lisboa
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55131 Mainz
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20145 Milano
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90133 Palermo
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27100 Pavia
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22927 Grosshansdorf
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
42699 Solingen
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546 36 THESSALONIKI
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300041 Timisoara
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20014 Turku
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20520 Turku
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21000 SPLIT
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01138 Warszawa
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4200-319 PORTO
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20144 Milano
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
70029 Kys
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9020-105 Funchal
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