Objective
The standard method of diagnosing sleep disorders involves the patient attending a sleep clinic overnight where he/she is hooked by trained specialists to bulky, uncomfortable wired sensors, and monitored during sleep; preferably supervised because the sensors tend to get de-attached and require repositioning. The raw signals are subsequently manually analysed by a medical expert, this taking over 2 hours. Occasionally, for certain diseases the patient is sent home with an ambulatory system which is able to provide a very limited amount of information and is only relevant to some disorders. The main limitation of ambulatory sleep monitoring is that neurophysiological channels (EEG, EMG and EOG) cannot be used in practice. These are however the only ones that can provide full information about the different sleep phases as well as certain sleep biomarkers which are indicative of disease. The lack of neurophysiological channels is due to the unpractically high number that is required to identify sleep phases (specifically REM) and the associated difficulty on attaching them. Additionally, they are very uncomfortable for the user because the sensors (electrodes on different places on the head) are connected by wires to bulky and heavy boxes which impair the quality of sleep.
This project will use state-of-the-art signal processing and hardware design techniques resulting from the PI’s ERC Starting Grant to create a novel, ultralow power, tiny, user friendly, and- for the first time- single channel EEG wearable technology for automatic monitoring of sleep, and diagnosis of sleep disorders. The technology will represent a major breakthrough because of, amongst others:
1. Its size− over 20 times lighter and 50 times smaller than any other existing system.
2. Its ease of use and comfortability, facilitated by the fact that will be just one-channel EEG.
3. Its accuracy in automatic sleep analysis, comparable to multiple channel (i.e. non wearable) systems.
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.
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.
- medical and health sciences clinical medicine psychiatry sleep disorders
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering signal processing
- medical and health sciences basic medicine neurology
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Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.1. - EXCELLENT SCIENCE - European Research Council (ERC)
MAIN PROGRAMME
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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.
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.
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.
ERC-POC - Proof of Concept Grant
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) ERC-2015-PoC
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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.
SW7 2AZ London
United Kingdom
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.