Opendata, web and dolomites

ESPS SIGNED

Epileptic Seizure Prediction System (ESPS) - Predicting and preventing epileptic seizures based on respiratory biofeedback & machine learning.

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 ESPS project word cloud

Explore the words cloud of the ESPS project. It provides you a very rough idea of what is the project "ESPS" about.

unpredictable    caretaking    independent    treatment    entering    predicting    pillars    intervention    prone    drugs    70    patient    therapies    respiratory    follow    seizures    introduction    pharmacological    obtain    disrupts    market    reduces    antiepileptic    saving    methodology    plan    nervous    desired    prediction    machine    lives    calculates    hospital    shift    week    algorithm    alone    time    care    hard    stress    intensity    introducing    epilepsy    14    analyzes    seizure    despite    injuries    regulatory    decades    health    patent    employment    changed    healthcare    boston    cure    onset    disorders    reliably    clinical    50m    structured    probability    trials    detection    sent    leave    preventive    life    staggering    elderly    causes    caused    alert    people    received    clinician    personalized    homecare    patterns    14b    business    house    innovation    caregiver    cycle    visits    learning    reducing    risks    disrupt    esps    majority    feasibility    personalize    children    burden    wearable    clinicians    ibreve    nature    shared    worldwide    patients    pending    hesitant    tracking    harvard    literally   

Project "ESPS" data sheet

The following table provides information about the project.

Coordinator
IBREVE LIMITED 

Organization address
address: GROUND FLOOR 8-9 MARINO MART FAIRVIEW
city: DUBLIN
postcode: D03 P590
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 Ireland [IE]
 Project website http://www.epilepsy.ibreve.com
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.3. (PRIORITY 'Societal challenges)
2. H2020-EU.2.3. (INDUSTRIAL LEADERSHIP - Innovation In SMEs)
3. H2020-EU.2.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies)
 Code Call H2020-SMEInst-2018-2020-1
 Funding Scheme SME-1
 Starting year 2019
 Duration (year-month-day) from 2019-07-01   to  2019-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    IBREVE LIMITED IE (DUBLIN) coordinator 50˙000.00

Map

 Project objective

Epilepsy is one of the most common nervous system disorders and affects more than 50M people worldwide. The majority of new-onset cases occur in elderly and children. Currently there is no cure for epilepsy. Although antiepileptic drugs can help, one third of all patients do not respond to any pharmacological intervention. This staggering number has not changed in decades, despite over 14 new therapies entering the market. The unpredictable nature of seizures causes the largest burden for patients as it literally disrupts their lives. Patients with several seizures a week are hesitant to leave the house & find it hard to obtain employment. Reliably predicting seizures enables an independent life for the patient and at the same time reduces healthcare costs caused by clinician visits, injuries & caretaking. iBreve’s new patent-pending wearable technology analyzes respiratory patterns in real-time, enabling market applications for seizure prediction, respiratory treatment & stress management. iBreve’s technology received interest from Harvard’s Boston Children’s Hospital to be included in clinical trials for seizure detection & prediction. The ESPS machine learning algorithm calculates seizure probability & intensity and if desired an alert is sent to the patient’s caregiver. The tracking and analysis of seizures can be shared with clinicians & allows to personalize treatment. Main objective of this feasibility study is the development of a comprehensive business plan to evaluate the opportunities & risks of introducing ESPS into the homecare market. All project activities follow the Healthcare Innovation Cycle methodology & are structured around 4 development pillars - Technology, Market & Business, Clinical and Regulatory. The introduction of ESPS is prone to disrupt the epilepsy market by reducing treatment costs per patient by up to 70%. Thus, saving 14B€ in health care costs in Europe alone and creating a major shift towards preventive & personalized treatment.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "ESPS" 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 "ESPS" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.3.;H2020-EU.2.3.;H2020-EU.2.1.)

TAPPXSSAI (2019)

Development of a system for automatic ad insertion into on-demand streaming video to provide new monetization mechanisms to the media industry

Read More  

PRIVATETRACK (2019)

PRIVATETRACK: Privacy-friendly, low-power intelligent room occupancy detection and people counting.

Read More  

COUNTMITMENT (2019)

NATURAL CAPITAL ACCOUNTANCY TO IMPROVE REPORTING AND ENVIRONMENTAL PERFORMANCE

Read More