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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

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 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.

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

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.

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

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