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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.

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

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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