Opendata, web and dolomites

DynapIP

Innovative and ultra-low power neuromorphic unit for advanced signal processing in wearable medical devices

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 DynapIP project word cloud

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

ecg    220m    eog    graphic    plan    client    pathological    battery    validation    100uw    proper    biosensors    lt    cpus    computers    generates    partners    emg    extremely    raw    monitoring    constant    offers    accurate    processors    gpus    healthcare    dsps    variety    signal    pilot    biological    accuracy    integration    100w    innovation    automatically    found    continuous    signals    optimize    normally    events    medical    biosignal    power    faster    50m    gt    adverse    biomarkers    diagnosis    consumption    synapses    extract    data    feasibility    implying    processed    software    drafted    central    digital    microprocessors    perform    months    limitations    life    health    personalized    hardware    eeg    stored    chip    sensory    neuromorphic    nowadays    fundamental    clinical    chronic    specialized    dynapip    meet    population    units    time    aictx    input    wearable    strategy    sophisticated    react    100ms    neuron    captured    amounts    self    customized    secured    detection    live    market    modules    worldwide   

Project "DynapIP" data sheet

The following table provides information about the project.

Coordinator
AICTX AG 

Organization address
address: THURGAUERSTRASSE 40
city: ZURICH
postcode: 8056
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 Switzerland [CH]
 Project website https://aictx.ai/
 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 2019-06-01   to  2019-09-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    AICTX AG CH (ZURICH) coordinator 50˙000.00

Map

 Project objective

Nowadays, ~220M of the worldwide population of which over 50M only in EU, currently live with more than one chronic condition. Early and accurate detection of adverse events are fundamental for proper clinical management. To meet this need, the healthcare system is becoming increasingly personalized with the help of self-health monitoring systems and in particular medical wearable devices. However, constant monitoring generates large amounts of raw data which must be stored and processed to extract pathological biomarkers. Normally, this is done using microprocessors commonly found in computers as central processing units (CPUs) or graphic processing units (GPUs), or on specialized microprocessors such as digital signal processors (DSPs) that have some limitations as implying high power consumption (>100W) and no real time signal processing. aiCTX offers DynapIP, a neuromorphic chip with extremely long battery life (3 months) and low-power consumption (<100uW) able to perform sophisticated signal processing and react to sensory input in real-time enabling continuous monitoring and real time analysis of biological signals captured by wearable medical devices. The hardware can be fully customized based on client needs and these approaches can be applied to a wide variety of biosensors, such as ECG, EOG, EMG and EEG. Wearable devices using DynapIP automatically identify in real-time (less than 100ms) pathological events with high accuracy facilitating faster and immediate diagnosis for healthcare personnel. During the feasibility assessment, a go-to-market strategy will be established, as well as further development plan will be drafted. During the innovation project, aiCTX will optimize the existing neuron/synapses hardware modules for different biosensors and the software integration to support the new hardware modules of the DynapIP. Pilot study for validation of biosignal analysis and functionality of the technology will be conducted together with secured partners

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "DYNAPIP" 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 "DYNAPIP" 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.)

Savesight (2020)

Contact lens embedded sensor for ocular hypertension and glaucoma monitoring

Read More  

DetectInMen (2019)

Infection detection in human semen

Read More  

Path Feel (2019)

Insoles for Neuropathy and Balance Issues

Read More