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.

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

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.)

ERGOVIAkinematix (2018)

New wearable measurement devices for Industry 4.0 based on gaming motion-capture system

Read More  

VINOQUANT11SUPERPLUS (2019)

A digital based system for measuring, showing and regulation of the complexe system of wine feremtation with high precision via a Bluetooth -Refractometer, a Software and a Bluetooth Thermostat

Read More  

Click and Spray (2020)

A SIMPLER, CHEAPER AND EASIER TO RECYCLE AEROSOL CONTAINER

Read More