Opendata, web and dolomites

Quipu Cloud

A suite of software applications hosted in the cloud for medical ultrasound diagnostics

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

Project "Quipu Cloud" data sheet

The following table provides information about the project.

Coordinator
QUIPU SRL 

Organization address
address: VIA GIUSEPPE MORUZZI 1
city: PISA
postcode: 56124
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 Italy [IT]
 Project website http://www.quipu.eu/
 Total cost 71˙429 €
 EC max contribution 50˙000 € (70%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
2. H2020-EU.2.3.1. (Mainstreaming SME support, especially through a dedicated instrument)
 Code Call H2020-SMEINST-1-2016-2017
 Funding Scheme SME-1
 Starting year 2017
 Duration (year-month-day) from 2017-08-01   to  2017-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    QUIPU SRL IT (PISA) coordinator 50˙000.00

Map

 Project objective

Medical Ultrasound today is considered as a mainstream technology in the medical sector. It is largely associated with prenatal care to access the health of a baby in its mother’s womb but that is only a small percentage of its overall usage. Apart from Obstetrics, Medical Ultrasound is used in Cardiology, Neurology, Ophthalmology and many more clinical fields. Traditionally, ultrasound scanners where totally combined units including the ultrasound hardware, software and user interface in one unit. Quipu is changing this model by separating the software from the hardware.

Quipu introduces the concept of an app-store for ultrasound scanners. Through our system hospitals can make use of lower to mid-range scanners to get the diagnostic functionality of high end scanners. During the last 3 years we have developed a Suite of ultrasound diagnostic applications focused in the Cardiology segment of ultrasound diagnostics. Currently the software is installed on a laptop or computer and the ultrasound scanner is connected directly to the computer or laptop. The user simply launches our suite of applications, selects the diagnostic application required, starts the scan and the software will automatically provide the metrics of the analysis and store the scans and results for later use. We have successfully sold our software to clients in Europe, USA and Africa.

During this last year we have been working on improving integration and interoperability across a wide range of ultrasound scanners through a cloud based infrastructure. We have developed a TRL 6 prototype of Quipu Cloud based on a set of cloud services and special hardware that works with a wide range of ultrasound scanners. Quipu Cloud improves integration and makes it easier to share resources and data with peers. Through this PH1 we would like to study further the feasibility behind this concept and develop a business plan around this kind of service we will be offering to our clients.

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

More projects from the same programme (H2020-EU.2.1.1.;H2020-EU.2.3.1.)

Assist (2015)

Telocate ASSIST – Development and marketing of an acoustic solution for localization and navigation of people in buildings using the smartphone

Read More  

Enterprise BIM (2017)

Enterprise BIM digitization platform feasibility verification

Read More  

Leaf Line (2018)

The First Global Ground Station Network to Fully Exploit Microsatellites Data

Read More