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Excellent Science INNOVATION
Miniature telemetry implanted sensors for hemodynamic parameters
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Market Maturity: Exploring
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Market Creation Potential
This innovation was assessed by the JRC’s Market Creation Potential indicator framework as having a Noteworthy” level of Market Creation Potential. Only innovations that are showing multiple signals of market creation potential are assigned a value under this indicator system. Learn more
Go to Market needs
Needs that, if addressed, can increase the chances this innovation gets to (or closer to) the market incude:
  • Prepare for Market entry
Location of Key Innovators developing this innovation
Key Innovators
UN Sustainable Development Goals(SDG)
This innovation contributes to the following SDG(s)
SUSTAINABLE DEVELOPMENT GOAL 3
Ensure healthy lives and promote well-being for all at all ages

The UN explains: "Significant strides have been made in increasing life expectancy and reducing some of the common killers responsible for child and maternal mortality.

Major progress has also been made on increasing access to clean water and sanitation, reducing malaria, tuberculosis, polio and the spread of HIV/AIDS.

However, many more efforts are needed to control a wide range of diseases and address many different persistent and emerging health issues."

The EU-funded Research Project
This innovation was developed under the Horizon 2020 project CResPace with an end date of 31/12/2022
  • Read more about this project on CORDIS
Description of Project CResPace
This consortium will pioneer disruptive technology for bio-electronic medicine to provide much needed therapies for cardiorespiratory and functional neurological disease. The technology implements small neural networks known as central pattern generators (CPG) to deliver fit-and-forget bio-electronic implants that respond to physiological feedback in real time, are safer, simpler, non-invasive, and have autonomy exceeding the patient lifespan. Multichannel neurons will be made to compete on analogue chips to obtain flexible motor sequences underpinned by a wide parameter space. By building large scale nonlinear optimization tools and using them to assimilate electrophysiological data, we will develop a method for automatically finding the network parameters that accurately reproduce biological motor sequences and their adaptation to multiple physiological inputs. In this way, we will have resolved the issue of programming analogue CPGs which has long been the obstacle to using neural chips in medicine. An adaptive pacemaker will be constructed, tested, validated and trialled on animal models of atrio-ventricular block and left bundle branch block to demonstrate the benefits of heart rate adaptation, beat-to-beat cardiac resynchronization and respiratory sinus arrhythmia. By providing novel therapy for arrhythmias, heart failure and their comorbidities such as sleep apnoea and hypertension, CResPace will extend patients’ life and increase quality of life.

Innnovation Radar's analysis of this innovation is based on data collected on 09/03/2020.
The unique id of this innovation in the European Commission's IT systems is: 19184