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Adaptive Bio-electronics for Chronic Cardiorespiratory Disease

Total Cost €


EC-Contrib. €






 CResPace project word cloud

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

programming    flexible    feedback    building    quality    bundle    safer    reproduce    benefits    apnoea    sleep    compete    optimization    multiple    issue    simpler    functional    small    neurological    comorbidities    central    respiratory    neural    neurons    forget    network    cpgs    cardiac    disruptive    inputs    motor    implants    animal    electrophysiological    sequences    physiological    life    therapies    block    multichannel    trialled    sinus    ventricular    space    cardiorespiratory    hypertension    electronic    exceeding    adaptive    obtain    pattern    crespace    made    constructed    atrio    bio    arrhythmia    resolved    lifespan    invasive    pacemaker    resynchronization    automatically    left    data    pioneer    tested    validated    underpinned    time    branch    heart    assimilate    disease    fit    biological    accurately    tools    implements    patients    extend    therapy    patient    generators    arrhythmias    rate    autonomy    models    nonlinear    medicine    chips    obstacle    networks    beat    cpg   

Project "CResPace" data sheet

The following table provides information about the project.


Organization address
city: BATH
postcode: BA2 7AY

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 United Kingdom [UK]
 Project website
 Total cost 4˙944˙347 €
 EC max contribution 4˙944˙347 € (100%)
 Programme 1. H2020-EU.1.2.2. (FET Proactive)
 Code Call FETPROACT-2016
 Funding Scheme RIA
 Starting year 2017
 Duration (year-month-day) from 2017-01-01   to  2021-12-31


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY OF BATH UK (BATH) coordinator 1˙548˙936.00
2    UNIVERSITAT ZURICH CH (ZURICH) participant 833˙367.00
3    MEDIZINISCHE UNIVERSITAET WIEN AT (WIEN) participant 584˙375.00
6    UNIVERSITY OF BRISTOL UK (BRISTOL) participant 431˙668.00
8    FAKULTNI NEMOCNICE U SV. ANNY V BRNE CZ (Brno) participant 102˙250.00


 Project objective

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.


List of deliverables.
Report and publications on the benefits of restoring adaptive respiratory sinus arrhythmia in rodents with induced heart failure Documents, reports 2020-04-25 00:56:09
A database of electrophysiological recordings of respiratory neurons Other 2020-04-08 13:50:30
Universal VLSI circuit models for gate variables and gate recovery times Other 2020-04-08 13:50:30
A database of electrocardiograms, arterial O2, CO2, lung inflation and blood pressure time series recordings for dog and pigs in states ranging from rest to intense activity Documents, reports 2020-04-08 13:50:30
Model of the mammalian respiratory CPG Other 2020-04-08 13:50:30
Consortium website and logo Documents, reports 2020-04-08 13:50:30
Data management plan Documents, reports 2020-04-08 13:50:30

Take a look to the deliverables list in detail:  detailed list of CResPace deliverables.


year authors and title journal last update
List of publications.
2019 Andreas Spannbauer, Denise Traxler, Dominika Lukovic, Katrin Zlabinger, Johannes Winkler, Alfred Gugerell, Péter Ferdinandy, Derek J. Hausenloy, Noemi Pavo, Maximilian Y. Emmert, Simon P. Hoerstrup, Andras Jakab, Mariann Gyöngyösi, Martin Riesenhuber
Effect of Ischemic Preconditioning and Postconditioning on Exosome-Rich Fraction microRNA Levels, in Relation with Electrophysiological Parameters and Ventricular Arrhythmia in Experimental Closed-Chest Reperfused Myocardial Infarction
published pages: 2140, ISSN: 1422-0067, DOI: 10.3390/ijms20092140
International Journal of Molecular Sciences 20/9 2020-04-08
2019 Kamal Abu-Hassan, Joseph D. Taylor, Paul G. Morris, Elisa Donati, Zuner A. Bortolotto, Giacomo Indiveri, Julian F. R. Paton, Alain Nogaret
Optimal solid state neurons
published pages: , ISSN: 2041-1723, DOI: 10.1038/s41467-019-13177-3
Nature Communications 10/1 2020-04-08
2019 Erin L. O\'Callaghan, Renata M. Lataro, Eva L. Roloff, Ashok S. Chauhan, Helio C. Salgado, Edward Duncan, Alain Nogaret, Julian F. R. Paton
Enhancing respiratory sinus arrhythmia increases cardiac output in rats with left ventricular dysfunction
published pages: , ISSN: 0022-3751, DOI: 10.1113/jp277293
The Journal of Physiology 2020-04-08
2018 Alain Nogaret, Alastair King
Inhibition delay increases neural network capacity through Stirling transform
published pages: , ISSN: 2470-0045, DOI: 10.1103/PhysRevE.97.030301
Physical Review E 97/3 2020-04-08

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The information about "CRESPACE" are provided by the European Opendata Portal: CORDIS opendata.

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