Active Filtering Technology Transfer for Magnetocardiogram Data Sets (ATTMEDS)
Lead Research Organisation:
University of Sheffield
Department Name: Physics and Astronomy
Abstract
Creavo Medical Technologies make magnetocardiographs, devices for detailed modelling of the heart of patients presenting with symptoms consistent with heart disease.
We propose a collaborative research project with Creavo, that utilises existing expertise in signal processing, vibration isolation, vibration measurement, and dynamic tracking of sine wave components of data, to try and improve the filtering of background noise in the hospital environment found to affect Creavo devices. This expertise was gained whilst the Sheffield group was working on instrument science in connection with the LIGO gravitational wave detectors, and thus this project represents technology transfer from LIGO (with STFC support) to a UK owned and located SME. This project has the potential to impact heart patients worldwide, to help a strong British business, and to achieve impact from STFC-funded, nominally ' blue skies ' University research.
The proposed duration of the project is two years, during which specialised noise removal techniques will be tried in Creavo units under evaluation in test facilities at Creavo's research headquarters, and also at the University of Sheffield. We will also explore the use of specialised vibration measurement hardware and explore possibilities for the implementation of the developed methods in commercial unites manufactured by Creavo.
We propose a collaborative research project with Creavo, that utilises existing expertise in signal processing, vibration isolation, vibration measurement, and dynamic tracking of sine wave components of data, to try and improve the filtering of background noise in the hospital environment found to affect Creavo devices. This expertise was gained whilst the Sheffield group was working on instrument science in connection with the LIGO gravitational wave detectors, and thus this project represents technology transfer from LIGO (with STFC support) to a UK owned and located SME. This project has the potential to impact heart patients worldwide, to help a strong British business, and to achieve impact from STFC-funded, nominally ' blue skies ' University research.
The proposed duration of the project is two years, during which specialised noise removal techniques will be tried in Creavo units under evaluation in test facilities at Creavo's research headquarters, and also at the University of Sheffield. We will also explore the use of specialised vibration measurement hardware and explore possibilities for the implementation of the developed methods in commercial unites manufactured by Creavo.
People |
ORCID iD |
Edward John Daw (Principal Investigator) |
Publications

Abbott B
(2018)
All-sky search for long-duration gravitational wave transients in the first Advanced LIGO observing run
in Classical and Quantum Gravity

Abbott B
(2018)
Effects of data quality vetoes on a search for compact binary coalescences in Advanced LIGO's first observing run
in Classical and Quantum Gravity

Abbott BP
(2018)
GW170817: Implications for the Stochastic Gravitational-Wave Background from Compact Binary Coalescences.
in Physical review letters

Abbott BP
(2018)
First Search for Nontensorial Gravitational Waves from Known Pulsars.
in Physical review letters

Battesti R
(2018)
High magnetic fields for fundamental physics
in Physics Reports

Daw Edward John
(2018)
A Search for Halo Axions

Du N
(2018)
Search for Invisible Axion Dark Matter with the Axion Dark Matter Experiment.
in Physical review letters
Description | Creavo Medical Technologies |
Organisation | Creavo Medical Technologies |
Country | United Kingdom |
Sector | Private |
PI Contribution | We implemented a novel method for extracting waveforms of the magnetic field of the human heart from very noisy data from their multichannel magnetometer detector |
Collaborator Contribution | The Creavo team contained several expert staff who were helpful in showing us how to read their data, describing the origins of various troublesome sources of noise, and loaning us instruments to help us to generate our own data |
Impact | A paper is in preparation. |
Start Year | 2017 |