Photonics Research Group Home
Ghent University Projects
About People Research Publications Education Services
 IMEC
intern

 

back to project list 

H2020 : CARDIS

Full Name: Early stage CARdio Vascular Disease Detection with Integrated Silicon Photonics

Duration: 1/2/2015-31/1/2019 (Finished)

Partners:

  • IMEC
  • Medtronic Bakken research cneter
  • SIOS MESSTECHNIK
  • UNIVERSITY COLLEGE CORK - NATIONAL UNIVERSITY OF IRELAND, CORK
  • UNIVERSITEIT GENT
  • INSTITUT NATIONAL DE LA SANTE ET DE LA RECHERCHE MEDICALE
  • QUEEN MARY UNIVERSITY OF LONDON
  • UNIVERSITEIT MAASTRICHT
  • FUNDICO BVBA

Objective:

  • Early identification of individuals at risk for CVD allows early intervention to halt or reverse the pathological process. This is the driver of Medtronic and partners to develop a mobile, low-cost, non-invasive, point-of-care screening device for CVD.
  • Assessment of arterial stiffness by measurement of the aortic pulse wave velocity (aPWV) is included in the latest ESC/ESH guidelines for CVD risk prediction. Besides aPWV, early identification of arterial stenosis and cardiac contraction abnormalities can be used to improve CVD risk classification. However, no tools are available today to screen a large population at primary care on these parameters, and individuals that are considered to be at low or moderate risk are too often undiagnosed.
  • The objective of CARDIS is to investigate and demonstrate the concept of a mobile, low-cost device based on a silicon photonics integrated laser Doppler vibrometer and validate the concept for the screening of arterial stiffness, detection of stenosis and heart failure. We will:
  • * Investigate, design and fabricate the optical subsystems and components: silicon photonics chip with integrated Ge-detectors, micro-optics, micro-optical laser bench, optical package
  • * Integrate the subsystems and build a multi-array laser interferometer system
  • * Develop a process flow scalable to high volumes for all sub-systems and their integration steps
  • * Investigate and develop the biomechanical model to translate optical signals related to skin-level vibrations into underlying CVD physiological events
  • * Validate the system in a clinical setting
  • Photonics integration is needed to enable a device that is mobile (small size, small weight, robust (no moving parts), low cost (high volume scalable process flow) and allows fast screening (laser array).
  • The partners commit to protect IP whenever possible, disseminate results via open access and, if target specs are met, commercially exploit and transfer the technology to create social and economic impact.

Project Web site: https://cordis.europa.eu/project/id/644798

People involved

Research topics involved

Publications in the framework of this project (7)

    International Journals

  1. S. Badhwar, L. Marais, H. Khettab, F. Poli, Y. Li, P. Segers, S. Aasmul, M. de Melis, R. Baets, S. Greenwald, R.-M. Bruno, P. Boutouyrie, Clinical validation of carotid-femoral pulse wave velocity measurement using a multi-beam laser vibrometer: the CARDIS study, Hypertension, 81(9), p.1-10 doi:10.1161/HYPERTENSIONAHA.124.22729 (2024)  Download this Publication (1.8MB).
  2. Y. Li, R. Baets, Nonlinear signal errors in homodyne laser Doppler vibrometry induced by strong second-order ghost reflections and their mitigation, Optics Express, 29(6), p.8283 - 8295 doi:10.1364/OE.418439 (2021)  Download this Publication (3.1MB).
  3. Y. Li, L. Marais, H. Khettab, Z. Quan, S. Aasmul, R. Leinders, R. Schuler, P. Morrissey, S. Greenwald, P. Segers, M. Vanslembrouck, R. Bruno, P. Boutouyrie, P. O'Brien, M. de Melis, R. Baets, Silicon photonics-based laser Doppler vibrometer array for carotid-femoral pulse wave velocity (PWV) measurement, Biomedical Optics Express, 11(7), p.3913-3926 doi:10.1364/BOE.394921 (2020)  Download this Publication (2.1MB).
  4. L. Marais, H. Khettab, Y. Li, P. Segers, R. Baets, K. Reesink, S. Aasmul, M. De Melis, P. Boutouyrie, Measurement of Aortic Stiffness By Laser Doppler Vibrometry: THE CARDIS STUDY, Journal of Hypertension, 37, p.e88 doi:10.1097/01.hjh.0000570292.62996.dd (2019)  Download this Publication (250KB).
  5. V. Mancini, D. Tommasin, Y. Li, J. Reeves, R. Baets, S. Greenwald, P. Segers, Detecting carotid stenosis from skin vibrations using Laser Doppler Vibrometry : an in-vitro proof-of-concept, PLOS ONE, 14(6), p.e0218317 doi:10.1371/journal.pone.0218317 (2019)  Download this Publication (3.3MB).
  6. Y. Li, J. Zhu, M. Duperron, P. O'Brien, R. Schuler, S. Aasmul, M. De Melis, M. Kersemans, R. Baets, Six-beam homodyne laser Doppler vibrometry based on silicon photonics technology, Optics Express, 26(3), p.3638-3645 doi:10.1364/oe.26.003638 (2018)  Download this Publication (1.6MB).
      International Conferences

    1. Simoen Beeckman, Y. Li, Soren Aasmul, R. Baets, Pierre Boutouyrie, Patrick Segers, Nilesh Madhu, Enhancing Multichannel Laser-Doppler Vibrometry Signals with Application to (Carotid-Femoral) Pulse Transit Time Estimation, 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Australia, (2023).