H2020Staff exchange2015–2018

WASTCArD · Wrist and arm sensing technologies for cardiac arrhythmias detection

Horizon 2020 — Marie Skłodowska-Curie Actions

Duration
2015-05-01 → 2018-04-30
EU contribution
€324,000
Participants
11
Scheme
MSCA-RISE

Lines connect the coordinator with its partners.

Results in brief

Wrist and arm sensing technologies for cardiac arrhythmias detection

Title: Wrist and arm sensing technologies for cardiac arrhythmias detection in long term monitoring Summary Abnormal heart rhythms are a major cause of cardiovascular disease and death in Europe. Sudden cardiac death accounts for 50% of cardiac mortality in developed countries; ventricular tachycardia or ventricular fibrillation is the commonest underlying arrhythmia. In the ambulatory population, atrial fibrillation is the commonest one, and is associated with increased risk of stroke and heart failure, particularly in the aged population. If arrhythmias are detected at an early stage of heart disease, appropriate treatment can be effective, reducing disability and death. However, in the early stages of disease these may be transient, lasting only a few seconds and thus difficult to detect. Current approaches to cardiac rhythm monitoring include: a) non-invasive external recording devices; which are suitable for short term (<24 hours) recording, and b) implantable loop recorders, which are inserted subcutaneously beneath the chest wall; capable of monitoring heart rhythm for extended periods, but there is considerable expense associated with the device, hospitalisation costs and risk of infection. This successfully completed research and innovation project through staff exchange activities, has investigated advanced technologies for non-invasive recording heart rhythm signals from the electrical activity of the heart, during long periods of time (>36 hours), using a wrist or arm wearable band device with novel electrocardiographic (ECG) sensing techniques and embedded artificial intelligence based detection processes of cardiac arrhythmias. The problem of recovering the distant heart electrogram signal from noise corrupted ECG bipolar sensing on the arm was addressed using smart digital noise filtering algorithms. The results of the project have been published on several scientific journals and on prestigious conference proceedings. This knowledge contribution will impact by establishing a successful international and intersectoral partnership, which will attract further funding into the next translational technology stage for addressing a significant cardiovascular healthcare problem. The next generation technology will be suitable for integration into current e-Health and cardiac information systems and internet of things, and significantly impact on healthcare costs reduction by improved effectiveness on early diagnosis and early treatment of cardiac diseases.

Data: CORDIS, © European Union

Project objective

Abnormal heart rhythms are a major cause of cardiovascular disease and death in Europe. Sudden cardiac death accounts for 50% of cardiac mortality in developed countries; ventricular tachycardia or ventricular fibrillation is the commonest underlying arrhythmia. In the ambulatory population, atrial fibrillation is the commonest one, and is associated with increased risk of stroke and heart failure, particularly in the aged population. If arrhythmias are detected at an early stage of heart disease, appropriate treatment can be effective, reducing disability and death. However, in the early stages of disease these may be transient, lasting only a few seconds, and thus difficult to detect. Current approaches to cardiac rhythm monitoring include: a) non-invasive external recording devices; which are suitable for short term (<24h) recording, and b) implantable loop recorders, which are inserted subcutaneously beneath the chest wall; capable of monitoring heart rhythm for extended periods, but there is considerable expense associated with the device, hospitalisation costs and risk of infection. The proposed joint research project through staff exchange activities, will investigate enabling technologies for non-invasive recording heart rhythm during long periods of time (>36h), using a wrist or arm wearable device with novel ECG sensing techniques and embedded real-time cardiac arrhythmia detection processes. The problem of extracting the far-field heart electrogram signal from noise components will be addressed using smart denoising algorithms. The project will impact by establishing a successful international and intersectoral partnership for the development of new technologies addressing a significant cardiovascular healthcare problem. These technologies will be suitable for integration into current e-Health and cardiac information systems, and will impact on healthcare costs reduction by improved efficiency in the diagnosis and early treatment of cardiac disease

Original text from CORDIS.

Participants

  • UNIVERSITY OF ULSTER · ColeraineCoordinatorUnited Kingdom
  • INSTITUT NATIONAL DES SCIENCES APPLIQUEES DE LYON · VILLEURBANNE CEDEXFrance
  • INTELESENS LTD · BELFASTUnited Kingdom
  • PONTIFICIA UNIVERSIDAD JAVERIANA · BogotaColombia
  • S.D. INFORMATIKA DOO INFORMATICKI INZENJERING, POSLOVNE USLUGE I TRGOVINA · VELIKA GORICACroatia
  • SVEUCILISTE U ZAGREBU FAKULTET ELEKTROTEHNIKE I RACUNARSTVA · ZAGREBCroatia
  • Southern Health and Social Care Trust · PortadownUnited Kingdom
  • UNIVERSIDAD DE CARABOBO · VALENCIAVenezuela
  • UNIVERSIDAD SIMON BOLIVAR · CARACASVenezuela
  • UNIVERSIDADE FEDERAL DO RIO DE JANEIRO · RIO DE JANEIROBrazil
  • WATERFORD INSTITUTE OF TECHNOLOGY · WaterfordIreland

Links

Data: CORDIS, © European Union