Subventions et des contributions :

Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier (2017-2018 à 2018-2019).

The goal of this research project is to develop computational algorithms for processing ambulatoryx000D
Electrocardiogram (ECG) signals recorded in real time by a wearable device and accurately measuring thex000D
variation in the time intervals between each heartbeat, referred to as heart rate variability (HRV). HRV is anx000D
important vital signal used by physicians and other healthcare professionals to monitor and assess the risk ofx000D
several cardiac and non-cardiac disorders. The main technical challenges this research sets out to overcomex000D
involve reliably extracting HRV measurements despite common disturbances present in ambulatory ECGx000D
monitoring and efficiently designing the algorithms to operate in real-time to allow for continuousx000D
measurements of the subject's current HRV. The partner organization intends to add the developed algorithmsx000D
to their existing remote monitoring device, which is currently capable of recording ECG amongst otherx000D
physiological and physical activity signals. By adding the capability of accurate HRV measurement to thex000D
wearable device and monitoring platform developed by the industry partner, a crucial vital sign will bex000D
incorporated, thus further facilitating the adaptation of remote monitoring systems by the Canadian Healthcarex000D
System. Individuals known to be at risk of specific medical conditions and hospital patients recovering fromx000D
operations where vital sign monitoring is needed can benefit from remote monitoring in the comfort of theirx000D
homes. This will in turn reduce the burden incurred to hospitals and healthcare professionals and greatly reducex000D
the associated hospitalization costs.