Reference number : GC-2017-Q1-00362, amendment number : , agreement type : G, recipient legal name : Hodgson, Antony (The University of British Columbia), recipient country : CA, recipient province : nan, recipient city : British Columbia|Colombie-Britannique, recipient postal code : nan, program name english : Engage Grants for Universities, program name french : Subventions d'engagement partenarial pour les universités, program purpose english : Cardiovascular diseases (CVDs) affect the lives of 1.6 million Canadians, and are the second leading cause of_x000D_
death in Canada. CVDs cost the Canadian economy more than $20 Billion annually. Heart Force Medical Inc._x000D_
(HFM) is a Vancouver-based company developing software and hardware technologies for the noninvasive_x000D_
cardiac monitoring to prevent and diagnose CVDs. In particular, HFM's proprietary technology measures heart_x000D_
vibration, which is referred as the seismocardiogram (SCG). SCGs can be captured by placing an accelerometer_x000D_
on the sternum, and provide information about mechanical aspects of the heart. Due to the inherent sensitivity_x000D_
of the SCG signal to motion artifacts caused by respiration or body movements, sophisticated algorithms have_x000D_
to be developed to remove or minimize the effect of these artifacts. Another source of inadequate reliability of_x000D_
the SCG signal is the inappropriate placement of the accelerometer sensor on the sternum. In these situations,_x000D_
the SCG signals are of low quality (LQ) and the extraction of cardiac information is unreliable. Therefore, the_x000D_
purpose of this proposal is to develop an algorithm that (1) can accommodate motion artifacts, and (2) can_x000D_
automatically identify and remove LQ SCG cycles prior to analysis. Such an algorithm has to learn the_x000D_
morphology of recognizable and acceptable SCG cardiac cycles and discard those cycles when important data_x000D_
cannot be extracted. This step is crucial in the overall electromechanical assessment of cardiac function. The_x000D_
developed algorithm will be deployed in relevant HFM devices to increase their accuracy, reliability, and_x000D_
usability to evaluate cardiac performance., program purpose french : Cardiovascular diseases (CVDs) affect the lives of 1.6 million Canadians, and are the second leading cause of_x000D_
death in Canada. CVDs cost the Canadian economy more than $20 Billion annually. Heart Force Medical Inc._x000D_
(HFM) is a Vancouver-based company developing software and hardware technologies for the noninvasive_x000D_
cardiac monitoring to prevent and diagnose CVDs. In particular, HFM's proprietary technology measures heart_x000D_
vibration, which is referred as the seismocardiogram (SCG). SCGs can be captured by placing an accelerometer_x000D_
on the sternum, and provide information about mechanical aspects of the heart. Due to the inherent sensitivity_x000D_
of the SCG signal to motion artifacts caused by respiration or body movements, sophisticated algorithms have_x000D_
to be developed to remove or minimize the effect of these artifacts. Another source of inadequate reliability of_x000D_
the SCG signal is the inappropriate placement of the accelerometer sensor on the sternum. In these situations,_x000D_
the SCG signals are of low quality (LQ) and the extraction of cardiac information is unreliable. Therefore, the_x000D_
purpose of this proposal is to develop an algorithm that (1) can accommodate motion artifacts, and (2) can_x000D_
automatically identify and remove LQ SCG cycles prior to analysis. Such an algorithm has to learn the_x000D_
morphology of recognizable and acceptable SCG cardiac cycles and discard those cycles when important data_x000D_
cannot be extracted. This step is crucial in the overall electromechanical assessment of cardiac function. The_x000D_
developed algorithm will be deployed in relevant HFM devices to increase their accuracy, reliability, and_x000D_
usability to evaluate cardiac performance., agreement title english : Identifying and removing low quality seismocardiogram cycles, agreement title french : Identifying and removing low quality seismocardiogram cycles, agreement number : EGP, agreement value : 24954.0, agreement start date : 2017-06-14, agreement end date : nan, description english : nan, description french : nan, expected results english : nan, expected results french : nan, additional information english : Grant or Award spanning more than one fiscal year. (2017-2018 to 2018-2019), additional information french : Subvention ou bourse octroyée s'appliquant à plus d'un exercice financier. (2017-2018 à 2018-2019), owner organization : nserc-crsng, owner organization title : Natural Sciences and Engineering Research Council of Canada | Conseil de recherches en sciences naturelles et en génie du Canada