Early stage detection is critical to halting the rise in cardiovascular diseases. Within MEDICAID (Medtech solutions for Earlier DetectIon of CArdIovascular Disease), ten PhD students and one postdoc are therefore working on unobtrusive sensing, monitoring and data analysis for earlier recognition and improved treatment. The general approach is to co-develop novel technological solutions in a controlled clinical environment and to subsequently refine and validate them in extramural and at-home settings. As a collaboration between e/MTIC and Eindhoven Engine, project members meet daily at e/MTIC locations while project management meetings and events are co-located within Eindhoven Engine’s Diruptor building at the TU/e Campus.
Five aspects to innovation
The project consists of five work packages (WP):
Early recognition of Atrial Fibrillation and Heart Failure
Comorbid OSA and Insomnia: cardiovascular-based diagnosis and phenotyping
Early detection of preeclampsia
Diagnosis and management of Atrial Fibrillation compounded by Obstructive Sleep Apnea
Automated analysis of abdominal aortic aneurisms by means of ultrasound
Various methodologies will be utilized over the project’s five-year duration. In WP1, for instance, a database of 27,000 patients is being analyzed in a comparison of traditional analysis, deep learning predictions and machine learning techniques. In WP4, an algorithm for automatic electrocardiogram analysis is being developed, while two systematic reviews on heart rate variability and speckle tracking echocardiography for hypertensive disorders in pregnancy have been submitted for WP5. The subsequent deployment of these innovations and more will increase healthcare effectiveness at lower costs while offering higher patient quality of life.