Assistant Professor Seraina Dual

Abstract: Cardiovascular disease currently drives my research as it affects one-third of individuals in Europe – negatively impacting their quality of life, contributing to chronic health conditions, and resulting in a significant cost for society (economic cost of €111 billion/year). Although the last decade has seen tremendous advances in treatment options for patients with early cardiac disease, we are now witnessing an epidemic of heart failure (2–7% incidence). Prediction of the onset of the heart failure is crucial to initiate and optimize treatment strategies. At the same time, we are witnessing the advent of innovative digital technologies that enables access to health information in real-time, not only through bedside monitors, but also from wearables and implantable devices. Focusing on clinical needs, engineers can leverage this opportunity by combining sensors and algorithms into smart systems: Implantable sensors let us monitor heart health continuously allowing timely clinical intervention; Advanced signal processing and machine learning tools which incorporate physiological information provide quality control of clinical assessments; Test rigs equipped with sensors help us to predict the interaction of medical devices with the cardiovascular system; and bio-signals inform adaptive control algorithms for artificial hearts. Medical systems turn smart using advanced signal processing, sensors, and algorithms and are poised to transform the delivery of health care enabling intelligent medical treatments and services in cardiovascular disease.

Biography:

Seraina Dual is an Assistant Professor at KTH Royal Institute of Technology in Stockholm in Biomedical Signal Processing. Dual trained as a Mechanical Engineer at the Federal Institute of Technology in Zurich, Switzerland (ETH Zurich) obtaining a Bachelor’s and Master’s degree in Biomedical Engineering, Robotics and Control. She earned her PhD in the Product Development Group focusing on sensor systems for cardiovascular applications in the Zurich Heart Project. Subsequently, she joined Stanford University at the Departments of Radiology where she designed a soft robotic device using cardiac magnetic resonance imaging funded by the Swiss National Science Foundation. Her current research is funded by the Swedish innovation agency VINNOVA and by the starting grant of the Swedish Research Council.

Email:

Address: KTH Royal Institute of Technology , , Stockholm, Sweden