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Ubiquitous Health: Wearable Computing Systems that Increase Quality of Life and Transform Health Care

25 May
Friday, 05/25/2018 1:00pm to 2:00pm
Computer Science Building, Room 151
Speaker: Bjoern Eskofier

The fast-growing costs of acute care are pushing the healthcare systems worldwide to a limit. We are coming to realize that we cannot afford to provide everybody with access to unlimited healthcare services. An alternative approach is emerging that focuses on "keeping people healthy" through primary and secondary prevention. This paradigm shift in the healthcare systems is demanding research in ambient, sensor-enhanced assistive technologies that "keep people outside of the hospital". Therefore, an interest exists for wearable and pervasive computing systems and ambient assistive technology that aim at ubiquitous health support for individuals in the home and community settings.

The talk will present research projects where ambient sensors for data recording, pervasive computing systems for monitoring and signal processing, and machine learning algorithms were implemented to provide accurate information to patients and caregivers in neurological and musculoskeletal movement disorders with the aim of promoting quality of life of patients and improving health care.

Bjoern M. Eskofier is German Research Foundation (DFG) funded Heisenberg-Professor for "Digital Support Systems in Sports and Medical Engineering" and endowed professor of the Adidas AG. He heads the Machine Learning and Data Analytics (MaD) Lab and the Central Institute for Medical Engineering at the Friedrich-Alexander-University Erlangen-Nuernberg (FAU).  Currently, his lab has 30 co-workers, who research in the fields of machine learning and signal analysis for wearable computing systems in sports and health care. The motivation of the lab's researchers is to increase human wellbeing. He is currently on a sabbatical leave at the MIT Media Lab.