June 22, 2017
The proposed lecture will present advanced achievements in the field of affective computing towards more enhanced human-computer-interaction interfaces, presenting advanced signal processing techniques and implementations applied to Electroencephalogram (EEG) recordings. In particular, the way emotions are 'reflected' in our brain signals and the way actions (both in explicit and implicit way, e.g., gestures in music) are combined with internal representations in our brain (involving mirror neuron system activation), will be presented and discussed. Moreover, potential implementations of the findings in the field of human assistive technology will be shown, including innovative ways of pain management, bullying identification, and Parkinson’s and Alzheimer's community support.
There are many diagnosis and treatment guidelines for certain conditions, but there are others, especially undifferentiated complaints, the problem of diagnosis is wide open. A team from NorthShore, Case Western Reserve, Carnegie Mellon, Weill Cornell, and Johns Hopkins is working on a joint project to study the diagnostic process in the case of several undifferentiated complaints, including (a) Abdominal Pain, and (b) Dizziness. There are many different approaches to the problem of discovery of good diagnostic pathways from the electronic health record. I will discuss several approaches and show some results from each. The problem of finding optimal pathways -- i.e. courses of action that would minimize time to diagnosis without an unacceptable risk of diagnostic error -- remains elusive, so it would give us something to discuss further.