Prof. Danilo Mandic
Danilo P. Mandic (http://www.commsp.ee.ic.ac.uk/~mandic/) is a Professor in signal processing with Imperial College London, UK, and has been working in the areas of adaptive signal processing and bioengineering. He is a Fellow of the IEEE, member of the Board of Governors of International Neural Networks Society (INNS), member of the Big Data Chapter within INNS and member of the IEEE SPS Technical Committee on Signal Processing Theory and Methods. He has received five best paper awards in Brain Computer Interface, runs the Smart Environments Lab at Imperial, and has more than 300 publications in journals and conferences. Prof Mandic has received the President Award for Excellence in Postgraduate Supervision at Imperial. He has pioneered the Ear-EEG concept and has successfully applied it to areas ranging from sleep scoring to brain computer interface.
Complexity Science for Ultrawearable Physiological Sensing
Prof Danilo Mandic and Prof Anthony Constantinides
This talk brings together novel approaches from complexity science and two main aspects of future wearable health technology: (i) miniaturised hardware for 24/7 continuous monitoring of the mind and body, and (ii) development of applications for use in natural environments. Based upon our 10 years of experience in human-computer interface, we will bring together the latest advances in multiscale signal processing, complexity science, and their application in real-world scenarios for next-generation personalised healthcare, such as sleep, fatigue and stress. Our particular emphasis will be on ultra-wearable, unobtrusive, and discreet sensors, such as our own Ear-EEG monitor, and on data analysis challenges posed by such radically new biosensing. To this end, insights into the biophysics of the generation and acquisition of human physiological responses will be used as a foundation for the understanding and interpretation of the so acquired data. We will also discuss opportunites in multi-person behavioural science, enabled by our own wearable sensing platforms, such as vital sign monitoring from inside the ear canal (ECG, EEG, respiration, etc.) and our miniaturised biosignal acquisition unit.