4th Dutch Bio-Medical Engineering Conference 2013
24-25 January 2013, Egmond aan Zee, The Netherlands

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09:40   Lamoraalzaal Keynote Lecture - Prof. Guang-Zhong Yang
45 mins
Guang-Zhong Yang
Abstract: With demographic changes associated with the aging population and increasing number of people living along, the requirement and practical provision of future healthcare delivery are changing rapidly. Shorter hospital stay and better community care is set to be the future trend of healthcare, however, providing specialist service at a local level is difficult, considering the relative infrequency with which a particular disease, or a combination of diseases, may be encountered by the average general practitioners. Such schemes must be underpinned by an intelligent and pervasive information link between patients and specialist centres through wearable or implanted wireless sensory devices to provide early warnings of potential problems. The provision of “ubiquitous” and “pervasive” monitoring of physical, physiological, and biochemical parameters in any environment and without activity restriction and behaviour modification is the primary motivation of Body Sensor Network (BSN) research. The general scope of BSN is broad, ranging from monitoring of patients with chronic disease and care for the elderly, to general well-being monitoring and performance evaluation in sports. It also has important applications in gaming and human-computer-interaction. This lecture will address the technical challenges related to biosensor design, power scavenging, and low power wireless communication; examine the need for autonomic sensing including context-aware sensing, mutli-sensor fusion and data mining; evaluate the challenges and opportunities of pervasive sensing for healthcare, general well-being and chronic disease management. The lecture will also cover the use of bio-inspired design for providing distributed inferencing and ultra-low power on-node processing, demonstrating how this alternate paradigm based on the strategies used by biological systems can be used to deal with the challenges of scale, complexity, heterogeneity, and uncertainty involved in pervasive sensing.