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Cognitive Sensor Networks for Ubiquitous HealthCare Service

The latest advances in sensor technology, sensors implementation, improved wireless telecommunications capabilities, open networks, continued increases in computing power, improved battery technology, and the emergence of flexible software architecture has led to an increased accessibility to healthcare providers, more efficient tasks and processes, and a higher overall quality of healthcare services. Intelligent infrastructures have been providing the layers for contextual information gathering, knowledge processing as well as adaptation and optimization mechanisms. However, in daily life intelligent systems should adapt to new, previously unknown conditions, which would constitute a certain degree of cognitive intelligence. The overall goal of the special session is to gather technology experts, researchers and practitioners to share experiences, discuss practices, exchange ideas and raise awareness in the field of sensors devices for pervasive health monitoring, intelligent emergency management system, pervasive healthcare data access, and ubiquitous computing that would allow sensor networks to constantly self-adapt based on the dynamic context of the environment, individual stakeholders and, even more compelling the interactions and relations between them.

We seek innovative research and position papers in areas including but not limited to:

Sensors devices for ubiquitous healthcare service

Ultrasonic and piezosensors
Photonics based sensors
Optical interferometry
Opto-electro-mechanical sensors
Infrared and near-infrared sensing
Infrared Sonics
Film based sensors
Resonant systems
Radars sensor
Tera-Hz sensing
Nanomaterials for sensors
Nanowire sensors
Sensors arrays
Universal sensors and transducers interface
Sensors for wellbeing
Sensors for context-awareness
Smart sensors
Embedded sensors
Physiological models for interpreting medical sensors data
Continuous versus event driven monitoring of patients
Tracking moving objects
Indoor/outdoor localization and tracking
Pattern recognition
Motion imagery records and analysis
Augmented reality
Direct sensors-to-microcontroller interfacing
ASICs and ICs for sensors
Interoperability issues
Usability and acceptability
Barriers to adoption and enablers
Ubiquitous sensing and computing in e-Health
Mobile application.

Session chair

Dr. Octavian Postolache

ISCTE-IUL, Instituto de Telecomunicações, Lisboa, Portugal


Author Short Biography

Text Box: Octavian A. Postolache received the PhD degree in Electrical Engineering from the Faculty of Electrical Engineering, “Gh. Asachi” Technical University of Iasi, Iasi, Romania, in 1999. In 1992, he joined the Faculty of Electrical Engineering, Department of Electrical Measurements and Electrical Materials, Technical University of Iasi, where he worked for nine years as a Lecturer and an Assistant Professor. In 2000, he started working as a PhD Principal Researcher at the Instituto Superior Técnico and Instituto de Telecomunicações and he joined Escola Superior de Tecnologia de Setubal, Portugal where currently is Professor Adjunto. His main research interests concern smart sensors for biomedical and environmental, sensor and algorithms implementation for cardiorespiratory activity estimation and data mining, computational intelligence with application in in automated measurement systems.