We would like to invite you to the 4th Conference on Advanced Methods of Biological Data and Signal Processing BioDat 2015 which will be held as special session of the IWCIM conference.

Main Objectives

  • information exchange opportunity in design, research and development in the field of biomedical engineering for young researchers, engineers, PhD and Master students
  • to encourage young participants in their publishing activities
  • to share information about biomedical engineering on the international level
  • supporting a new collaboration among participants

Main topics

  • biological and medical data processing
  • medical knowledge representation
  • integration of heterogeneous data sources in medicine
  • patient monitoring, including telemonitoring
  • advanced methods of biosignal processing
  • medical data mining
  • decision support systems in medicine
  • eHealth, mHealth


Lenka Lhotska, CVUT:


With the exponential growth of sensor networks, web logs, social networks and interconnected application components, large collections of data are continuously generated with high speed. This phenomenon is expected to grow in the near future. Nowadays, in order to efficiently and effectively access the vast stream of information available on and offline, the users and/or enterprises need to resort to flexible and efficient platforms or integration services. This Special Session aims to explore recent research and developments related to Bing and Linked Data. It encourages interaction between researchers, practitioners and developers from different background areas such as cloud computing, distributed computing, large-scale data management and data storage systems to build a wider community to explore and realize the potential of this new topic. The workshop solicits high quality research results in all related areas.


We encourage submission of both position papers and work-in-progress papers on Big and Linked Data. We solicit previously unpublished work on topics including, but not limited to the following:
  • Cloud/Grid/Stream computing for Big Data
  • Search and mining Big Data
  • Visualization Analytics for Big Data
  • Large-scale recommendation systems
  • Multimedia and Multi-structured data
  • Big data security and privacy
  • Big data applications
  • Semantic web and Linked Data


Raja Chiky, ISEP:


Data fusion and processing of signals acquired by separate biosensors forms an extensive research area related to the very rapid grows of different technological devices, robotic systems, visual technologies and wireless communication systems. Computational intelligence forms and integrating area for data processing, feature extraction and application of statistical methods in diagnosis of biomedical disorders, treatment monitoring, rehabilitation and analysis of sport activities.


  • Analysis of polysomnographic data
  • The use of image and depth sensors for breathing monitoring
  • Gait analysis for rehabilitation and detection of gait disorders
  • Monitoring of sport activities


Homma Noriyasu, Tohoku University:
Martin Valis, Charles University:


Ambient Assisted Living (AAL) is a generic term which includes a mix of tools such as “Smart Sensors”, Big Data Processing, Data Mining, Intelligent System, e-Health and Medical Internet of Things devoted to enhance the quality of life of disability and elderly through the use of information and communications technology (ICT). Demographic changes and an aging population, which involves many challenges but also opportunities for disability and elderly people, and health systems represent a solid motivation to developed Intelligent tools in this area. The AAL concept includes: extension of time that disability or elderly people can live in their preferred environment by increasing their autonomy, self-esteem and mobility; maintaining health and functional capacity of older people and promoting a better lifestyle for people at risk. It has approached the problem of IT-based technologies to increase the autonomy of older people in a broader context that includes software and hardware oriented and location (including RFID) and nutritional program and identification of certain diseases and their evolution (for example: Parkinson's or Alzheimer Disease) and the recognition of gestures, etc.


  • Wireless sensor networks in telemedicine
  • Internet of Things in telemedicine
  • M2M-based telemedicine applications
  • Smart home for assisted living
  • Distributed systems for telemedicine
  • Medical data mining
  • Analysis and processing of biomedical data
  • The use of software tools and hardware devices for orientation and location
  • Nutrition Therapy and Rehabilitation program for disorders, and for elderly people
  • Monitoring of Alzheimer Disease or other Dementia disability
  • Recognition of gestures using Intelligent Tools
  • Intelligent Systems: Knowledge based System, Expert Systems


Oana Geman, Stefan cel Mare University:
Iuliana Chiuchisan, Stefan cel Mare University:
Ioan Ungurean, Stefan cel Mare University:

Paper submission

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