This event is endorsed
and organized by

The 3rd EAI International Conference on IoT Technologies for HealthCare

October 18–19, 2016 | Västerås, Sweden

News

Full Paper Submission deadline extended until 15-08-2016

Check the submission instructions here.

Submission is open for full papers and workshop papers

 
We are happy to announce that the Keynote Speaker Ian J. Craddock is confirmed!
 
 
 Please find more information about the venue HERE.
 
Flag for Sweden on Google Android 6.0.1

 

Follow us on Twitter at #HealthyIoT2016

 

Scope

HealthyIoT 2016 is the third one of an international scientific event series dedicated to Internet of Things and Healthcare. The Internet of Things, as a set of existing and emerging technologies, notions and services, can provide many solutions to delivery of electronic healthcare, patient care and medical data management. HealthyIoT aims to bring together technology experts, researchers, industry and international authorities contributing towards the assessment, development and deployment of healthcare solutions based on IoT technologies, standards and procedures.
 

Highlights

  • The event is endorsed by the European Alliance for Innovation, a leading community-based organisation devoted to the advancement of innovation in the field of ICT.
  • All accepted papers will be submitted for publication in Springer and made available through SpringerLink Digital Library, one of the world's largest scientific libraries.
  • Proceedings are submitted for inclusion to the leading indexing services: EI, ISI Thomson's Scientific and Technical Proceedings at Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI's own EU Digital Library (EUDL).
  • The conference will include a number of supporting workshops (a call for workshops will be made).

Topics

  • Wearable Sensor Systems
  • Medical and Sensor Data Stream Processing
  • Signal Processing and Analysis
  • Machine Learning for Signal Processing
  • Emerging eHealth IoT Applications
  • Network Communications for Health Sensor Data
  • Quantified Self Devices & Technologies
  • Processing of Quantified Self Data
  • Cloud Technologies for Healthcare 
  • Intelligent Data Processing and Predictive Algorithms in eHealth
  • Smart Homes and Smart Caring Environments
  • Telemedicine Applications
  • The Smartphone as a HealthyThing
  • Wellness and Health Management Applications
  • Data Mining of Health Data on the Cloud
  • Medical and Sensor Data Stream Processing
  • Security, Safety and Privacy in eHealth and IoT
  • Interoperability and Standardization Issues in IoT and Healthcare
  • Network Communications for Health Monitoring
  • Mobile Sensing and Smartphone Sensing
  • Wireless Sensor and Actuator Networks
  • Sensor Network Operating Systems and Resource Management