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Evolutionary Bio-Interaction Knowledge Accumulation for Smart Healthcare

  • Sung-Kwan Kang
  • Jong-Hun Kim
  • Kyung-Yong Chung
  • Joong-Kyung Ryu
  • Kee-Wook Rim
  • Jung-Hyun Lee
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 215)

Abstract

The range of ubiquitous computing technology available for use in healthcare continues to evolve, allowing for an increasing variety of wireless sensors, devices, and actuators to be deployed in changing environments. This paper presents a robust distributed architecture for adaptive and intelligent bio-interaction systems, called Evolutionary Bio-inspired Knowledge Accumulation. This system is designed to its capability to increase knowledge enhancement even in dynamic and uneven environments. Our proposed system adopts the concepts of biological context-awareness with evolutionary computations where the working environments are modeled and identified as bio-environmental contexts. We have used an unsupervised learning algorithm for bio-context modeling, and a supervised learning algorithm for context identification. A genetic algorithm, for its adaptive criteria, is used to explore action configuration for each identified bio context to implement our concept. This framework has been used to reduce noise in ECG signals that have been gathered in routine remote healthcare monitoring. Experimental results showed that the proposed algorithm effectively removes baseline wander noise and muscle noise, and feature extraction results showed a significant improvement of T duration extraction values.

Keywords

Ubiquitous healthcare systems Context awareness Interactive healthcare 

Notes

Acknowledgments

This work was supported by the R&D Program of MKE/KEIT.

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Copyright information

© Springer Science+Business Media Dordrecht 2013

Authors and Affiliations

  • Sung-Kwan Kang
    • 1
  • Jong-Hun Kim
    • 2
  • Kyung-Yong Chung
    • 3
  • Joong-Kyung Ryu
    • 4
  • Kee-Wook Rim
    • 5
  • Jung-Hyun Lee
    • 6
  1. 1.HCI Lab Department of Computer Science and EngineeringInha UniversityYong-Hyun DongSouth Korea
  2. 2.U-Healthcare DepartmentBit ComputerSeocho-guSouth Korea
  3. 3.School of Computer Information EngineeringSangji UniversityWonju-siKorea
  4. 4.Department of Computer ScienceDaelim University CollegeAnyangKorea
  5. 5.Department of Computer Science and EngineeringSunmoon UniversityChungcheongnam-doKorea
  6. 6.Department of Computer Science and EngineeringInha UniversityIncheonSouth Korea

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