Data calibration and dimensionality reduction for health care system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wearable technology and mobile platform are becoming more and more popular in clinical context, such as health care or monitoring and a lot of research has been conducted on data processing algorithms. However, very little work has been done on real time feedback data calibration which is critical for training purpose work. In addition, as raw data have been usually noisy, real time data calibration become more and more difficult. Therefore, this paper discusses a Binary Encoded Symbolic Representation (BESR) based calibration algorithm to provide feedback in real time. This new algorithm employs a new pruning method using a Distance Filter with Starting Symbol Requirement (DFSSR) to provide real time feedback. We apply the proposed work on breathing exercise training. Experimental results show that the BESR reduces storage to a factor of 160X compared with raw data storage. The new calibration algorithm achieves time complexity O(1) for each sample which makes it suitable for real time application.

Original languageEnglish (US)
Title of host publicationElectronics, Communications and Networks IV - Proceedings of the 4th International Conference on Electronics, Communications and Networks, CECNet2014
EditorsAmir Hussain, Mirjana Ivanovic
PublisherCRC Press/Balkema
Pages703-707
Number of pages5
ISBN (Print)9781138028302
DOIs
StatePublished - Jan 1 2015
Event4th International Conference on Electronics, Communications and Networks, CECNet2014 - Beijing, China
Duration: Dec 12 2014Dec 15 2014

Publication series

NameElectronics, Communications and Networks IV - Proceedings of the 4th International Conference on Electronics, Communications and Networks, CECNet2014

Other

Other4th International Conference on Electronics, Communications and Networks, CECNet2014
CountryChina
CityBeijing
Period12/12/1412/15/14

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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  • Cite this

    Chen, K., Roveda, J. M., & Lane, R. D. (2015). Data calibration and dimensionality reduction for health care system. In A. Hussain, & M. Ivanovic (Eds.), Electronics, Communications and Networks IV - Proceedings of the 4th International Conference on Electronics, Communications and Networks, CECNet2014 (pp. 703-707). (Electronics, Communications and Networks IV - Proceedings of the 4th International Conference on Electronics, Communications and Networks, CECNet2014). CRC Press/Balkema. https://doi.org/10.1201/b18592-129