A System for unobtrusive monitoring of mobility in bed

Adriana M. Adami, André Adami, Clifford M. Singer, Tamara L. Hayes, Misha Pavel

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

5 Scopus citations

Abstract

Accurate assessment of mobility in bed presents challenges to clinicians and researchers alike. It is traditionally performed by either overnight polysomnograph recording or wrist-actigraphy. A different approach is instrumenting the bed itself rather than the sleeping subject. This paper describes an alternative system for unobtrusive monitoring of mobility in bed that uses load sensors installed at the corners of a bed. This work is focused on the detection and classification of the type of movements based on the forces sensed by load cells. The accuracy of the system is evaluated using data collected in a laboratory. The system is capable of detecting voluntary movement with an average equal error rate of 3.22% (± 0.54). The approach for movement classification is based on Gaussian Mixture Models using a time-domain feature representation that correctly classified 84.6% of movements. Because the system allows both quantification and specification of movement, it has great potential for clinical use.

Original languageEnglish (US)
Title of host publicationProceedings of the 11th IEEE International Conference on Computational Science and Engineering, CSE Workshops 2008
Pages13-18
Number of pages6
DOIs
StatePublished - Nov 17 2008
Event11th IEEE International Conference on Computational Science and Engineering, CSE Workshops 2008 - Sao Paulo, SP, Brazil
Duration: Jul 16 2008Jul 18 2008

Publication series

NameProceedings of the 11th IEEE International Conference on Computational Science and Engineering, CSE Workshops 2008

Other

Other11th IEEE International Conference on Computational Science and Engineering, CSE Workshops 2008
CountryBrazil
CitySao Paulo, SP
Period7/16/087/18/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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  • Cite this

    Adami, A. M., Adami, A., Singer, C. M., Hayes, T. L., & Pavel, M. (2008). A System for unobtrusive monitoring of mobility in bed. In Proceedings of the 11th IEEE International Conference on Computational Science and Engineering, CSE Workshops 2008 (pp. 13-18). [4625033] (Proceedings of the 11th IEEE International Conference on Computational Science and Engineering, CSE Workshops 2008). https://doi.org/10.1109/CSEW.2008.58