Measuring nightly activity, body weight and body weight change rate with a sensor equipped bed

Andreas Schrempf, Gerold Schoßleitner

Research output: Chapter in Book/Report/Conference proceedingsConference contributionpeer-review

4 Citations (Scopus)

Abstract

A bed was equipped with four force transducers so that the location of the Center Of Mass (COM) can be computed, when the bed contains a person. The computation of the COM and its alterations in combination with the sum of all measured forces allows to compute the person's position in bed, an activity level, the resulting body weight and the corresponding weight change rate over time (overnight and long-term) as well as simply to determine whether the person is in the bed or not. The results of several overnight measurement experiments show, that the person's position in the bed (central, left, right) can be correctly detected, the proposed activity level is a promising indicator for the sleep-activity and furthermore the initial body weight as well as the nightly weight change rate can be determined.

Original languageEnglish
Title of host publication2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
PublisherIEEE
Pages2151-2154
Number of pages4
Volume2010
ISBN (Print)9781424441235
DOIs
Publication statusPublished - 2010
Event2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10 - Buenos Aires, Argentina
Duration: 31 Aug 20104 Sept 2010

Publication series

Name2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10

Conference

Conference2010 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'10
Country/TerritoryArgentina
CityBuenos Aires
Period31.08.201004.09.2010

Keywords

  • Technology and Services for Assisted-Living
  • Technology and Services for Home Care
  • Bed Rest
  • Nursing Homes
  • Transducers
  • Body Weight
  • Humans
  • Models, Statistical
  • Monitoring, Physiologic/methods
  • Beds
  • Equipment Design
  • Health Services for the Aged
  • Home Care Services
  • Algorithms
  • Sleep
  • Time Factors
  • Aged

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