Bed exit prediction based on movement and posture data

Aki Harma, Warner Ten Kate, Javier Espina

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingAcademicpeer-review

Abstract

Falls in nursing homes and hospitals take often place immediately after a bed exit of a patient. An alarm signaling the exit from the bed may already be too late for staff to react. In this paper we explore the possibilities of detecting the sequences of preparatory movements before the bed exit and in this way create an early warning of the preparation of bed exit. The method is described and tested using annotated accelerometer data collected from volunteers. A plausibility assessment is also done by comparing accelerometer data from hospital patients with the output of a bed alarm system. It is demonstrated that the proposed method is able to detect a bed exit already seconds before the patient actually leaves the bed.

Original languageEnglish
Title of host publication2014 IEEE-EMBS International Conference on Biomedical and Health Informatics, BHI 2014
PublisherIEEE Computer Society
Pages165-168
Number of pages4
ISBN (Print)9781479921317
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event2014 IEEE-EMBS International Conference on Biomedical and Health Informatics - Valencia, Spain
Duration: 1 Jun 20144 Jun 2014

Conference

Conference2014 IEEE-EMBS International Conference on Biomedical and Health Informatics
Abbreviated titleBHI 2014
Country/TerritorySpain
CityValencia
Period1/06/144/06/14

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