Performance evaluation of a tri-axial accelerometry-based respiration monitoring for ambient assisted living

Anmin Jin, Geert Morren, H. Duric, R.M. Aarts

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

44 Citations (Scopus)
314 Downloads (Pure)

Abstract

Ambient assisted living (AAL) technology is often proposed as a way to tackle the increasing cost of healthcare caused by population aging. However, the sensing technology for continuous respiratory monitoring at home is lacking. Known approaches of respiratory monitoring are based on measuring either respiratory effect, e.g. tracheal sound recording by a bio-acoustic sensor, or respiratory effort, e.g. abdomen movement measurement by a tri-axial accelerometer. This paper proposes a home respiration monitoring system using a tri-axial accelerometer. Three different methods to extract a single respiratory signal from the tri-axial data are proposed and analyzed. The performance of the methods is evaluated for various possible respiration conditions, defined by the sensor orientation and respiration-induced abdomen movement. The method based on principal component analysis (PCA) performs better than selecting the best axis. The analytical approach called full angle shows worse results than the best axis when the gravity vector is close to one of the sensor's axes (
Original languageEnglish
Title of host publicationProceedings of the EMBC' 09; 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2-6 September 2009, Minneapolis, Minnesota
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages5677-5680
ISBN (Print)978-1-4244-3296-7
DOIs
Publication statusPublished - 2009

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