Back to Search Start Over

The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke

Authors :
Gerard M. Ribbers
Herwin L. D. Horemans
Johannes B. J. Bussmann
Henk J. Stam
Malou H. J. Fanchamps
Rehabilitation Medicine
Source :
Sensors (Basel, Switzerland), Sensors, Volume 18, Issue 7, Sensors, 18(7):2167. Multidisciplinary Digital Publishing Institute (MDPI), Sensors, Vol 18, Iss 7, p 2167 (2018)
Publication Year :
2018

Abstract

Background: In stroke rehabilitation not only are the levels of physical activity important, but body postures and movements performed during one&rsquo<br />s daily-life are also important. This information is provided by a new one-sensor accelerometer that is commercially available, low-cost, and user-friendly. The present study examines the accuracy of this activity monitor (Activ8) in detecting several classes of body postures and movements in people after a stroke. Methods: Twenty-five people after a stroke participated in an activity protocol with either basic activities or daily-life activities performed in a laboratory and/or at home. Participants wore an Activ8 on their less-affected thigh. The primary outcome was the difference in registered time for the merged class &ldquo<br />upright position&rdquo<br />(standing/walking/running) between the Activ8 and the video recording (the reference method). Secondary analyses focused on classes other than &ldquo<br />Results: The Activ8 underestimated the merged class &ldquo<br />by 3.8% (775 s). The secondary analyses showed an overestimation of &ldquo<br />lying/sitting&rdquo<br />(4.5% (569 s)) and of &ldquo<br />cycling&rdquo<br />(6.5% (206 s)). The differences were lowest for basic activities in the laboratory and highest for daily-life activities at home. Conclusions: The Activ8 is sufficiently accurate in detecting different classes of body postures and movements of people after a stroke during basic activities and daily-life activities in a laboratory and/or at home.

Details

ISSN :
14248220
Volume :
18
Issue :
7
Database :
OpenAIRE
Journal :
Sensors
Accession number :
edsair.doi.dedup.....facc872d9d1da145ba7c39c42ff19cce
Full Text :
https://doi.org/10.3390/s18072167