The Accuracy of the Detection of Body Postures and Movements Using a Physical Activity Monitor in People after a Stroke
| Autor: | Gerard M. Ribbers, Herwin L. D. Horemans, Johannes B. J. Bussmann, Henk J. Stam, Malou H. J. Fanchamps |
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| Přispěvatelé: | Rehabilitation Medicine |
| Rok vydání: | 2018 |
| Předmět: |
Male
030506 rehabilitation medicine.medical_treatment Video Recording lcsh:Chemical technology Accelerometer Biochemistry Analytical Chemistry 0302 clinical medicine Primary outcome Activities of Daily Living Medicine physical behavior lcsh:TP1-1185 Instrumentation Stroke validation Rehabilitation Stroke Rehabilitation Middle Aged stroke Atomic and Molecular Physics and Optics Activity monitor Female 0305 other medical science Adult medicine.medical_specialty activity monitoring Adolescent Movement Posture Physical activity Sitting Article 03 medical and health sciences Young Adult Physical medicine and rehabilitation accelerometry Humans Electrical and Electronic Engineering Exercise Aged Monitoring Physiologic business.industry Reproducibility of Results medicine.disease body postures and movements business Lying 030217 neurology & neurosurgery |
| Zdroj: | 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) |
| ISSN: | 1424-8220 |
| Popis: | Background: In stroke rehabilitation not only are the levels of physical activity important, but body postures and movements performed during one&rsquo 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 upright position&rdquo (standing/walking/running) between the Activ8 and the video recording (the reference method). Secondary analyses focused on classes other than &ldquo Results: The Activ8 underestimated the merged class &ldquo by 3.8% (775 s). The secondary analyses showed an overestimation of &ldquo lying/sitting&rdquo (4.5% (569 s)) and of &ldquo cycling&rdquo (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. |
| Databáze: | OpenAIRE |
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