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http://dx.doi.org/10.9718/JBER.2018.39.6.278

The Estimation of Craniovertebral Angle using Wearable Sensor for Monitoring of Neck Posture in Real-Time  

Lee, Jaehyun (Interdisciplinary Program of Medical & Biological Engineering, University of Ulsan)
Chee, Youngjoon (Interdisciplinary Program of Medical & Biological Engineering, University of Ulsan)
Publication Information
Journal of Biomedical Engineering Research / v.39, no.6, 2018 , pp. 278-283 More about this Journal
Abstract
Nowdays, many people suffer from the neck pain due to forward head posture(FHP) and text neck(TN). To assess the severity of the FHP and TN the craniovertebral angle(CVA) is used in clinincs. However, it is difficult to monitor the neck posture using the CVA in daily life. We propose a new method using the cervical flexion angle(CFA) obtained from a wearable sensor to monitor neck posture in daily life. 15 participants were requested to pose FHP and TN. The CFA from the wearable sensor was compared with the CVA observed from a 3D motion camera system to analyze their correlation. The determination coefficients between CFA and CVA were 0.80 in TN and 0.57 in FHP, and 0.69 in TN and FHP. From the monitoring the neck posture while using laptop computer for 20 minutes, this wearable sensor can estimate the CVA with the mean squared error of 2.1 degree.
Keywords
Craniovertebral angle; Forward head posture; Text neck; Wearable sensor; Posture correction;
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