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A Calibration Method for Interbody Distance in Lumbosacral Alignment Estimation

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9835))

Abstract

Anteflexion of the spine is essential for many physical activities of daily living. However, this motion places the lumbar discs under heavy loading because of changes in the shape of the lumbar spine, possibly leading to low back pain. With the aim of reducing low back pain, here we developed a wearable sensor system that can estimate lumbosacral alignment and lumbar load by measuring the shape of the lumbar skin as the lumbosacral alignment changes. The shape of the lumbar skin and posture angle are measured by using curvature sensors and accelerometers. In addition, the wearers physique must be considered for the system to be usable by a variety of people. We developed this system by measuring the body parameters associated with anteflexion and studied the changes in the dimensions of the lumbar spine with changes in posture. By measuring the dimensions of the lumbosacral spine on X-ray images, the posture angle, body surface area, and the dimensions of the lumbosacral spine have relevance. A calibration method for lumbosacral dimensions was developed using this relation. However, the estimation method for lumbosacral alignment could not maintain good calibration of interbody distance. Therefore, we further developed the estimation to include a calibration method for interbody distance, thereby improving the estimation accuracy.

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Correspondence to Yoshio Tsuchiya .

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© 2016 Springer International Publishing Switzerland

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Tsuchiya, Y. et al. (2016). A Calibration Method for Interbody Distance in Lumbosacral Alignment Estimation. In: Kubota, N., Kiguchi, K., Liu, H., Obo, T. (eds) Intelligent Robotics and Applications. ICIRA 2016. Lecture Notes in Computer Science(), vol 9835. Springer, Cham. https://doi.org/10.1007/978-3-319-43518-3_20

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  • DOI: https://doi.org/10.1007/978-3-319-43518-3_20

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43517-6

  • Online ISBN: 978-3-319-43518-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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