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基于惯性传感器的可穿戴监测系统用于医学康复目的的人体脊柱姿势测量与几何建模

Measurement and Geometric Modelling of Human Spine Posture for Medical Rehabilitation Purposes Using a Wearable Monitoring System Based on Inertial Sensors.

作者信息

Voinea Gheorghe-Daniel, Butnariu Silviu, Mogan Gheorghe

机构信息

Department of Automotive and Transport Engineering, Transilvania University of Brasov, 29 Eroilor Blvd, RO-500036 Brasov, Romania.

出版信息

Sensors (Basel). 2016 Dec 22;17(1):3. doi: 10.3390/s17010003.

Abstract

This paper presents a mathematical model that can be used to virtually reconstruct the posture of the human spine. By using orientation angles from a wearable monitoring system based on inertial sensors, the model calculates and represents the curvature of the spine. Several hypotheses are taken into consideration to increase the model precision. An estimation of the postures that can be calculated is also presented. A non-invasive solution to identify the human back shape can help reducing the time needed for medical rehabilitation sessions. Moreover, it prevents future problems caused by poor posture.

摘要

本文提出了一种数学模型,可用于虚拟重建人体脊柱的姿势。通过使用基于惯性传感器的可穿戴监测系统的方向角,该模型计算并呈现脊柱的曲率。考虑了几个假设以提高模型精度。还给出了可计算姿势的估计。一种识别人体背部形状的非侵入性解决方案有助于减少医学康复疗程所需的时间。此外,它还能预防因不良姿势导致的未来问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e89c/5298576/f6b02fa76e9a/sensors-17-00003-g001.jpg

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