Aissaoui R, Kauffmann C, Dansereau J, de Guise J A
Département de Génie de la production automatisée, Ecole de Technologie Supérieure, 1100, rue Notre-Dame Ouest, Montréal, Quebéc, Canada H3C 1K3.
Med Eng Phys. 2001 Jul;23(6):359-67. doi: 10.1016/s1350-4533(01)00052-2.
In this paper, a semi-automatic method for segmenting pressure distribution image-based data at the body-seat interface is presented. The purpose of this work was to estimate the surface and the load supported by the ischial tuberosity (IT) region. The proposed method involves three steps: (1) detecting the IT region using a pressure-distribution image gradient; (2) estimating the contour of the IT region by an iterative active contour algorithm and finally (3) estimating the percentage of the surface and the weight-bearing of the IT region in a group of able-bodied (AB) and spinal-cord injury (SCI) subjects. It was found in this study that the weight bearing on the IT for the spinal-cord injured group is distributed on half the surface in comparison with the AB group or the powered wheelchair users groups. The findings of this study provide insights concerning pressure distribution in sitting for the paraplegic and able-bodied.
本文提出了一种用于分割基于压力分布图像的身体-座椅界面数据的半自动方法。这项工作的目的是估计坐骨结节(IT)区域所支撑的表面和负荷。所提出的方法包括三个步骤:(1)使用压力分布图像梯度检测IT区域;(2)通过迭代主动轮廓算法估计IT区域的轮廓,最后(3)估计一组健全(AB)和脊髓损伤(SCI)受试者中IT区域的表面百分比和负重情况。在本研究中发现,与AB组或电动轮椅使用者组相比,脊髓损伤组在IT上的负重分布在一半的表面上。本研究结果为截瘫患者和健全人坐姿时的压力分布提供了见解。