CN105996991B - 膝关节功能稳定性评价系统及评价方法 - Google Patents

膝关节功能稳定性评价系统及评价方法 Download PDF

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CN105996991B
CN105996991B CN201610282263.5A CN201610282263A CN105996991B CN 105996991 B CN105996991 B CN 105996991B CN 201610282263 A CN201610282263 A CN 201610282263A CN 105996991 B CN105996991 B CN 105996991B
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CN105996991A (zh
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张诗杰
张慧
张珏
周殿阁
方竞
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Beijing thirty-four Technology Co., Ltd.
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Abstract

本发明公开一种膝关节功能稳定性评价系统及评价方法，涉及康复医学领域。1)瞄准足托2)靶盘3)摄像头4)数据分析处理器5)显示器。瞄准足托固定在患者大腿，瞄准足托向靶盘发射激光，靶盘接受激光并显现出光点，摄像头实施采集靶盘图像数据，传送给数据分析处理器，数据分析处理器分析得到膝关节稳定性数据，传送给显示器显示。

Description

膝关节功能稳定性评价系统及评价方法
技术领域
本发明涉及康复医学领域，具体涉及一种膝关节功能稳定性评价系统及评价方法。
背景技术
膝关节稳定性的下降会引发病人的膝关节疼痛或者直接导致运动受限。膝关节稳定性对于人,特别是骨关节炎患者非常重要，其稳定功能的下降被认为是骨关节炎发生与进展的局部危险因素。膝关节稳定性既涉及肌肉韧带力量等生物力学因素，又受到本体感觉以及中枢神经控制等诸多因素影响。是一种由多因素相互耦合作用形成复杂的感知和控制系统。传统方法多是从某一方面进行评价，临床实践表明，目前尚没有一种客观的膝关节稳定性评价指标。
发明内容
本发明的目的在于针对上述已有技术的不足，提供一种膝关节功能稳定性评价系统及评价方法，向康复医生提供一种定量、整体的膝关节功能稳定性指标。
为了实现上述目的，本发明的膝关节功能稳定性评价系统，包括：
1)瞄准足托2)靶盘3)摄像头4)数据分析处理器5)显示器。其中，瞄准足托向靶盘发射激光，靶盘接受激光并显现出光点，摄像头实施采集靶盘图像数据，传送给数据分析处理器，数据分析处理器分析得到膝关节稳定性数据，传送给显示器显示。
作为优选，所述的数据分析处理器是由图像预处理模块、光点追踪模块和复杂度分析模块；数据分析处理器从摄像头获取靶盘图像数据，通过前景背景分离算法，获得光点轨迹图像，传送给光点追踪模块；光点追踪模块利用光点轨迹图像，通过图像追踪算法，获得光点轨迹数据，传送给复杂度分析模块；复杂度分析模块利用光点轨迹数据，通过复杂度分析算法，获得膝关节稳定性数据，传送给显示器。
作为优选，所述的瞄准足托包括激光发射器、激光器托盘和人体工学固定器组成；人体工学固定器成弧形，贴合人大腿，其上固定有绑带可将人体工学固定器绑在用户大腿上；激光器托盘固定在人体工学固定器上，表面平整；激光发射器固定在激光器托盘上，具有360°转动自由度。
为了实现上述目的，本发明利用上述膝关节功能稳定性评价系统的方法，包括以下步骤：
(9a)靶盘挂于空中，距地面1.5-3米；
(9b)摄像头立于地面，距靶盘1-2米处；
(9c)用户坐于距摄像头1-3米处，瞄准足托固定于用户大腿；
(9d)用户移动大腿，使光点瞄准在靶盘中央，持续30-120秒；
(9e)读取显示器读数，该读数即为用户膝关节稳定性指数。
本发明具有如下优点：
1)通过整体论的方法对膝关节进行综合评价，能够全面的反应膝关节功能情况。
2)本发明操作简单，方便患者自行使用测试。
3)本发明为定量评价，数据稳定，重复性高。
附图说明
图1为本发明的整体结构示意图；
图2为本发明中的瞄准足托结构示意图；
图3为本发明中的数据分析处理器模块示意图；
图4为本发明中的工作流程图；
具体实施方式
下面通过具体实施例对本发明进行说明，但本发明并不局限于此。
参照图1，本发明的膝关节功能稳定性评价系统包括瞄准足托1靶盘2摄像头3数据分析处理器4显示器5。
参照图2，本发明的瞄准足托1包括激光发射器11、激光器托盘12、人体工学固定器13和一对绑带14组成。
膝关节瞄准测试首先要求被试坐于床上，双腿悬空于地面，膝盖窝与床沿间隔5-10公分。随后将瞄准足托1固定于患者小腿中部外侧，激光发射器11可上下转动以调节对准角度。之后调节激光发射器11，使患者屈膝30度时激光笔光点瞄准5米外靶盘2，持续60s，被试通过膝盖活动来瞄准靶盘2中心，摄像机3全程记录靶盘图像数据。患者两腿膝关节均进行该测试。摄像机的采样频率为100帧/秒。
数据分析处理器包括图像预处理模块、光点追踪模块和复杂度分析模块。数据分析处理器从摄像头获取靶盘图像数据，通过前景背景分离算法，获得光点轨迹图像，传送给光点追踪模块；光点追踪模块利用光点轨迹图像，通过图像追踪算法，获得光点轨迹数据，传送给复杂度分析模块；复杂度分析模块利用光点轨迹数据，通过复杂度分析算法，获得膝关节稳定性数据，传送给显示器。
测试结束后，读取显示器显示的读数，该数据即为膝关节功能稳定性指数。

Claims (4)

1.一种膝关节功能稳定性评价系统，包括：1)瞄准足托2)靶盘3)摄像头4)数据分析处理器5)显示器；其特征在于瞄准足托向靶盘发射激光，靶盘接受激光并显现出光点，摄像头实施采集靶盘实时图像数据，传送给数据分析处理器，数据分析处理器分析得到膝关节稳定性数据，传送给显示器显示。
2.根据权利要求1所述的一种膝关节功能稳定性评价系统，其特征在于，所述数据分析处理器是由图像预处理模块、光点追踪模块和复杂度分析模块；数据分析处理器从摄像头获取靶盘实时图像数据，通过前景背景分离算法，获得光点轨迹图像，传送给光点追踪模块；光点追踪模块利用光点轨迹图像，通过图像追踪算法，获得光点轨迹数据，传送给复杂度分析模块；复杂度分析模块利用光点轨迹数据，通过复杂度分析算法，获得膝关节稳定性数据，传送给显示器。
3.根据权利要求1所述的一种膝关节功能稳定性评价系统，其特征在于，瞄准足托包括激光发射器、激光器托盘、人体工学固定器和绑带组成；人体工学固定器成弧形，贴合人大腿，其上固定有绑带；激光器托盘固定在人体工学固定器上，表面平整；激光发射器固定在激光器托盘上，具有360°转动自由度。
4.一种利用权利要求1所述膝关节功能稳定性评价系统的方法，包括以下步骤：
(9a)靶盘垂直挂于空中，距地面1.5-3米；
(9b)摄像头立于地面，距靶盘1-2米处，拍摄方向朝向靶盘位置；
(9c)用户坐于距摄像头1-3米处，瞄准足托固定于用户大腿；
(9d)用户移动大腿，使光点持续瞄准在靶盘中央，持续30-120秒；
(9e)读取显示器读数，该读数即为用户膝关节稳定性指数。
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0568148A1 (en) * 1992-04-21 1993-11-03 Gatso Special Products B.V. Device for testing a joint
EP1227756A1 (en) * 1999-11-01 2002-08-07 Ecole de Technologie Superieure A system for the analysis of 3d kinematic of the knee
EP1219240A3 (en) * 2000-12-21 2002-11-27 Marconi Medical Sytems Finland Inc. Ligament loading device
EP1569554A1 (en) * 2002-12-03 2005-09-07 Aesculap AG & Co. KG Method of determining the position of the articular point of a joint
WO2006085387A1 (ja) * 2005-02-08 2006-08-17 Kouki Nagamune 非侵襲性動体解析システム及びその使用方法
WO2009156097A1 (de) * 2008-06-27 2009-12-30 Bort Medical Gmbh Vorrichtung zum bestimmen der stabilität eines kniegelenks
CN202154679U (zh) * 2011-06-21 2012-03-07 尹东 一种膝关节外旋角度测量装置
CN102446031A (zh) * 2010-10-09 2012-05-09 财团法人资讯工业策进会 激光光点轨迹追踪事件触发方法、系统及其电脑程序产品
CN104133565A (zh) * 2014-07-24 2014-11-05 四川大学 利用结构光技术实现的实时激光点追踪人机交互系统

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP0568148A1 (en) * 1992-04-21 1993-11-03 Gatso Special Products B.V. Device for testing a joint
EP1227756A1 (en) * 1999-11-01 2002-08-07 Ecole de Technologie Superieure A system for the analysis of 3d kinematic of the knee
EP1219240A3 (en) * 2000-12-21 2002-11-27 Marconi Medical Sytems Finland Inc. Ligament loading device
EP1569554A1 (en) * 2002-12-03 2005-09-07 Aesculap AG & Co. KG Method of determining the position of the articular point of a joint
WO2006085387A1 (ja) * 2005-02-08 2006-08-17 Kouki Nagamune 非侵襲性動体解析システム及びその使用方法
WO2009156097A1 (de) * 2008-06-27 2009-12-30 Bort Medical Gmbh Vorrichtung zum bestimmen der stabilität eines kniegelenks
CN102446031A (zh) * 2010-10-09 2012-05-09 财团法人资讯工业策进会 激光光点轨迹追踪事件触发方法、系统及其电脑程序产品
CN202154679U (zh) * 2011-06-21 2012-03-07 尹东 一种膝关节外旋角度测量装置
CN104133565A (zh) * 2014-07-24 2014-11-05 四川大学 利用结构光技术实现的实时激光点追踪人机交互系统

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