Quantification of postural stability changes in patients with impairments in postural control

J. Majerník, M. Molcan, J. Živčák
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引用次数: 2

Abstract

This paper presents a methodology of human motion analysis and its clinical application used to study postural stability and balance control strategies in patients with various vestibular diseases. A marker-free analysis system was used to detect and evaluate motion of anatomical landmarks in single video camera records. The reconstructed motion trajectories of particular body segments were used to derive significant biomechanical parameters during balance control oriented tests with and without visual input. Pilot study was realized at the group of 22 patients to verify both the system functionality and the methodology suitability. All here included patients were evaluated separately as first, because of their different impairments affecting postural control. Then, the results were analysed within the group of here included patients as well. The first results showed that the method was efficient and proved quantitative changes in posture stability parameters as well as their dependence on visual perception. Also, the results obtained in patients with similar symptoms convinced us that the increasing number of analysed subjects and thus increasing database of patients' data could help clinicians to identify the background of closely related groups of posture disorders as well as to improve the patients' health status by supporting of decision making process aimed to select optimal treatment.
体位控制障碍患者体位稳定性变化的量化
本文介绍了一种人体运动分析方法及其临床应用,用于研究各种前庭疾病患者的姿势稳定性和平衡控制策略。无标记分析系统用于检测和评估单个摄像机记录中解剖标志的运动。在有和没有视觉输入的平衡控制定向测试中,利用重建的特定身体部分的运动轨迹来获得重要的生物力学参数。在22例患者中进行了初步研究,以验证系统功能和方法的适用性。所有纳入的患者都被单独评估为第一,因为他们不同的损伤影响姿势控制。然后,将结果在包括患者在内的组内进行分析。结果表明,该方法是有效的,并证明了姿态稳定性参数的定量变化及其对视觉感知的依赖性。此外,在症状相似的患者中获得的结果使我们相信,分析对象数量的增加,从而增加患者数据数据库,可以帮助临床医生识别密切相关的姿势障碍群体的背景,并通过支持决策过程来选择最佳治疗方案,改善患者的健康状况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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