Statistical correlation analysis between kinematic features and clinical indexes and scales for obese patients

G. Cesarelli, L. Donisi, G. Caprio, M. Scioli, A. Biancardi, G. D'Addio
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引用次数: 1

Abstract

The study of posture and gait abnormalities has revealed over years potential information to improve the rehabilitation outcome of several classes of ill patients; nevertheless, this results still an area of research almost completely unexplored in the case of obese patients. Consequently, this study was designed as a preliminary investigation to determine potential statistical correlations between kinematic features and “gold standard” methodologies in the field, e.g., the Western Ontario and Mc Master University scale and the Barthel index. To this aim, physicians prepared bioelectrical impedance analyses and clinical assessments to evaluate patients' clinical scores, while biomedical engineers have organized Instrumented Stand and Walking tests to quantify several kinematic features using a microelectromechanical system equipped by a series of inertial measurement units. Finally, a statistical correlation analysis has allowed to reveal several features – related to patients’ anticipatory postural adjustments movements and gait – demonstrated a mild and moderate correlation with some clinical indices. In conclusion, this paper presents a novel view to address and design innovative rehabilitation strategies for obese patients.
肥胖患者运动特征与临床指标及量表的统计相关分析
多年来,姿势和步态异常的研究揭示了改善几类患者康复结果的潜在信息;然而,在肥胖患者的研究中,这一结果仍然是一个几乎完全未被探索的研究领域。因此,本研究被设计为初步调查,以确定运动学特征与该领域的“黄金标准”方法之间的潜在统计相关性,例如,西安大略和麦克马斯特大学量表和Barthel指数。为此,医生准备了生物电阻抗分析和临床评估来评估患者的临床评分,而生物医学工程师组织了仪器站立和行走测试,使用由一系列惯性测量单元配备的微机电系统来量化几个运动学特征。最后,统计相关性分析揭示了几个特征——与患者预期的姿势调整运动和步态相关——与一些临床指标表现出轻度和中度的相关性。综上所述,本文提出了一种新颖的观点来解决和设计肥胖患者的创新康复策略。
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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