使用创新型可穿戴技术评估糖尿病患者的姿势控制和姿势控制策略。
Assessing postural control and postural control strategy in diabetes patients using innovative and wearable technology.
作者信息
Najafi Bijan, Horn Deena, Marclay Samuel, Crews Ryan T, Wu Stephanie, Wrobel James S
机构信息
Center for Lower Extremity Ambulatory Research, Scholl College of Podiatric Medicine, Rosalind Franklin University of Medicine & Science, North Chicago, Illinois 60064, USA.
出版信息
J Diabetes Sci Technol. 2010 Jul 1;4(4):780-91. doi: 10.1177/193229681000400403.
INTRODUCTION
Currently, diagnosis of patients with postural instability relies on a rudimentary clinical examination. This article suggests an innovative, portable, and cost-effective prototype to evaluate balance control objectively.
METHODS
The proposed system uses low-cost, microelectromechanical sensor, body-worn sensors (BalanSens) to measure the motion of ankle and hip joints in three dimensions. We also integrated resulting data into a two-link biomechanical model of the human body for estimating the two-dimensional sway of the center of mass (COM) in anterior-posterior (AP) and medial-lateral (ML) directions. A new reciprocal compensatory index (RCI) was defined to quantify postural compensatory strategy (PCS) performance. To validate the accuracy of our algorithms in assessing balance, we investigated the two-dimensional sway of COM and RCI in 21 healthy subjects and 17 patients with diabetic peripheral neuropathic (DPN) complications using the system just explained. Two different conditions were examined: eyes open (EO) and eyes closed (EC) for duration of at least 30 seconds. Results were compared with center of pressure sway (COP) as measured by a pressure platform (Emed-x system, Novel Inc., Germany). To further investigate the contribution of the somatosensory (SOM) feedback to balance control, healthy subjects performed EO and EC trials while standing on both a rigid and a foam surface.
RESULTS
A relatively high correlation was observed between COM measured using BalanSens and COP measured using the pressure platform (r = 0.92). Results demonstrated that DPN patients exhibit significantly greater COM sway than healthy subjects for both EO and EC conditions (p < 0.005). The difference becomes highly pronounced while eyes are closed (197 +/- 44 cm(2) vs 68 +/- 56 cm(2)). Furthermore, results showed that PCS assessed using RCI is significantly better in healthy subjects compared to DPN subjects for both EO and EC conditions, as well as in both ML and AP directions (p < 0.05). Alteration in SOM feedback in healthy subjects resulted in diminished RCI values that were similar to those seen in DPN subjects (p > 0.05).
DISCUSSION/CONCLUSION: This study suggested an innovative system that enables the investigation of COM as well as postural control compensatory strategy in humans. Results suggest that neuropathy significantly impacts PCS.
引言
目前,对姿势不稳定患者的诊断依赖于基本的临床检查。本文提出了一种创新、便携且经济高效的原型系统,用于客观评估平衡控制。
方法
所提出的系统使用低成本的微机电传感器、可穿戴式传感器(BalanSens)来测量踝关节和髋关节在三维空间中的运动。我们还将所得数据整合到人体的双连杆生物力学模型中,以估计质心(COM)在前后(AP)和内外侧(ML)方向上的二维摆动。定义了一种新的相互补偿指数(RCI)来量化姿势补偿策略(PCS)的性能。为了验证我们的算法在评估平衡方面的准确性,我们使用上述系统研究了21名健康受试者和17名患有糖尿病周围神经病变(DPN)并发症患者的COM二维摆动和RCI。检查了两种不同的情况:睁眼(EO)和闭眼(EC),持续时间至少30秒。将结果与通过压力平台(德国Novel公司的Emed - x系统)测量的压力中心摆动(COP)进行比较。为了进一步研究体感(SOM)反馈对平衡控制的贡献,健康受试者在刚性表面和泡沫表面站立时进行了EO和EC试验。
结果
使用BalanSens测量的COM与使用压力平台测量的COP之间观察到相对较高的相关性(r = 0.92)。结果表明,在EO和EC两种情况下,DPN患者的COM摆动均显著大于健康受试者(p < 0.005)。闭眼时差异变得非常明显(197 +/- 44 cm² 对 68 +/- 56 cm²)。此外,结果表明,在EO和EC两种情况下,以及在ML和AP两个方向上,使用RCI评估的PCS在健康受试者中明显优于DPN受试者(p < 0.05)。健康受试者中SOM反馈的改变导致RCI值降低,与DPN受试者中观察到的值相似(p > 0.05)。
讨论/结论:本研究提出了一种创新系统,能够对人体的COM以及姿势控制补偿策略进行研究。结果表明神经病变对PCS有显著影响。