Using perceptive computing in multiple sclerosis - the Short Maximum Speed Walk test.
Using perceptive computing in multiple sclerosis - the Short Maximum Speed Walk test.
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DOI：
10.1186/1743-0003-11-89
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发表时间：
2014-05-27
影响因子：
5.1
通讯作者：
Brandt AU
中科院分区：
文献类型：
--
作者：
Behrens J;Pfüller C;Mansow-Model S;Otte K;Paul F;Brandt AU
我们研究了使用Microsoft Kinect™在多发性硬化症（MS）患者中进行感知计算辅助步态分析的适用性和可行性。为了检测最大步行速度和空间摇摆的程度，我们建立了一个计算机化的和独立于任何人的测量方法，我们将其命名为短最大速度步行（SMSW），并将其与MS步态残疾的临床测量方法进行比较，即扩展残疾状态量表（EDSS）和定时25英尺步行（T25 FW）。对22例MS患者（年龄平均值± SD 43 ± 9岁，13例女性）和22例年龄和性别匹配的健康对照受试者（HC）（年龄37 ± 11岁，13例女性）进行了横断面研究。使用EDSS（中位数3.0，范围0.0-6.0）对每位MS患者的残疾程度进行分级。然后，所有受试者进行SMSW和定时25英尺步行（T25 FW）。SMSW包括5个步态参数，共同评估不同维度（左/右、上/下和3D偏差）的平均步行速度和步态稳定性。MS患者的SMSW平均步行速度（1.6 ± 0.3 m/sec）低于HC患者（1.8 ± 0.4 m/sec）（p = 0.005），并且与EDSS相关性良好（斯皮尔曼Rho 0.676，p < 0.001）。此外，SMSW显示MS患者的左/右偏高于HC。SMSW显示出较高的识别质量和重测可靠性（协方差0.13 m/sec，ICC 0.965，p < 0.001）。SMSW平均步行速度与T25 FW之间存在显著相关性（Pearson’s R =-0.447，p = 0.042）。我们的数据表明，使用Microsoft Kinect™的步态测试是可行的，耐受性良好，可以检测MS患者的临床步态障碍。
We investigated the applicability and feasibility of perceptive computing assisted gait analysis in multiple sclerosis (MS) patients using Microsoft Kinect™. To detect the maximum walking speed and the degree of spatial sway, we established a computerized and observer-independent measure, which we named Short Maximum Speed Walk (SMSW), and compared it to established clinical measures of gait disability in MS, namely the Expanded Disability Status Scale (EDSS) and the Timed 25-Foot Walk (T25FW). Cross-sectional study of 22 MS patients (age mean ± SD 43 ± 9 years, 13 female) and 22 age and gender matched healthy control subjects (HC) (age 37 ± 11 years, 13 female). The disability level of each MS patient was graded using the EDSS (median 3.0, range 0.0-6.0). All subjects then performed the SMSW and the Timed 25-Foot Walk (T25FW). The SMSW comprised five gait parameters, which together assessed average walking speed and gait stability in different dimensions (left/right, up/down and 3D deviation). SMSW average walking speed was slower in MS patients (1.6 ± 0.3 m/sec) than in HC (1.8 ± 0.4 m/sec) (p = 0.005) and correlated well with EDSS (Spearman’s Rho 0.676, p < 0.001). Furthermore, SMSW revealed higher left/right deviation in MS patients compared to HC. SMSW showed high recognition quality and retest-reliability (covariance 0.13 m/sec, ICC 0.965, p < 0.001). There was a significant correlation between SMSW average walking speed and T25FW (Pearson’s R = -0.447, p = 0.042). Our data suggest that ambulation tests using Microsoft Kinect™ are feasible, well tolerated and can detect clinical gait disturbances in patients with MS. The retest-reliability was on par with the T25FW.
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DOI：
10.3390/s120201437
发表时间：
2012
期刊：
Sensors (Basel, Switzerland)
影响因子：
--
作者：
Khoshelham K;Elberink SO
通讯作者：
Elberink SO
影响因子：
2
作者：
Kalron, Alon;Achiron, Anat;Dvir, Zeevi
通讯作者：
Dvir, Zeevi
影响因子：
5.8
作者：
Crenshaw, S. J.;Royer, T. D.;Hudson, D. J.
通讯作者：
Hudson, D. J.
影响因子：
9.9
作者：
Hobart, Jeremy;Blight, Andrew R.;Putzki, Norman
通讯作者：
Putzki, Norman
影响因子：
11.2
作者：
Polman CH;Reingold SC;Banwell B;Clanet M;Cohen JA;Filippi M;Fujihara K;Havrdova E;Hutchinson M;Kappos L;Lublin FD;Montalban X;O'Connor P;Sandberg-Wollheim M;Thompson AJ;Waubant E;Weinshenker B;Wolinsky JS
通讯作者：
Wolinsky JS