Evaluation of Four Square Step Test Using Wearable Motion Sensor in Hemiplegic Patients
Evaluation of Four Square Step Test Using Wearable Motion Sensor in Hemiplegic Patients
复制标题
使用可穿戴运动传感器对偏瘫患者进行四方步测试的评估
DOI：
10.11239/jsmbe.53.32
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发表时间：
2015
影响因子：
--
通讯作者：
兪文偉
中科院分区：
文献类型：
--
作者：
桑江豊;関根正樹;田村俊世;藤元登四郎;兪文偉
步行和平衡测试用于评估康复的效果和进行测试所需的时间。四步测试（FSST）是一种用于评估中风和骨科疾病患者平衡的有用测试。对于FSST，使用4个条将地板表面划分为4个区域。受试者必须按顺序从一个区域进入相邻区域，并评估他们的运动和稳定性。然而，尚未对向前、向后、向右和向左运动阶段的过渡进行详细评估。本研究旨在使用包括能够识别受试者运动方向的加速度计和角速度传感器的可穿戴运动传感器，详细评估中风后偏瘫患者和老年受试者的FSST。12例脑卒中后偏瘫患者（左侧偏瘫6例，右侧偏瘫6例;下肢Brunnstrom分期：V）和6例正常老年人。将传感器连接到受试者的腰部和两条大腿上。然后给予FSST，同时记录视频。利用大腿的角速度信号，对FSST的四个运动阶段进行了分类。分析了以下项目：均方根（RMS）加速度、RMS角速度、大腿角度振幅和振幅/执行时间。可穿戴运动传感器测量的时间与监控视频记录的时间相关（r= 0.88，p< 0.05）。正常老年人和偏瘫患者的总执行时间无显著差异。正常老年人与偏瘫患者腰部RMS加速度和RMS角速度差异有显著性（p< 0.05）。此外，偏瘫患者和正常老年人在进行FSST时跨杠时大腿角度的变化是不同的。我们的结论是FSST使用可穿戴运动传感器是有用的中风后偏瘫患者的平衡评估。
Walking and balance tests are used for evaluating the effects of rehabilitation and the time taken to perform the test. The Four Square Step Test (FSST) is a useful test for evaluating balance in patients with stroke and orthopedic diseases. For the FSST, 4 bars are used to divide a floor surface into 4 areas. Subjects have to step from one area into the neighboring area in a sequence, and their movements and stability are evaluated. However, no detailed evaluation has been conducted on the transition of the forward, backward, right, and left movement phases. This study aimed at detailed evaluation of the FSST in post-stroke hemiplegic patients and elderly subjects, using wearable motion sensors comprising an accelerometer and angular velocity sensors capable of identifying the direction of the subjects' movements. Twelve post-stroke hemiplegic patients (6 left hemiplegic patients, 6 right hemiplegic patients; Brunnstrom stage of the lower limb: V) and 6 normal elderly subjects were studied. The sensor was attached to the waist and both thighs of a subject. Then FSST was administered and a video was recorded simultaneously. Using the angular velocity signals of the thigh, the four movement phases in FSST were classified. The following items were analyzed: root mean square (RMS) acceleration, RMS angular velocity, amplitude of the thigh angle, and amplitude/performing time. The time measured by the wearable motion sensors correlated with the time recorded by the monitoring video (r= 0.88, p< 0.05). The total performing time did not differ significantly between normal elderly subjects and hemiplegic patients. The RMS acceleration and RMS angular velocity for the waist were significantly different between normal elderly subjects and hemiplegic patients (p< 0.05). Furthermore, the changes in the thigh angle of patients when they stepped over the bars while performing the FSST were different between hemiplegic patients and normal elderly subjects. We conclude that the FSST using wearable motion sensors is useful for the evaluation of balance in post-stroke hemiplegic patients.