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首页> 外文期刊>Gait & posture >Stair climbing detection during daily physical activity using a miniature gyroscope.
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Stair climbing detection during daily physical activity using a miniature gyroscope.

机译：使用微型陀螺仪在日常体育活动中进行楼梯爬升检测。

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摘要

A new method of monitoring physical activity that is able to detect walking upstairs using a miniature gyroscope attached to the shank is presented. Wavelet transformation, in conjunction with a simple kinematics model, was used to detect toe-off, heel-strike and foot-flat, as well cycles corresponding to stair ascent. To evaluate the system, three studies were performed. The method was first tested on 10 healthy young volunteer subjects in a gait laboratory where an ultrasonic motion system was used as a reference system. In the second study, the system was tested on three hospitalized elderly people to classify walking upstairs from walking downstairs and flat walking. In the third study, monitoring was performed on seven patients with peripheral vascular disease for 60min during their daily physical activity. The first study revealed a close relationship between the ambulatory and the reference systems. Compared to the reference system, the ambulatory system had an overall sensitivity and specificity of 98% and 97%, respectively. In the second study, the ambulatory system also showed a very high sensitivity (>94%) in identifying a 50 stairs ascent from walking on the flat and walking downstairs. Finally, compared with visual surveillance, we observed a relatively high accuracy in identifying 196 walking upstairs cycles through daily physical activity in the third study. Our results demonstrated a reliable technique of measuring walking upstairs during physical activity.
机译：提出了一种监视体育活动的新方法，该方法能够使用连接到小腿的微型陀螺仪检测到楼上的行走情况。小波变换与简单的运动学模型结合在一起，用于检测脚趾偏离，后跟震颤和脚后跟扁平以及相应于楼梯上升的周期。为了评估该系统，进行了三项研究。该方法首先在步态实验室中对10名健康的年轻志愿者受试者进行了测试，该步态实验室使用超声运动系统作为参考系统。在第二项研究中，该系统在三名住院的老年人中进行了测试，以将楼上行走与楼下行走和平坦行走进行分类。在第三项研究中，对七名外周血管疾病患者的日常体育锻炼进行了60分钟的监测。第一项研究揭示了门诊系统和参考系统之间的紧密关系。与参考系统相比，非卧床系统的整体敏感性和特异性分别为98％和97％。在第二项研究中，门诊系统在从楼上行走和楼下行走中识别出50个台阶的上升过程中也显示出很高的灵敏度（> 94％）。最后，与视觉监控相比，在第三项研究中，我们观察到通过日常体育锻炼识别196个步行上楼周期的准确性较高。我们的结果证明了在体育锻炼过程中测量上楼步行的可靠技术。

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