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首页> 外文会议>IEEE International Conference on Bioinformatics and Bioengineering >Automated Evaluation of Hand Motor Function Recovery by Using Finger Pressure Sensing Device for Home Rehabilitation
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Automated Evaluation of Hand Motor Function Recovery by Using Finger Pressure Sensing Device for Home Rehabilitation

机译：使用手指压力传感装置进行家庭康复自动评估手机功能恢复

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Paralysis of fingers, which is caused by Hemiplegia, is difficult to recover. Patients often forced to leave hospital with paralysis remaining at hand. By this, a continuous rehabilitation at home is needed. However, it is difficult to carry out finger rehabilitation without help of therapists. To this end, we have been proposing an automated finger rehabilitation device that is used for home rehabilitation. The device is made of a set of finger pressure sensors. A patient is requested to lift a finger, and the sensors monitor whether undesirable movements are found on the other fingers. This monitoring of the degree of involuntary movements is expected to be used as measuring the degree of the patient's condition of recovery. For this, we proposed a quantification method in our previous study. The method is based on the hypothesis that a patient is regarded as making recovery if his/her movement gets close to that of a healthy person. However, in the previous study, only four fingers (index, middle, ring, little) are used to evaluate the degree of recovery. The other finger, the thumb, is quite different from the other finger in an anatomical term, and it was impossible to deal with the sensory signals of the thumb with the other finger signals. In this paper, we show a new recovery evaluation method that involves the sensor signals of all the fingers. We explain two possible evaluation methods: one is the model less simple integration method, and the other is an integration by Generalized Linear Model (GLM). Comparing these methods, we conclude that the integration method by GLM provides a good scalar measurement of recovery, which was validated by the experiments conducted with patients who were previously evaluated by clinical scale.
机译：用偏瘫引起的手指瘫痪难以恢复。患者经常被迫留在手头瘫痪的医院。由此，需要在家里进行连续的康复。然而，在没有治疗师的帮助下，难以进行手指康复。为此，我们一直在提出一种用于家庭康复的自动手指康复装置。该装置由一组手指压力传感器制成。要求患者举起手指，传感器监控是否在另一个手指上找到不期望的运动。这种监测不自愿运动程度预计将被用作测量患者恢复条件的程度。为此，我们在我们以前的研究中提出了一种定量方法。该方法基于假设，即患者被认为是在他/她的运动接近健康人物的情况下进行恢复。然而，在以前的研究中，只使用四个手指（指数，中间，环，小）来评估恢复程度。另一个手指，拇指在解剖术语中与另一个手指完全不同，并且不可能处理拇指的感觉信号与另一个手指信号。在本文中，我们展示了一种新的恢复评估方法，涉及所有手指的传感器信号。我们解释了两个可能的评估方法：一个是模型较少的简单集成方法，另一个是通过广义线性模型（GLM）的集成。比较这些方法，我们得出结论，GLM的集成方法提供了良好的恢复量测量，该测量通过与先前通过临床规模评估的患者进行的实验验证。

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