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Method for measuring the physical condition of the object to be measuredMethod for measuring the physical condition of the object to be measured

机译:测量被测物体的物理状态的方法测量被测物体的物理状态的方法

摘要

The present invention relates to a method and an apparatus for measuring exercise condition, especially a method for measuring an exertion endurance indicator representing exercise condition of a subject to be measured, such as maximal oxygen uptake or any such exertion endurance indicator representing exercise condition. The method is characterized in that, in the method a predetermined calculation formula is used preferably by means of a neural network, to which formula physiological parameters representing the subject to be measured are supplied. The input parameters comprise at least one or more of the following physiological parameters, such as sex, age, height, weight. One or more output parameters representing the exertion endurance indicator representing the exercise condition of the subject to be measured are obtained as a result from the calculation formula. In addition to the physiological parameters, one or more resting heartbeat parameters measured specifically from resting heartbeat are used as input parameters of the calculation formula. In the preferred embodiment of the invention, the calculation formula formed by means of a neural network construction.
机译:测量运动状态的方法和设备技术领域本发明涉及一种测量运动状态的方法和设备,尤其涉及一种用于测量代表待测对象的运动状态的运动耐力指标的方法,例如最大摄氧量或代表运动状态的任何这种运动耐力指标。该方法的特征在于,在该方法中,优选地通过神经网络使用预定的计算公式,向该公式提供代表要测量的对象的生理参数。输入参数包括以下生理参数中的至少一个或多个,例如性别,年龄,身高,体重。作为计算公式的结果,获得了一个或多个输出参数,该输出参数表示表示待测对象的运动状况的运动耐力指标。除了生理参数之外,还将根据静息心跳而具体测量的一个或多个静息心跳参数用作计算公式的输入参数。在本发明的优选实施例中,借助于神经网络构造来形成计算公式。

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