公开(公告)号：US06277080B1

公开(公告)日：2001-08-21

申请号：US09142444

申请日：1998-11-20

申请人： Seppo Nissilä ,  Juha Röning ,  Antti Ruha ,  Kauko Väinämö

发明人： Seppo Nissilä ,  Juha Röning ,  Antti Ruha ,  Kauko Väinämö

IPC分类号： A61B502

CPC分类号： A61B5/7264 ,  A61B5/02438 ,  A61B5/7267 ,  G06F19/00 ,  Y10S128/925

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 is formed by means of a neural network construction.

摘要翻译： 本发明涉及一种用于测量运动状况的方法和装置，特别是一种用于测量表示要测量的受试者的运动状况（例如最大氧摄取）的运动耐力指标的方法，或表示运动条件的任何此类运动耐力指标。 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，提供表示要测量的对象的公式生理参数。 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，获得表示表示待测对象的运动状况的运动耐力指标的一个或多个输出参数。 除了生理参数之外，还将一个或多个静息心跳参数用静息心跳测量作为计算公式的输入参数。 在本发明的优选实施例中，通过神经网络构造形成计算公式。