Exercise process heart rate predicting method and device based on acceleration sensor
An acceleration sensor and motion process technology, applied in the measurement of pulse rate/heart rate, etc., can solve the problems of not being able to meet the requirements of portability, flexibility and easy operation, and not being able to predict the heart rate of the measured object
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Embodiment 1
[0035] Such as figure 1 As shown, this example provides a method for predicting heart rate during exercise based on an acceleration sensor, including the following steps:
[0036] Step S1, collecting and calculating the acceleration vector generated by the measured object during the movement process through the acceleration sensor;
[0037] Step S2, by analyzing the change of the acceleration vector value on the time axis, calculating the change of the energy consumption of the measured object during the movement, and establishing a relationship model between the acceleration vector and the energy consumption;
[0038] Step S3, collecting the basic information of the subject to be tested, and obtaining the basal metabolic rate, maximum heart rate, oxygen uptake at maximum heart rate and energy consumption at maximum heart rate of the subject through calculation;
[0039] Step S4, establishing a relationship model between the heart rate and energy consumption of the subject du...
Embodiment 2
[0065] On the basis of Example 1, this example carried out an actual simulation test to test a method for predicting heart rate during exercise based on a three-axis acceleration sensor, including the following steps:
[0066] Step A, the three-axis acceleration sensor senses the acceleration signals generated by the object under test in the three directions of front and back, horizontal and vertical, and measures the acceleration vectors in the three directions of X, Y and Z, and calculates the acceleration vector at the corresponding moment .
[0067] Step B, establish the relationship model between the variation of the acceleration vector on the time axis and the energy consumption Find the variation of energy consumption, and then find the value of new energy consumption, the coefficient k 1 The value range of is any one of 0.005, 0.007 and 0.010.
[0068] Step C, calculate the basal metabolic rate BMR of the tested human body according to the sex, weight, height and ag...
Embodiment 3
[0074] The present invention also provides a device for predicting heart rate during exercise based on an acceleration sensor. The device for predicting heart rate during exercise based on an acceleration sensor adopts the method for predicting heart rate during exercise based on an acceleration sensor as described in Embodiment 1 or Embodiment 2.
[0075] Preferably, the device for predicting the heart rate during exercise based on the acceleration sensor described in this example is a watch. When the elderly or special people with heart rate health problems wear the device for predicting the heart rate during exercise based on the acceleration sensor according to the present invention, through a certain The statistics and analysis of time data can realize the prediction of heart rate during exercise, which is of great significance.
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