Heart rate detection mattress and method

Abstract

The invention provides a heart rate detection mattress and method. The heart rate detection method includes the steps of obtaining a heart rate vibration signal; selecting the heart rate vibration signal through a preset time window; inquiring about the local peak values in the heart rate vibration signal in the time window, wherein each local peak value is larger than the vibration amplitudes of a preset time point before the local peak value and a preset time point after the local peak value, and every two corresponding preset time points are continuous; calculating the credibility parameters of the local peak values according to the signal amplitudes of the local peak values and the time points, and marking the local peak values with the maximum credibility parameter numerical values as identification points in the time window; calculating the time interval between every two adjacent identification points in the heart rate vibration signal to serve as the heart rate period. By means of the scheme, error caused by the individual difference of detection objects can be avoided, and the detection accuracy is high.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a mattress for heart rate detection and a heart rate detection method. Background technique [0002] Heart rate is the rate at which the heart beats, the number of times the heart beats per minute. Heart rate can vary with age, gender, and other physiological conditions. There are also significant individual differences in the resting heart rate of normal adults. [0003] The existing heart rate monitoring method is to use a sensor to convert the vibration signal of the heart into a corresponding electrical signal, and then determine the heart rate according to the period of the peak by searching for the peak value of the electrical signal within a certain time range. However, this method has the following problems: the heart rate is affected by various factors such as the age and gender of the subject, and there is a large fluctuation range, and the search range is not...

AI Technical Summary

Problems solved by technology

However, this method has the following problems: the heart rate is affected by various factors such as the age and gender of the subject, and there is a large fluctuation range, and the search range is not easy to determine

Comparing the waveforms in the figure, it can be seen that the accuracy of heart rate detection determined according to the peak period of the waveform is greatly affected by the fluctuation of the signal, especially in the case of poor signal, the obtained heart rate data is not accurate enough

[0005] In addition, the existing heart rate detection requires a special sensor on the human body, which will affect the normal sleep of the detected person, and there is also a lack of means for heart rate detection without affecting sleep in the prior art

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