Frequency detection method and device, electronic equipment and storage medium

Abstract

The invention provides a frequency detection method and device, electronic equipment and a storage medium, and relates to the technical field of sensors, a plurality of vibration signals are obtained through a plurality of sensors, a filter bank is adopted to filter the plurality of vibration signals, a plurality of filtered analog signals are obtained, analog-to-digital conversion is performed on the plurality of filtered analog signals, and a frequency detection result is obtained. The method comprises the following steps: acquiring a plurality of digital signals, respectively determining the maximum amplitude frequency corresponding to each digital signal in the plurality of digital signals, and determining a target frequency value based on the maximum amplitude frequency corresponding to each digital signal. Signals are acquired based on a plurality of sensors, and finally, a plurality of maximum amplitude frequencies are used for comprehensive calculation to determine a target frequency value, so that the signal acquisition error of a single sensor and the calculation deviation caused by different contact degrees of a to-be-detected object and the single sensor are avoided.

Description

technical field [0001] The present application relates to the field of sensor technology, and in particular, to a frequency detection method, device, electronic device and storage medium. Background technique [0002] With the development of electrical technology, more and more electrical technology is used in the fields that benefit people's daily life. In order to detect the heartbeat frequency of the human body, in the process of detection, in the prior art, there is a method of constructing an adaptive filter to extract the heartbeat frequency. However, in this method, it is necessary to iterate continuously, and the convergence speed is slow and stable. The performance decreases as the filter order increases, and the accuracy is lower. Alternatively, there is a method of calculating the heartbeat frequency by using a machine learning algorithm, which has high requirements on the chip and the calculation process is extremely complicated. [0003] How to realize a frequ...

AI Technical Summary

Problems solved by technology

For detecting the heartbeat frequency of the human body, in the process of detection, in the prior art, there is a way to extract the heartbeat frequency by constructing an adaptive filter. However, in this way, continuous iterations are required, and the convergence speed is slow and stable. The performance will decrease with the increase of the filter order, and the accuracy will be lower

Or, there is a way to calculate the heartbeat frequency using machine learning algorithms. This method has high requirements on the chip and the calculation process is extremely complicated.

Images