Data synchronization method in body area network, detection terminal and computer readable storage medium

Abstract

The invention provides a data synchronization method in a body area network, a detection terminal and a computer readable storage medium. The method comprises the steps: receiving a synchronization signal transmitted by a synchronization signal terminal, and recording the receiving time of the synchronization signal according to a local clock signal, wherein each synchronization signal comprises a timestamp generated according to a clock signal of the synchronization signal terminal; acquiring the sample data sequences from the sensors, recording the obtaining time of the sample data sequences according to local clock signals, wherein each sample data sequence comprises one or more pieces of sensor data obtained through equal-interval sampling of the sensors, and the acquisition time of the sample data sequence is used for calculating the calibration time of the sensor data corresponding to the clock signal of the synchronization signal terminal together with the timestamp of the synchronization signal and the receiving time of the synchronization signal. According to the invention, high-precision synchronization of sample data of different detection terminals in the body area network can be realized.

Description

technical field [0001] The present invention relates to the field of body area network, more specifically, to a data synchronization method, system, detection terminal and computer-readable storage medium in the body area network. Background technique [0002] With the rapid development of wireless communication technology and wearable biosensor technology, wearable biosensor devices have moved from theory to practical application. Through wearable biosensor devices, various vital sign parameters of the human body can be collected, such as pulse, blood pressure, body temperature, blood oxygen, respiration, etc., for use in the diagnosis of human health status. The above-mentioned multi-sensor collaborative system often requires different detection terminals (that is, wearable biosensor devices) to be worn on different parts of the body. In order to make users feel comfortable and beautiful, each sensor needs to be connected through wireless communication to form a body domai...

AI Technical Summary

Problems solved by technology

Although increasing the sampling rate can improve the time accuracy, it may form a bottleneck in the transmission speed of the body area network and is more susceptible to the influence of the wireless network environment

Moreover, in practical applications, in order to save power consumption, the sample data from the detection terminal is often read through FIFO, and there is no fixed relationship between the reading time and the sample data collection time, which makes it difficult to align the sample data of each detection terminal in time

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