Detection method of vital signs during sleeping

Abstract

The invention provides a detection method of vital signs during sleeping. The detection method is based on a sleep detection device which comprises a piezoelectric thin film sensor, and the piezoelectric thin film sensor collects pressure signals when a person sleeps. The method includes following steps: performing power amplifying and filtering on the pressure signals; setting sampling frequency,and performing AD sampling on processed pressure signals; selecting a time period, and processing the pressure signals collected within the time period to serve as reference signals for judging whether a user has heart beat, respiration, snoring and body movement; dividing the pressure signals into four branches, namely heart beat signals, respiration signals, snoring signals and body motion signals; according to the heart beat signals, the respiration signals, the snoring signals and the body motion signals, respectively calculating heart beat data, respiration data, snoring data and body motion data; according to the heart beat data, the respiration data, the snoring data and the body motion data, acquiring the vital signals of the person.

Description

technical field [0001] The invention relates to the field of smart home, in particular to a method for detecting vital signs during sleep. Background technique [0002] With the improvement of living standards, people have higher and higher requirements for sleep quality. Therefore, sleep detection technology is more and more used in daily life. [0003] The Chinese patent application with the publication number CN107049255 A discloses a wearable smart device and its sleep algorithm. The signal is obtained by sampling the acceleration sensor and the PPG heart rate light sensor in the system, and then the acceleration sensor data obtained is processed by the microprocessor. Perform analysis and calculation and convert it into acceleration values ​​in the three directions of X-axis, Y-axis and Z-axis in three-dimensional space. The PPG heart rate sensor can obtain the heart rate value and transmit it to the microprocessor for analysis and calculation. The microprocessor can pa...

AI Technical Summary

Problems solved by technology

The disadvantages of this technology are: the detection conditions for falling asleep are relatively harsh, and it needs to meet the pre-set conditions for half an hour before falling asleep, and the detection error for people with insomnia is relatively large; Disadvantages such as large power and large equipment size cause the algorithm to a certain extent to have these limitations

The shortcomings of this technology are: the process is too complicated, the power consumption is high, the requirements for processing chips are relatively high, the detection process is too cumbersome, the equipment is too large, and the cost is high

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