A method and system for monitoring sleep quality based on body shock signals

Abstract

The invention discloses a sleep quality monitoring method based on human body-vibration signals. The sleep quality monitoring method comprises the following steps: 1, acquiring the human body-vibration signals when a human body is in a sleep state, and calculating a plurality of vital sign values through the human body-vibration signals; 2, calculating weights of the vital sign values at time t separately; 3, calculating comprehensive weighted values according to the weights of at least two vital sign values, and comparing the comprehensive weighted values with preset thresholds to determine the sleep stage of the human body at time t. Moreover, the invention also discloses a system for realizing the sleep quality monitoring method based on the human body-vibration signals. A sensorless measurement technology based on the human body-vibration signals is adopted, the human body-vibration signals caused by thoracoabdominal motion, heart fluctuation and the like can be monitored in real time in a human body sleep process, the human body-vibration signals are separated and recognized by means of algorithm processing to obtain heartbeats, breathing and human body movement data on a bedrespectively, and monitoring and assessment of sleep condition of the human body is achieved.

Description

technical field [0001] The invention relates to the field of sleep quality monitoring. More specifically, the present invention relates to a sleep quality monitoring method and system based on body shock signals. Background technique [0002] With the improvement of living standards, people pay more and more attention to their own health status. The quality of sleep is related to the working status of the day, and it is also an objective reflection of the physical condition. The existing technical solutions for sleep quality measurement mainly include the following three types: [0003] (1) Polysomnography (PSG), a PSG comprehensive sleep test includes the following six items: ①Oxygen saturation; ②Respiration: breathing rate, air volume, snoring, O2 volume, esophageal pressure; ③Cardiovascular system: Stroke rate, blood pressure; ④ sleep stage: brain wave detection, activity detection; ⑤ body position detection; ⑥ other (body movement). However, PSG measurement cannot be ...

AI Technical Summary

Problems solved by technology

However, in some existing products, the detection system is set at the foot of the bed, resulting in a small number of sensors, inconvenient installation, and the inability to comprehensively and specifically record the sleep state, and it is greatly disturbed by the outside world.

There are also some products where the detection device is arranged under the mattress, and the data transmission needs to pass through the network cable, resulting in more cables and limited installation; or most of them are arranged in hospitals, nursing homes and other places where the beds are concentrated, which cannot meet the needs of personal consumption.

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